July 2024
Volume 13, Issue 7
Open Access
Review  |   July 2024
Photoactivated Chromophore for Keratitis-Corneal Cross-linking (PACK-CXL)—A Scoping Review Based on Preclinical Studies
Author Affiliations & Notes
  • Malwina E. Kowalska
    Section of Veterinary Epidemiology, Vetsuisse Faculty, University of Zurich, Switzerland
  • Simon A. Pot
    Ophthalmology Section, Equine Department, Vetsuisse Faculty, University of Zurich, Switzerland
  • Sonja Hartnack
    Section of Veterinary Epidemiology, Vetsuisse Faculty, University of Zurich, Switzerland
  • Correspondence: Malwina E. Kowalska, Section of Veterinary Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich 8006, Switzerland. e-mail: malwina.kowalska@uzh.ch 
  • Footnotes
     SAP and SH contributed equally to the manuscript and therefore share last authorship.
Translational Vision Science & Technology July 2024, Vol.13, 14. doi:https://doi.org/10.1167/tvst.13.7.14
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Malwina E. Kowalska, Simon A. Pot, Sonja Hartnack; Photoactivated Chromophore for Keratitis-Corneal Cross-linking (PACK-CXL)—A Scoping Review Based on Preclinical Studies. Trans. Vis. Sci. Tech. 2024;13(7):14. https://doi.org/10.1167/tvst.13.7.14.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: Photoactivated chromophore for keratitis-corneal cross-linking (PACK-CXL) stabilizes the corneal stroma and eliminates microorganisms. Numerous PACK-CXL protocols, using different energy sources and chromophores, have been applied in preclinical studies, including live animal studies, with various experimental designs and endpoints. So far, a systematic mapping of the applied protocols and consistency across studies seems lacking but is essential to guide future research.

Methods: The scoping review protocol was in line with the JBI Manual for Evidence Synthesis. Electronic databases were searched (Embase, MEDLINE, Scopus, Web of Science) to identify eligible records, followed by a two-step selection process (title and abstract screening, full text screening) for record inclusion. We extracted information on (1) different PACK-CXL protocol characteristics; (2) infectious pathogens tested; (3) study designs and experimental settings; and (4) endpoints used to determine antimicrobial and tissue stabilizing effects. The information was charted in frequency maps.

Results: The searches yielded 3654 unique records, 233 of which met the inclusion criteria. With 103 heterogeneous endpoints, the researchers investigated a wide range of PACK-CXL protocols. The tested microorganisms reflected pathogens commonly associated with infectious keratitis. Bacterial solutions and infectious keratitis rabbit models were the most widely used models to study the antimicrobial effects of PACK-CXL.

Conclusions: If preclinical PACK-CXL studies are to guide future translational research, further cross-disciplinary efforts are needed to establish, promote, and facilitate acceptance of common endpoints relevant to PACK-CXL.

Translational Relevance: Systematic mapping of PACK-CXL protocols in preclinical studies guides future translational research.

Background
Infectious keratitis is an inflammatory disease of the cornea, which threatens vision and requires immediate treatment. Various microorganisms are involved in the pathology of infectious keratitis, such as bacteria, fungi, amoebas, and viruses. The inflammatory response to an infection activates proteolytic enzymes that destroy collagen in the corneal stroma, which increases lesion depth and size.15 Therefore the rapid initiation of a treatment that stops corneal tissue destruction and eliminates pathogens is essential for treatment success. 
Predominant causes of infectious keratitis are often host-specific and, for both humans and animals, depend on geographic location and exposure to risk factors. Fungal keratitis is most prevalent in tropical and subtropical climates6 and may harm more than a million people annually.7 Bacterial infections are more prevalent in established economies,8,9 where they lead to an incidence of six to 40 cases per 100,000 people/year.6,10 
Studies in companion animals revealed that dogs and horses suffer from both bacterial and fungal keratitis, with a reported prevalence of 0.8% for infectious keratitis in dogs.4,1116 This number will likely increase in the future because of the increasing popularity of brachycephalic (short-nosed) dog breeds with compromised ocular anatomy. Brachycephalic dogs have an odds ratio of 6 for developing infectious keratitis, compared to typical mesocephalic or dolichocephalic dogs.11,17 
Drug resistance among pathogens threatens infectious keratitis treatment success in humans and animals. The World Health Organization has declared antimicrobial resistance one of the major public health threats of the twenty-first century.18 Because rapid treatment initiation before culture and sensitivity test result availability is crucial for treatment success, the selected antibiotics typically have a broad spectrum to cover the most likely bacterial pathogens while considering existing antibiotic resistances.19 Therefore fluoroquinolones are often the basis of first-line treatment while awaiting culture and sensitivity test results. Unfortunately, resistance to fluoroquinolones is increasingly common among ocular bacterial strains.10,2022 
Corneal cross-linking (CXL) was first introduced as a treatment for keratoconus (progressive thinning of the cornea), with a specific CXL setting known as the Dresden protocol. In this protocol, a 0.1% riboflavin (chromophore) solution is first applied to the de-epithelialized cornea for 30 minutes. Second, the cornea is exposed to ultraviolet A irradiation (energy source) for 30 minutes at 3 mW, delivering an energy dose (fluence) of 5.4 J/cm2. CXL gained interest as a treatment for infectious keratitis because of two properties: its stabilizing effect on the corneal stroma (mostly by improvement of corneal stromal resistance to enzymatic digestion) and the elimination of pathogens.23 
CXL is a potential treatment alternative for infectious keratitis in human and veterinary patients with a mechanism of action independent from antibiotics. In 2008, the routine Dresden CXL protocol was effectively tested for the first time in humans with infectious keratitis.24 Initially, only infectious keratitis patients refractory to medical therapy were treated. In 2013, the name Photoactivated Chromophore for Keratitis-Corneal Cross-linking (PACK-CXL) was adopted at the 9th CXL Congress in Dublin. This name change was implemented to distinguish the use of CXL for the treatment of keratoconus from the use of PACK-CXL for the treatment of infectious keratitis and to make room for the use of other, potentially more efficient, chromophores and energy sources.25 In 2014, the first studies that described the use of PACK-CXL in companion animals were published.2628 
Clinically used PACK-CXL protocol settings are being adjusted, because the Dresden CXL protocol may be insufficient for the treatment of infectious keratitis.25 A number of systematic reviews that summarize completed clinical trials on PACK-CXL efficiency have been published.2932 These reviews highlight the dominance of the Dresden protocol. However, a tendency towards treatment in early disease stages and a preference towards the use of accelerated, high fluence protocols is noticeable.3339 
PACK-CXL is intensively tested in in vitro and in vivo laboratory and clinical animal studies, to define the best PACK-CXL settings against various pathogens and at different infectious keratitis stages. So far, a systematic mapping of the PACK-CXL protocols applied in preclinical studies that could guide future translational research is lacking. The aim of this scoping review is to comprehensively map preclinical PACK-CXL studies to identify explored protocols and pathogens and the methods and endpoints used to determine the antimicrobial and tissue stabilizing effects of PACK-CXL. 
Methods
Registration
The full study protocol is available at Open Science Framework at www.osf.io/ypxjs/
Protocol Design
The scoping review protocol was drafted in line with the JBI Manual for Evidence Synthesis.40 It was reported according to PRISMA-ScR41 (checklist available at www.osf.io/ypxjs/). The framework consists of five stages: (1) identification of the research questions and objectives; (2) identification of relevant studies; (3) selection of studies; (4) extraction and charting of data; (5) collation, summation, and reporting of results. A complete review protocol was released in advance: www.osf.io/ypxjs/
Identification of the Research Questions and Objectives
This review aims to comprehensively map information available in the existing literature on PACK-CXL preclinical studies, which includes in vitro studies and in vivo laboratory and clinical animal studies. To meet the research objectives, the following research questions (RQ) were addressed: 
  • RQ1: What PACK-CXL protocol modifications have been investigated? Modifications in the following protocol elements were considered: chromophore type, concentration and carrier, energy source, wavelength, energy intensity level and delivery time, and fluence (the total amount of energy delivered).
  • RQ2: Which pathogens were tested?
  • RQ3: Which types of study design and experimental setting were used in in vitro studies and in preclinical animal studies?
  • RQ4: Which endpoints were used to assess PACK-CXL-relevant treatment effects?
Identification of Relevant Studies
First, a literature search limited to one online database (Google Scholar) was performed to gain knowledge regarding relevant search terms. After analyzing the index terms used to describe the retrieved articles and the words used in the article titles and abstract texts, keywords to be used in the final literature search were identified. An experienced librarian then established the final search strategy and performed the literature search across five databases: Embase, Cochrane, MEDLINE, Scopus, and Web of Science. The full electronic search strategy for all databases is available at the online repository www.osf.io/ypxjs/. The initial search was performed in December 2020 and updated in December 2023. 
Selection of Studies
Only peer-reviewed primary research publications and published conference abstracts from scientific ophthalmology or vision science meetings were eligible for inclusion into the scoping review. The described work needed to involve the use of animals with spontaneous or experimentally induced infectious keratitis, or be laboratory-based work using bacteria, fungi, or amoebas. Furthermore, the records needed to include at least one endpoint relevant to antimicrobial or tissue-stabilizing effects of PACK-CXL. Language restrictions were not imposed. Records based on non-photoactivated CXL and records published before the year 2000 were excluded from the review. The second exclusion criterium was chosen because CXL had not been investigated as a treatment for infectious keratitis before the year 2000. Endpoints related to the biomechanical effects of CXL that were investigated in records included in the review were not considered because such endpoints are mainly relevant for the treatment of keratoconus and not infectious keratitis. 
Two reviewers screened the records’ title and abstract list and applied the eligibility criteria in parallel. Three questions were asked to establish record eligibility, and records were included if the answer to all three questions was “yes.” 
  • Does this study involve the use of an intervention or treatment method based on the combination of a chromophore (photosensitive agent) and energy source?
  • Are any of the study findings relevant to PACK-CXL treatment efficacy in terms of antimicrobial activity or tissue stabilization (tissue resistance to enzymatic digestion, structural changes, or treatment depth)?
  • Can this study be considered preclinical (in vitro or in vivo clinical or laboratory-based animal study)?
In case of disagreement, a third reviewer was included in the decision-making process and a consensus was sought. EndNote software42 was used to generate publication lists and a Google Sheets document was used to store the decisions regarding record inclusion or exclusion. The reliability of agreement among the three reviewers was checked with Fleiss kappa. 
Extraction and Charting of Data
In scoping reviews, the data extraction process is referred to as “data charting.” First, animal reporting guidelines (the Association for Research in Vision and Ophthalmology Statement for the Use of Animals in Ophthalmic and Vision Research43 and ARRIVE guidelines44) were searched to identify items of relevance for this scoping review. Extracted items were then collected in seven blocks: (1) publication-related information (year, language, open source, preregistration, funding source), (2) research question, (3) PACK-CXL protocol characteristics, (4) pathogens, (5) study design/experimental settings, (6) animal model, and (7) measured endpoints. The data extraction forms are provided in the project protocol (www.osf.io/ypxjs/). Charting of the data was performed in Covidence software.45 
One reviewer extracted data from all eligible records. In case of doubt, the reviewer discussed items with a second reviewer to reach a consensus. Data from 10% of the records was extracted in parallel by another reviewer, to test the extraction forms. 
Collation, Summation, and Reporting of Results
All results were presented separately for the four study types encountered: in vitro/ex vivo (laboratory based), in vivo (animal laboratory experiments), in vivo (animal clinical studies), and records that combined both in vitro and in vivo methodology in one publication (Fig. 1). A PRISMA flow diagram of record eligibility screening is supplied in Figure 2. Further publication-relevant information is presented in Supplementary Figure S1. The full list of included records is available on our project repository (www.osf.io/ypxjs/) and as Supplementary Table S1. An attempt was made to assess whether the PACK-CXL nomenclature was harmonized in the field since 2013, the year in which the name PACK-CXL was adopted by opinion leaders in the field.25 The frequency was mapped with which the term PACK-CXL, or an equivalent term indicating a photochemical intervention or treatment method, was used in article titles released before and since 2013 (Fig. 3). Information collected under research questions RQ 1 through 3 is summarized in Tables 1 through 3 and in Figure 4
Figure 1.
 
Data extraction and classification process. The process contained four stages: 1. Record classification into one of four study types; 2. Record classification into one of seven application domains; 3. Record classification into one of six PACK-CXL-relevant effect categories. Here, more than one effect category was possible per record and application domain; 4. Grouping of recorded endpoints used to measure PACK-CXL-relevant effects under new common names, and according to study type, application domain and PACK-CXL-relevant effect category.
Figure 1.
 
Data extraction and classification process. The process contained four stages: 1. Record classification into one of four study types; 2. Record classification into one of seven application domains; 3. Record classification into one of six PACK-CXL-relevant effect categories. Here, more than one effect category was possible per record and application domain; 4. Grouping of recorded endpoints used to measure PACK-CXL-relevant effects under new common names, and according to study type, application domain and PACK-CXL-relevant effect category.
Figure 2.
 
PRISMA flow diagram of record eligibility screening.
Figure 2.
 
PRISMA flow diagram of record eligibility screening.
Figure 3.
 
Original terms used in record titles to describe investigated interventions. The original terms describing the investigated interventions were extracted from the titles of records that investigated antimicrobial CXL efficacy or CXL effectiveness/efficacy against infectious keratitis. (A) terms in records published before 2013. (B) Terms in records published in or after the year 2013. “No”: indicates that the intervention was not named in the record title. *Photodynamic = Photodynamic antimicrobial/inactivation/elimination/eradication; *Photochemical = Photochemical activation/eradication/therapy/cross-linking.
Figure 3.
 
Original terms used in record titles to describe investigated interventions. The original terms describing the investigated interventions were extracted from the titles of records that investigated antimicrobial CXL efficacy or CXL effectiveness/efficacy against infectious keratitis. (A) terms in records published before 2013. (B) Terms in records published in or after the year 2013. “No”: indicates that the intervention was not named in the record title. *Photodynamic = Photodynamic antimicrobial/inactivation/elimination/eradication; *Photochemical = Photochemical activation/eradication/therapy/cross-linking.
Figure 4.
 
Pathogens tested in PACK-CXL studies (RQ 2). The pathogen species used to investigate PACK-CXL-relevant effects in three study types are presented: (A) in vitro/ex vivo; (B) in vivo (laboratory); and (C) studies combining both in vitro and in vivo models. Studies including clinical animal patients were excluded from the graph, since pathogen detection largely depends on the culture methodology in such studies. Studies involving bacteria, fungi and protozoa are presented in green, orange, and purple, respectively. Prot, protozoa.
Figure 4.
 
Pathogens tested in PACK-CXL studies (RQ 2). The pathogen species used to investigate PACK-CXL-relevant effects in three study types are presented: (A) in vitro/ex vivo; (B) in vivo (laboratory); and (C) studies combining both in vitro and in vivo models. Studies including clinical animal patients were excluded from the graph, since pathogen detection largely depends on the culture methodology in such studies. Studies involving bacteria, fungi and protozoa are presented in green, orange, and purple, respectively. Prot, protozoa.
RQ4: Endpoints Used To Assess PACK-CXL Treatment Effects
Special emphasis was placed on mapping the recorded endpoints that were used to assess PACK-CXL-relevant treatment effects in the studies. To make mapping possible, domains of specific (PACK-)CXL study applications were created, based on the study purpose as described by the article or conference abstract authors. The following domains were created: amoebal infections (ocular and others), bacterial keratitis, fungal infections (ocular and others), infectious and other corneal thinning disorders, keratoconus/ectatic disorders, CXL-induced long-term corneal changes, other applications (Boston keratoprosthesis, bullous keratopathy, and sterile melting/keratoconus). The endpoints were systematically mapped through frequency maps, which were stratified by study type (in vitro/ex vivo; in vivo [laboratory]; in vivo [clinical]; combined [in vitro and in vivo]) and study application domain. Figure 1 illustrates this process. Figure 5 and Supplementary Figures S2 and S3 illustrate the results. 
Figure 5.
 
Endpoints used to assess PACK-CXL-relevant effects (RQ 4): general and antimicrobial effect-specific overview. (A) Bar plots representing the frequency of use of the various endpoint categories per PACK-CXL application domain. The domain “Other applications” includes bullous keratopathy, Boston keratoplasty, and sterile melting/keratoconus. The domains “amoebal infections” and “fungal infections” included isolates from ocular (infectious keratitis) and/or non-ocular infections. The endpoints used for the assessment of the antimicrobial effects of PACK-CXL are indicated with an interrupted red rectangle and are presented in more detail in Figure 5B. (B) Overview of endpoints (common names under which the original endpoint term definitions that were extracted from the eligible records were grouped) used to measure the antimicrobial effects of PACK-CXL in studies assigned to the amoebal, bacterial, and fungal infection domains. (C) The terminology used in the original records to describe the endpoints grouped under the same common endpoint name “bacterial elimination [CFU or CFU/mL].”
Figure 5.
 
Endpoints used to assess PACK-CXL-relevant effects (RQ 4): general and antimicrobial effect-specific overview. (A) Bar plots representing the frequency of use of the various endpoint categories per PACK-CXL application domain. The domain “Other applications” includes bullous keratopathy, Boston keratoplasty, and sterile melting/keratoconus. The domains “amoebal infections” and “fungal infections” included isolates from ocular (infectious keratitis) and/or non-ocular infections. The endpoints used for the assessment of the antimicrobial effects of PACK-CXL are indicated with an interrupted red rectangle and are presented in more detail in Figure 5B. (B) Overview of endpoints (common names under which the original endpoint term definitions that were extracted from the eligible records were grouped) used to measure the antimicrobial effects of PACK-CXL in studies assigned to the amoebal, bacterial, and fungal infection domains. (C) The terminology used in the original records to describe the endpoints grouped under the same common endpoint name “bacterial elimination [CFU or CFU/mL].”
It is important to note that this approach describes the popularity of the used endpoints rather than the strength of evidence. The latter would be more appropriately described by measures of effect size accompanied by assessment of bias. However, because of inconsistent reporting and interpretation of endpoints, reliable mapping of effect sizes was not feasible. 
For ease of interpretation, endpoints were organized into six categories representing the investigated PACK-CXL-relevant effects (Fig. 1): antimicrobial, resistance to enzymatic tissue degradation, treatment penetration depth, cellular/morphological response, effectiveness/efficacy in infectious keratitis, and other effects. Each record was classified into only one study type and one application domain, but more than one PACK-CXL–relevant effect could be investigated within the same application domain. 
We then grouped the recorded endpoints according to study type, application domain and PACK-CXL-relevant effect category, giving them new common names, based on the measurement method and SI units used (example of a new common name: “bacterial elimination [CFU or CFU/ml]” in Fig. 5C). All new “common” names together with their definitions and examples of original endpoint terms extracted from the eligible records, are available in the online repository (www.osf.io/ypxjs/). 
Deviations From the Original Protocol
The results of the literature search in the electronic databases were considered sufficient, and 68 abstracts were identified. As a result of the large number of abstracts identified in the literature search, we decided to not manually scan the abstracts from the following conferences, as was stated in the prereleased complete study protocol available online (www.osf.io/ypxjs/): CXL Experts’ Meeting, European Society of Cataract and Refractive Surgeons (ESCRS), Association for Research in Vision and Ophthalmology (ARVO), American Academy of Ophthalmology (AAO), European College of Veterinary Ophthalmologists (ECVO). The authors consider this decision justified because published articles have undergone peer review and many abstracts might later have been published as peer-reviewed publications. 
Results
Characteristics of Included Studies
Our search yielded 3654 unique records, 288 of which were deemed eligible for full-text review. Of these, 233 records were eligible for inclusion (in vitro/ex vivo: n = 137; in vivo [laboratory]: n = 72; in vivo [clinical]: n = 9; combined [in vitro and in vivo]: n = 15), composed of 68 conference abstracts and 165 full text publications (Fig. 2, Supplementary Fig. S1). The list of included records is available on our project repository (www.osf.io/ypxjs/) and as Supplementary Table S1. The number of included records published per year and publication-relevant information such as: language, origin of the research collaboration and financial support are presented per study type as Supplementary Figure S1
The initial agreement between reviewers at the abstract eligibility screening stage was poor (three raters, Fleiss’ κ = 0.20), but a consensus was reached through discussions. Sixty-two records with a main research focus on keratoconus/ectatic disorders were included, because the answer to all three eligibility criteria-related questions was “yes” (Methods section: Selection of studies), and the investigated CXL effects (cellular/morphological changes; resistance to enzymatic tissue degradation; treatment penetration depth; other effects) were therefore deemed relevant for infectious keratitis treatment. 
Figure 3 illustrates that a unified nomenclature to identify the use of CXL for the treatment of infectious keratitis has not been adopted across the field, either before or since 2013. Across records, the most popular terms included “Photodynamic Therapy” (n = 23), and phrases containing the words “Riboflavin with/and UVA” (n = 18), and “Corneal Cross-Linking” (n = 11). “Photoactivated” or “PACK-CXL” were used in the titles of 15 records. 
RQ1: What PACK-CXL Protocol Modifications Have Been Investigated?
Nineteen distinct chromophores were investigated in the in vitro/ex vivo studies. This number was decreased to seven distinct chromophores that were investigated in the in vivo studies (Table 1). Riboflavin was the only chromophore used in clinical animal studies. Riboflavin received the greatest attention across all study types, with varying riboflavin concentrations, additives, and CXL fluences, and irradiation intensities investigated. Rose Bengal was the second most popular chromophore. Information regarding PACK-CXL protocol parameters was missing in five studies and was incomplete in many other records. For example, fluence was frequently expressed as total energy level without specified irradiation intensity or vice versa. We have not presented information regarding chromophore replacement during the irradiation phase because this information was missing in most studies. Various SI units were used in the context of chromophore concentration, total fluence, and irradiation intensities. 
Table 1.
 
Investigated PACK-CXL Protocol Modifications (RQ 1)
Table 1.
 
Investigated PACK-CXL Protocol Modifications (RQ 1)
RQ2: Which Pathogens Were Tested?
Pathogens were used in a total of 133 records (42 abstracts and 91 full texts), with bacteria being the most commonly used (n = 69). The majority of the pathogen strains that were used originated from clinical cases of keratitis (Table 2). Also, the pathogen species that were most commonly used correspond to the pathogens that are most frequently encountered in clinical patients (Fig. 4).1214,16,4648 Unfortunately, information on pathogen origin, concentration/load, or antimicrobial resistance was missing from many, even full text, records. For example, pathogen origin was not listed in 25 of 91 full text records (in vitro/ex vivo [n = 6/53], in vivo laboratory [n = 12/26], combined [in vitro and in vivo] studies [n = 7/12]), and information specifying pathogen concentration/load was missing from 16 of 91 full text records (in vitro/ex vivo [n = 10/53], in vivo laboratory [n = 4/26], combined [in vitro and in vivo] studies [n = 2/12]). Furthermore, information regarding antimicrobial resistance was missing from 55 of 78 full text records using wild-type pathogens. Finally, a variety of units was used to specify pathogen concentration (e.g., McFarland standard [McF], colony forming units [CFU], CFU/mL, CFU/0.1 mL, CFU/50 mL, cells/mL). 
Table 2.
 
Origin of Pathogens Used in PACK-CXL Studies (RQ 2)
Table 2.
 
Origin of Pathogens Used in PACK-CXL Studies (RQ 2)
RQ3: Which Types of Study Design and Experimental Setting Were Used?
A wide range of experimental models was used to investigate PACK-CXL-relevant effects. The most commonly used experimental model in the in vitro/ex vivo studies was a PACK-CXL irradiated pathogen suspension (Table 3). Here, the suspensions were placed in plates with different well sizes (12-, 24-, or 96-well plates), with some authors providing additional information and recording the suspension column height (200–400 µm). Further in vitro/ex vivo study models ranged from cell culture to culturing of whole globes. Rabbits were the most widely used animal species in in vivo laboratory experiments. 
Table 3.
 
Models Used in PACK-CXL Studies (RQ 3)
Table 3.
 
Models Used in PACK-CXL Studies (RQ 3)
Various methods were used to create infectious keratitis animal models in 43 records (full text: n = 34, abstract: n = 9). Intrastromal injection of a pathogen suspension into the cornea (n = 10) and corneal epithelium grid/scraping/abrasion, followed by topical application of pathogen solution (n = 10) were the most commonly used techniques (Table 4). Information on the success rate of inducing infectious keratitis in the animal model was provided in six of the 34 full text records. It was successful in 100% of the animals used in four studies4952 and in 85.7% and 87.5% in two other studies, respectively.53,54 The success rate of inducing infectious keratitis in the animal model was not provided in the remaining 28 records. The duration between infection and treatment in both fungal and bacterial keratitis animal models ranged from 12 hours to seven days, with the majority of PACK-CXL interventions applied 72 hours after infection (n = 7). Information about the time between infection and treatment was missing in nine full text records. 
Table 4.
 
Methods Used to Create Infectious Keratitis (Bacterial or Fungal) Animal Models (RQ 3)
Table 4.
 
Methods Used to Create Infectious Keratitis (Bacterial or Fungal) Animal Models (RQ 3)
In vivo studies involving clinical client-owned animal patients with suspected infectious keratitis included dogs, cats, and horses. The following species-appropriate details of animals used in the in vivo studies should be reported according to item 8 (Experimental animals) from the ARRIVE Essential 10 guidelines (the ARRIVE guidelines 2.0: author checklist55): species, strain, sex, age, and, if relevant, weight. However, information regarding sex, age, and weight of the animals was missing in 32, 50, and 21 records, respectively, out of 69 full text records in which laboratory animals were used (full text in vivo [n = 56]; full text combined in vivo and in vitro [n = 13]). 
Furthermore, item 16 from the ARRIVE Recommended Set guidelines,55 suggests including a description of any interventions or steps taken in the experimental protocols to reduce pain, suffering and distress in study animals. A description of pain management during the course of the infectious keratitis was provided in two of 34 full text records involving an animal model of induced infectious keratitis, including daily intraperitoneal 4 mg/kg carprofen injections and 0.5% proparacaine hydrochloride eye drops three times daily.53,56 No information regarding analgesia was provided in 12 of 34 full text records involving an animal model of induced infectious keratitis. According to the information provided in the remaining 20 of 34 records, pain control (systemic analgesia n = 4, topical and systemic analgesia n = 16) was provided only during the “wounding” or PACK-CXL procedures. 
RQ4: Which Endpoints Were Used To Assess PACK-CXL-Relevant Treatment Effects?
“Bacterial keratitis” was the largest application domain of the CXL studies that were included into the scoping review (n = 70), with 42 in vitro/ex vivo and 16 in vivo study designs. “Keratoconus/ectatic diseases” (n = 62) and “fungal infections” (n = 39) were the second and third largest application domains, with the majority of records presenting in vitro/ex vivo research results (n = 33 and n =21, respectively) (Fig. 5). 
“Antimicrobial effects” and “effectiveness/efficacy against infectious keratitis” were the most broadly researched PACK-CXL-relevant effect categories in the records in which infectious conditions were investigated (included in the application domains “amoebal infections,” “bacterial keratitis,” and “fungal infections”) (Fig. 5A). 
One hundred three unique endpoint names relevant to PACK-CXL effects were recorded. Figure 5B represents the heterogeneity of endpoints used in studies focused on determining the antimicrobial effects of PACK-CXL in the application domains “amoebal infections,” “bacterial keratitis,” and “fungal infections.” “Acanthamoeba count,” “bacterial elimination [CFU or CFU/m”]” and “fungal growth inhibition” were the most frequently used endpoints in these application domains (Fig. 5B). 
Infectious keratitis scoring was the most frequently used endpoint to assess PACK-CXL treatment “effectiveness/efficacy in infectious keratitis” in amoebal, bacterial, and fungal infection studies (Supplementary Fig. S3). Table 5 presents the existing heterogeneity in infectious keratitis scoring systems across 29 full text records (in vivo [laboratory] studies n = 18; in vivo [animal clinical] studies n = 3; Combined [in vitro and in vivo] studies n = 8), especially regarding the explanation of definitions and elements used in the scoring systems. “Corneal opacity/clouding” was used the most consistently across all scoring systems and was part of the scoring system in 16 out of 29 records. Detailed information was often missing from the records, precluding the use of the same scoring systems in future studies with similar applications. For example, some record methods stated that ulcer size was measured, but failed to define the criteria used for ulcer size grading which was how the data was presented in the results section. In other records, these measurements were not presented at all in the results section. Additionally, an explanation of the choice of elements included in the infectious keratitis scoring system that was used in the study, and its relevance to clinical cases, was typically missing from the records. 
Table 5.
 
Elements Included Into Infectious Keratitis Scoring Systems in 16 Full-Text Records Investigating PACK-CXL Treatment Effectiveness/Efficacy in Infectious Keratitis
Table 5.
 
Elements Included Into Infectious Keratitis Scoring Systems in 16 Full-Text Records Investigating PACK-CXL Treatment Effectiveness/Efficacy in Infectious Keratitis
A large heterogeneity was observed regarding the definition of endpoints used to measure the antimicrobial effects of PACK-CXL (Fig. 5B), including the methods of quantification, measurement timepoints and SI units used in the original records. The same level of heterogeneity was observed for the other investigated PACK-CXL-relevant effect endpoint categories (resistance to enzymatic tissue degradation, treatment penetration depth, cellular/morphological response, effectiveness/efficacy in infectious keratitis, other effects), which were mapped in Supplementary Figure S3
Discussion
This scoping review demonstrated that preclinical research into the antimicrobial and tissue stabilizing effects of PACK-CXL is a large and diverse field. Many PACK-CXL protocol modifications are being explored towards the elimination of clinically relevant infectious agents in both in vitro/ex vivo and in vivo studies. Two major problems were observed that preclude the conduction of a meta-analysis, evaluation of the strength of evidence, and the subsequent translation of existing research results to clinical practice. The first major problem is widespread shortcomings in the reporting of research designs and results, which can only partially be explained by the inclusion of both conference abstracts and full text manuscripts in the review. The second major problem is the large heterogeneity of experimental methods and the lack of consensus on the common most relevant endpoints for infectious keratitis. Those shortcomings slow down advancement in the field of PACK-CXL research and lead to an ineffective use of resources. 
A scoping review is a form of knowledge synthesis that addresses an exploratory research question aimed at mapping key concepts, types of evidence, and research gaps related to a defined area or field by systematically searching, selecting, and synthesizing existing knowledge.9193 A scoping review does not analyze data to answer a narrow research question. Instead, it provides a broad overview of what has been published in a field.91 Arksey and O'Malley92 proposed the first framework for scoping reviews, which was further developed by various authors.40,91,94,95 A summary of the available methodology was recently published through the Joanna Briggs Institute.96 In addition, the PRISMA Extension for Scoping Reviews (PRISMA-ScR) provides an item list to improve the reporting quality of scoping reviews.41 
Despite its rigor, this review also has several notable limitations. For example, the inclusion of records without a primary focus on infectious keratitis largely depended on the reviewers’ judgment of the relevance of these studies to infectious keratitis treatment. The authors attempted to reduce personal bias through the use of three questions to determine record eligibility for inclusion (see Methods section, Selection of studies). The exclusion of endpoints only relevant to the biomechanical effects of CXL treatment, and thus deemed to be relevant mainly for the treatment of keratoconus and other ectatic disorders, and not infectious keratitis, also depended on the reviewers’ judgment. The grouping of PACK-CXL studies into application domains and effect categories, and the grouping of original endpoint descriptions under common endpoint names, may also have been influenced by personal decisions. The authors therefore acknowledge that other choices regarding grouping would have been possible. Additionally, one person was responsible for data extraction. Finally, the results were presented at an overview level, and many interesting subanalyses were not conducted. The possibilities for data analysis on this and similar datasets are therefore far from exhausted, and the authors hope that this work will inspire and enable a deeper investigation into the topics discussed here. 
The authors acknowledge that the reporting of study design and results is a complex undertaking and that some items can easily be overlooked. However, when reporting guidelines are readily available, errors may be avoided. Based on the review, the authors have identified four areas relevant to study reporting that could be improved to enable knowledge synthesis and to secure the reproducibility of scientific studies or results. These areas are presented below. 
  • 1) None of the included records fully adhere to the selected items from the ARRIVE guidelines,44,55 which provide an easy-to-use reporting system with checklists for animal experimentation reporting. These guidelines are available online and should be considered as a minimum standard for study reporting. In the context of reproducibility of infectious keratitis animal models, the authors further suggest the inclusion of the following information: the pathogen load (total amount, concentration) used to induce disease, the method of wounding, and the time between induction of infection and treatment start.
  • 2) Treatment and maintenance of experimental animals in accordance with the ARVO Statement was claimed in most records.43 However, especially in the context of infectious keratitis, a painful disease, it is unsettling that the information provided on pain control strategies was incomplete in many records. Information on pain control was not supplied in 12 of 34 full text records involving an animal model of induced infectious keratitis. According to the information provided in 20 of 34 full text records, pain control was provided only during the “wounding” or PACK-CXL procedure. Four records described a three-week follow-up period during which some animals developed corneal perforations. Additionally, in two full-text records in the “keratoconus/ectatic disorders” domain, topical antibiotics were listed as pain control medications. The authors assume that the fact that pain control information was missing from many records means that the information was not provided and not that pain control itself was not provided during the observation periods after the induction of corneal infections and treatment with PACK-CXL. However, authors and reviewers should be aware of existing reporting standards regarding pain control strategies and pain scoring systems in experimental animals, which can prevent omissions of the information supplied in published records.
  • 3) Details regarding the intervention (PACK-CXL protocol) were insufficiently reported. The biggest gaps were observed in the reporting of chromophore saturation time, total dose of delivered energy (fluence), and irradiation duration or intensity. Chromophore concentrations were reported using various SI units, which complicates overall treatment effect quantification across different protocols used. Information detailing PACK-CXL protocols used is crucial for the knowledge synthesis that is necessary to direct translational research.
  • 4) Despite the adoption of the term PACK-CXL in 2013 by clinical opinion leaders in the field, many synonyms and alternative terms continue to be used in publication titles and abstracts, which may hinder knowledge synthesis by preventing relevant publications to easily be identified. Since PACK-CXL is an abbreviation and the full name is long, it may be considered an unpractical name for usage in titles.
Apart from incomplete study reporting, the large heterogeneity of reported endpoints is another problem precluding quantitative knowledge synthesis. It was difficult to extract the outcomes of interest and their corresponding endpoint measurements from some of these published records. Ting et al.30 observed that clinical trials and case series on PACK-CXL treatment of human patients with infectious keratitis suffered from a similar heterogeneity in outcome reporting. The Core Outcome Measures in Effectiveness Trials (COMET) initiative97 defines a core outcome set as an agreed standardized set of outcomes that should be measured and reported, as a minimum, in specific health or healthcare domains. The authors believe that the establishment of clinically relevant core outcome sets for infectious keratitis, which would reflect different PACK-CXL treatment effects, would address the large reported endpoint heterogeneity in PACK-CXL-related research and thus benefit the field of PACK-CXL. 
An interdisciplinary approach involving clinicians, epidemiologists, and basic scientists would be needed to define core outcome sets for preclinical and clinical PACK-CXL studies. With such core outcome sets in place, authors that aim to publish in the field of PACK-CXL would be expected to have collected and reported the relevant core outcome sets, without having to restrict their outcome measurements solely to the core set. This would facilitate the comparison of results while allowing researchers to continue exploring additional outcomes as well. 
The semiquantitative preclinical ocular toxicology scoring (SPOTS) system is an established scoring system that is available to be adapted and used for preclinical in vivo infectious keratitis studies.98 This system provides scoring criteria for the anterior and posterior segment, and focuses on the standardization of examination procedures and scoring criteria for corneal and anterior segment pathology. Adaptation and adoption of the SPOTS system could limit discrepancies between currently used keratitis scoring systems, which were illustrated in Table 5
Assessing risk of bias was not part of this scoping review because this is typically conducted in systematic reviews. However, the authors point out that nonsignificant results were reported in only three of the 233 records included. It is therefore likely that a bias toward the publication of significant results is present in the preclinical PACK-CXL research field.99,100 
In conclusion, a quantitative knowledge synthesis of the antimicrobial and tissue stabilizing effects of PACK-CXL, as in a meta-analysis or systematic review, is impossible despite the wide range of PACK-CXL protocol modifications that have been explored in in vitro/ex vivo and in vivo preclinical studies. Incomplete reporting and the large heterogeneity of reported endpoints are the two major problems that slow down advancement in the field. Harmonization through the establishment of core outcome sets is urgently needed. 
Acknowledgments
Disclosure: M.E. Kowalska, None; S.A. Pot, None; S. Hartnack, None 
References
Stiles J . Ocular infections. In: Greene CE, ed. Infectious Diseases of the Dog and Cat. St. Louis: Elsevier/Saunders; 2012: 1058–1077.
Ledbetter EC, Gilger BC. Diseases and surgery of the canine cornea and sclera. In: Gelatt KN, Gilger BC, Kern TJ, eds. Veterinary ophthalmology. Ames, IA: Wiley-Blackwell; 2013: 976–1049.
Maggs DJ . Cornea and Sclera. In: Maggs DJ, Miller P, Dacvo DV, Ofri R, eds. Slatter's Fundamentals of Veterinary Ophthalmology. St. Louis: Elsevier; 2013: 184–219.
Ollivier FJ . Bacterial corneal diseases in dogs and cats. Clin Tech Small Anim Pract. 2003; 18: 193–198. [CrossRef] [PubMed]
Livingston ET, Mursalin MH, Callegan MC. A pyrrhic victory: the PMN response to ocular bacterial infections. Microorganisms. 2019; 7(11): 537. [CrossRef] [PubMed]
Ung L, Bispo PJ, Shanbhag SS, Gilmore MS, Chodosh J. The persistent dilemma of microbial keratitis: Global burden, diagnosis, and antimicrobial resistance. Surv Ophthalmol. 2019; 64: 255–271. [CrossRef] [PubMed]
Brown L, Leck AK, Gichangi M, Burton MJ, Denning DW. The global incidence and diagnosis of fungal keratitis. Lancet Infect Dis. 2021; 21(3): e49–e57. [CrossRef] [PubMed]
Bourcier T, Thomas F, Borderie V, Chaumeil C, Laroche L. Bacterial keratitis: predisposing factors, clinical and microbiological review of 300 cases. Br J Ophthalmol. 2003; 87: 834–838. [CrossRef] [PubMed]
Green M, Apel A, Stapleton F. Risk factors and causative organisms in microbial keratitis. Cornea. 2008; 27: 22–27. [CrossRef] [PubMed]
Ting DSJ, Ho CS, Cairns J, et al. 12-year analysis of incidence, microbiological profiles and in vitro antimicrobial susceptibility of infectious keratitis: the Nottingham Infectious Keratitis Study. Br J Ophthalmol. 2021; 105: 328–333. [CrossRef] [PubMed]
O'Neill DG, Lee MM, Brodbelt DC, Church DB, Sanchez RF. Corneal ulcerative disease in dogs under primary veterinary care in England: epidemiology and clinical management. Canine Genet Epidemiol. 2017; 4: 5. [CrossRef] [PubMed]
Lin CT, Petersen-Jones SM. Antibiotic susceptibility of bacterial isolates from corneal ulcers of dogs in Taiwan. J Small Anim Pract. 2007; 48: 271–274. [CrossRef] [PubMed]
Prado MR, Rocha MF, Brito ÉH, et al. Survey of bacterial microorganisms in the conjunctival sac of clinically normal dogs and dogs with ulcerative keratitis in Fortaleza, Ceara, Brazil. Vet Ophthalmol. 2005; 8: 33–37. [CrossRef] [PubMed]
Wang L, Pan Q, Zhang L, Xue Q, Cui J, Qi C. Investigation of bacterial microorganisms in the conjunctival sac of clinically normal dogs and dogs with ulcerative keratitis in Beijing, China. Vet Ophthalmol. 2008; 11: 145–149. [CrossRef] [PubMed]
Sansom J, Featherstone H, Barnett KC. Keratomycosis in six horses in the United Kingdom. Vet Rec. 2005; 156: 13–17. [CrossRef] [PubMed]
Suter A, Voelter K, Hartnack S, Spiess BM, Pot SA. Septic keratitis in dogs, cats, and horses in Switzerland: associated bacteria and antibiotic susceptibility. Vet Ophthalmol. 2018; 21(1): 66–75. [CrossRef] [PubMed]
Packer RM, Hendricks A, Burn CC. Impact of facial conformation on canine health: corneal ulceration. PLoS One. 2015; 10(5): e0123827. [CrossRef] [PubMed]
World Health Organization. Antimicrobial resistance: global report on surveillance. Geneva: World Health Organization. 2014.
McDonald EM, Ram FS, Patel DV, McGhee CN. Topical antibiotics for the management of bacterial keratitis: an evidence-based review of high quality randomised controlled trials. Br J Ophthalmol. 2014; 98: 1470–1477. [CrossRef] [PubMed]
Ni N, Nam EM, Hammersmith KM, et al. Seasonal, geographic, and antimicrobial resistance patterns in microbial keratitis: 4-year experience in eastern Pennsylvania. Cornea. 2015; 34: 296–302. [CrossRef] [PubMed]
Alexandrakis G, Alfonso EC, Miller D. Shifting trends in bacterial keratitis in south Florida and emerging resistance to fluoroquinolones. Ophthalmology. 2000; 107: 1497–1502. [CrossRef] [PubMed]
Asbell PA, Sanfilippo CM, Sahm DF, DeCory HH. Trends in antibiotic resistance among ocular microorganisms in the United States from 2009 to 2018. JAMA Ophthalmol. 2020; 138: 439–450. [CrossRef] [PubMed]
Makdoumi K, Bäckman A, Mortensen J, Crafoord S. Evaluation of antibacterial efficacy of photo-activated riboflavin using ultraviolet light (UVA). Graefes Arch Clin Exp Ophthalmol. 2010; 248: 207–212. [CrossRef] [PubMed]
Iseli HP, Thiel MA, Hafezi F, Kampmeier J, Seiler T. Ultraviolet A/riboflavin corneal cross-linking for infectious keratitis associated with corneal melts. Cornea. 2008; 27: 590–594. [CrossRef] [PubMed]
Tabibian D, Richoz O, Hafezi F. PACK-CXL: corneal cross-linking for treatment of infectious keratitis. J Ophthalmic Vis Res. 2015; 10: 77–80. [PubMed]
Pot SA, Gallhöfer NS, Matheis FL, Voelter‐Ratson K, Hafezi F, Spiess BM. Corneal collagen cross-linking as treatment for infectious and noninfectious corneal melting in cats and dogs: results of a prospective, nonrandomized, controlled trial. Vet Ophthalmol. 2014; 17: 250–260. [CrossRef] [PubMed]
Spiess BM, Pot SA, Florin M, Hafezi F. Corneal collagen cross-linking (CXL) for the treatment of melting keratitis in cats and dogs: a pilot study. Vet Ophthalmol. 2014; 17: 1–11. [CrossRef] [PubMed]
Famose F . Evaluation of accelerated collagen cross-linking for the treatment of melting keratitis in eight dogs. Vet Ophthalmol. 2014; 17: 358–367. [CrossRef] [PubMed]
Davis SA, Bovelle R, Han G, Kwagyan J. Corneal collagen cross-linking for bacterial infectious keratitis. Cochrane Database Syst Rev. 2020; 6: CD013001. [PubMed]
Ting DSJ, Henein C, Said DG, Dua HS. Photoactivated chromophore for infectious keratitis - Corneal cross-linking (PACK-CXL): a systematic review and meta-analysis. Ocul Surf. 2019; 17(4): 624–634. [CrossRef] [PubMed]
Prajna NV, Radhakrishnan N, Lalitha P, et al. Cross-linking assisted infection reduction (CLAIR): a randomized clinical trial evaluating the effect of adjuvant cross-linking on bacterial keratitis. Cornea. 2021; 40: 837–841. [CrossRef] [PubMed]
Papaioannou L, Miligkos M, Papathanassiou M. Corneal collagen cross-linking for infectious keratitis: a systematic review and meta-analysis. Cornea. 2016; 35: 62–71. [CrossRef] [PubMed]
Ting DSJ, Henein C, Said DG, Dua HS. Effectiveness of adjuvant photoactivated chromophore corneal collagen cross-linking versus standard antimicrobial treatment for infectious keratitis: a systematic review protocol. JBI Evid Synth. 2020; 18: 194–199. [CrossRef] [PubMed]
Zloto O, Barequet IS, Weissman A, Ezra Nimni O, Berger Y, Avni-Zauberman N. Does PACK-CXL change the prognosis of resistant infectious keratitis? J Refract Surg. 2018; 34: 559–563. [CrossRef] [PubMed]
Knyazer B, Krakauer Y, Baumfeld Y, Lifshitz T, Kling S, Hafezi F. Accelerated corneal cross-linking with photoactivated chromophore for moderate therapy-resistant infectious keratitis. Cornea. 2018; 37: 528–531. [CrossRef] [PubMed]
Knyazer B, Krakauer Y, Tailakh MA, et al. Accelerated corneal cross-linking as an adjunct therapy in the management of presumed bacterial keratitis: a cohort study. J Refract Surg. 2020; 36: 258–264. [CrossRef] [PubMed]
Khripun KV, Kobinets YV, Danilov PA, Rozhdestvenskaya ES, Nizametdinova YS. Corneal collagen cross-linking in mixed etiology keratitis treatment: a case of successful use. Ophthalmol J. 2021; 13: 87–96.
Pettersson MN, Lagali N, Mortensen J, Jofré V, Fagerholm P. High fluence PACK-CXL as adjuvant treatment for advanced Acanthamoeba keratitis. Am J Ophthalmol Case Rep. 2019; 15: 100499. [CrossRef] [PubMed]
Farhad H . Results of the multicenter RCT on PACK-CXL. 2019: International CLX Experts Meeting.
Peters MDJ, Marnie C, Tricco AC, et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth. 2020; 18: 2119–2126. [CrossRef] [PubMed]
Tricco AC, Lillie E, Zarin W, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018; 169: 467–473. [CrossRef] [PubMed]
Team TE . EndNote. Philadelphia: Clarivate; 2013.
ARVO. Statement for the use of animals in ophthalmic and vision research. 2016 27 Jun 2021, https://www.arvo.org/globalassets/arvo/advocacy/advocacy-resources/other-toolkits/updated-arvo-statement-_revised_dec_2021.pdf.
Sprague W . Arrive Guidelines 2.0. Vet Clin Pathol. 2020; 49: 378–379. [CrossRef] [PubMed]
Covidence systematic review software . Melbourne, Australia: Veritas Health Innovation; 2019, https://support.covidence.org/help/how-can-i-cite-covidence#:~:text=Covidence%20uses%20iterative%20product%20development.
Tolar EL, Hendrix DV, Rohrbach BW, Plummer CE, Brooks DE, Gelatt KN. Evaluation of clinical characteristics and bacterial isolates in dogs with bacterial keratitis: 97 cases (1993-2003). J Am Vet Med Assoc. 2006; 228: 80–85. [CrossRef] [PubMed]
Hewitt JS, Allbaugh RA, Kenne DE, Sebbag L. Prevalence and antibiotic susceptibility of bacterial isolates from dogs with ulcerative keratitis in midwestern United States. Front Vet Sci. 2020; 7: 583965. [CrossRef] [PubMed]
Hindley KE, Groth AD, King M, Graham K, Billson FM. Bacterial isolates, antimicrobial susceptibility, and clinical characteristics of bacterial keratitis in dogs presenting to referral practice in Australia. Vet Ophthalmol. 2016; 19: 418–426. [CrossRef] [PubMed]
Kalkanci A, Yesilirmak N, Ozdemir HB, et al. Impact of iontophoresis and PACK-CXL corneal concentrations of antifungals in an in vivo model. Cornea. 2018; 37: 1463–1467. [CrossRef] [PubMed]
Kilic BB, Altiors DD, Demirbilek M, Ogus E. Comparison between corneal cross-linking, topical antibiotic and combined therapy in experimental bacterial keratitis model. Saudi J Ophthalmol. 2018; 32: 97–104. [CrossRef] [PubMed]
Wei A, Zhao Z, Kong X, Shao T. Comparison of accelerated and standard corneal collagen cross-linking treatments in experimental fungal keratitis for Aspergillus fumigatus. J Ophthalmol. 2022; 2022(1): 1085692. [PubMed]
Zhao Z, Chen X, Shao Y, Shao T. Comparison of corneal collagen cross-linking and voriconazole treatments in experimental fungal keratitis for Aspergillus fumigatus. Front Med. 2022; 9.
Su G, Wei Z, Wang L, et al. Evaluation of toluidine blue-mediated photodynamic therapy for experimental bacterial keratitis in rabbits. Transl Vis Sci Technol. 2020; 9(3): 13. [CrossRef] [PubMed]
Wei S, Zhang C, Zhang S, Xu Y, Mu G. Treatment results of corneal collagen cross-linking combined with riboflavin and 440 nm blue light for bacterial corneal ulcer in rabbits. Curr Eye Res. 2017; 42: 1401–1406. [CrossRef] [PubMed]
Percie du Sert N, Hurst V, Ahluwalia A, et al. The ARRIVE guidelines 2.0: updated guidelines for reporting animal research. PLOS Biology. 2020; 18(7): e3000410. [CrossRef] [PubMed]
Deichelbohrer M, Wu MF, Seitz B, et al. Bacterial keratitis: photodynamic inactivation reduced experimental inflammation. Exp Ther Med. 2017; 14: 4509–4514. [PubMed]
Atalay HT, Uysal BS, Sarzhanov F, et al. Rose Bengal-mediated photodynamic antimicrobial treatment of Acanthamoeba keratitis. Curr Eye Res. 2020; 45: 1205–1210. [CrossRef] [PubMed]
Ren M, Wu X. Evaluation of three different methods to establish animal models of Acanthamoeba keratitis. Yonsei Med J. 2010; 51: 121–127. [CrossRef] [PubMed]
Awad R, Hafezi F, Ghaith AA, et al. Comparison between three different high fluence UVA levels in corneal collagen cross-linking for treatment of experimentally induced fungal keratitis in rabbits. Eur J Ophthalmol. 2022; 32: 1907–1914. [CrossRef] [PubMed]
Schreiber W, Olbrisch A, Vorwerk CK, König W, Behrens-Baumann W. Combined topical fluconazole and corticosteroid treatment for experimental Candida albicans keratomycosis. Invest Ophthalmol Vis Sci. 2003; 44: 2634–2643. [CrossRef] [PubMed]
Berra M, Galperín G, Boscaro G, et al. Treatment of Acanthamoeba keratitis by corneal cross-linking. Cornea. 2013; 32: 174–178. [CrossRef] [PubMed]
Ozturk F, Yavas GF, Kusbeci T, et al. Efficacy of topical caspofungin in experimental fusarium keratitis. Cornea. 2007; 26: 726–728. [CrossRef] [PubMed]
Cosar CB, Kucuk M, Celik E, et al. Microbiologic, pharmacokinetic, and clinical effects of corneal collagen cross-linking on experimentally induced pseudomonas keratitis in rabbits. Cornea. 2015; 34: 1276–1280. [CrossRef] [PubMed]
Elbassiouny RAM, Ghaith AA, Farhad H, Baddour MM, Eman S, Elmassry AA. Evaluation of the efficacy of high-fluence corneal collagen cross-linking in fusarium corneal ulcer in rabbits. J Egyptian Ophthalmol Soc. 2022; 115(2): 43–48. [CrossRef]
Galperin G, Berra M, Tau J, Boscaro G, Zarate J, Berra A. Treatment of fungal keratitis from Fusarium infection by corneal cross-linking. Cornea. 2012; 31: 176–180. [CrossRef] [PubMed]
Kalkanci A, Bilgihan K, Ozdemir HB, Yar Saglam AS, Karakurt F, Erdogan M. Corneal cross-linking has no effect on matrix metalloproteinase 9 and 13 levels during fungal keratitis on the early stage. Mycopathologia. 2018; 183: 329–336. [CrossRef] [PubMed]
Özdemir HB, Kalkancı A, Bilgihan K, et al. Comparison of corneal collagen cross-linking (PACK-CXL) and voriconazole treatments in experimental fungal keratitis. Acta Ophthalmol. 2019; 97(1): e91–e96. [CrossRef] [PubMed]
Peng F, Xie Q, Chen J, et al. Effect of corneal collagen cross-linking on subsequent corneal fungal infection in rats. Transl Vis Sci Technol. 2023; 12(5): 12–12. [CrossRef] [PubMed]
Dwia Pertiwi Y, Chikama T, Sueoka K, et al. Efficacy of photodynamic anti-microbial chemotherapy for Acanthamoeba keratitis in vivo. Lasers Surg Med. 2021; 53: 695–702. [CrossRef] [PubMed]
van Klink F, Taylor WM, Alizadeh H, Jager MJ, van Rooijen N, Niederkorn JY. The role of macrophages in Acanthamoeba keratitis. Invest Ophthalmol Vis Sci. 1996; 37: 1271–1281. [PubMed]
Tal K, Gal-Or O, Pillar S, Zahavi A, Rock O, Bahar I. Efficacy of primary collagen cross-linking with photoactivated chromophore (PACK-CXL) for the treatment of Staphylococcus aureus-induced corneal ulcers. Cornea. 2015; 34: 1281–1286. [CrossRef] [PubMed]
Johnson MK, Hobden JA, Hagenah M, O'Callaghan RJ, Hill JM, Chen S. The role of pneumolysin in ocular infections with Streptococcus pneumoniae. Curr Eye Res. 1990; 9: 1107–1114. [CrossRef] [PubMed]
Sanders ME, Moore QC, III, Norcross EW, Shafiee A, Marquart ME. Efficacy of besifloxacin in an early treatment model of methicillin-resistant Staphylococcus aureus keratitis. J Ocul Pharmacol Ther. 2010; 26: 193–198. [CrossRef] [PubMed]
Wu M-F, Deichelbohrer M, Tschernig T, et al. Chlorin e6 mediated photodynamic inactivation for multidrug resistant Pseudomonas aeruginosa keratitis in mice in vivo. Sci Rep. 2017; 7(1): 44537. [CrossRef] [PubMed]
Cuiying Z, Wei S, Zhang L, Li W, Lv Y, Mu G. Observation of curative effect regarding corneal cross-linking treatment of riboflavin combined with 440 nm blue-light cornea for fungal keratitis. Int J Clin Exp Med. 2016; 9: 717–724.
Zhu Y, Reinach PS, Zhu H, et al. High-intensity corneal collagen crosslinking with riboflavin and UVA in rat cornea. PLoS One. 2017; 12(6): e0179580. [CrossRef] [PubMed]
Chen Y, Yang W, Zhang X, et al. MK2 inhibitor reduces alkali burn-induced inflammation in rat cornea. Sci Rep. 2016; 6(1): 28145. [CrossRef] [PubMed]
Famose F . Evaluation of accelerated collagen cross-linking for the treatment of melting keratitis in ten cats. Vet Ophthalmol. 2015; 18: 95–104. [CrossRef] [PubMed]
Tajima K, Sinjyo A, Ito T, Noda Y, Goto H, Ito N. Methicillin-resistant Staphylococcus aureus keratitis in a dog. Vet Ophthalmol. 2013; 16: 240–243. [CrossRef] [PubMed]
Marchegiani A, Gialletti R, Cassarani MP, et al. Riboflavin/UV-A corneal phototherapy as stand-alone management of ulcerative keratitis in dogs. Vet Med. 2022; 67: 190–198. [CrossRef]
Bai Y, Hu Y, Gao Y, et al. Oxygen self-supplying nanotherapeutic for mitigation of tissue hypoxia and enhanced photodynamic therapy of bacterial keratitis. ACS Appl Mater Interfaces. 2021; 13: 33790–33801. [CrossRef] [PubMed]
El-Laithy HM, Nesseem DI, El-Adly AA, Shoukry M. Moxifloxacin-Gelrite in situ ophthalmic gelling system against photodynamic therapy for treatment of bacterial corneal inflammation. Arch Pharm Res. 2011; 34: 1663–1678. [CrossRef] [PubMed]
Kashiwabuchi RT, Carvalho FR, Khan YA, et al. Assessing efficacy of combined riboflavin and UV-A light (365 nm) treatment of Acanthamoeba trophozoites. Invest Ophthalmol Vis Sci. 2011; 52: 9333–9338. [CrossRef] [PubMed]
van Klink F, Alizadeh H, He Y, et al. The role of contact lenses, trauma, and Langerhans cells in a Chinese hamster model of Acanthamoeba keratitis. Invest Ophthalmol Vis Sci. 1993; 34: 1937–1944. [PubMed]
Shih M-H, Huang F-C. Effects of photodynamic therapy on rapidly growing nontuberculous mycobacteria keratitis. Invest Ophthalmol Vis Sci. 2011; 52: 223–229. [CrossRef] [PubMed]
Wang B, Zhou L, Guo Y, et al. Cyanobacteria-based self-oxygenated photodynamic therapy for anaerobic infection treatment and tissue repair. Bioact Mater. 2022; 12: 314–326. [PubMed]
Hazlett LD, Moon MM, Strejc M, Berk RS. Evidence for N-acetylmannosamine as an ocular receptor for P. aeruginosa adherence to scarified cornea. Invest Ophthalmol Vis Sci. 1987; 28: 1978–1985. [PubMed]
Zhang H, Jiang W, Peng Y, et al. Killing three birds with one stone: near-infrared light triggered nitric oxide release for enhanced photodynamic and anti-inflammatory therapy in refractory keratitis. Biomaterials. 2022; 286: 121577. [CrossRef] [PubMed]
Zhou C, Peng C, Shi C, et al. Mitochondria-specific aggregation-induced emission luminogens for selective photodynamic killing of fungi and efficacious treatment of keratitis. ACS nano. 2021; 15: 12129–12139. [CrossRef] [PubMed]
Zhu Z, Zhang H, Yue J, Liu S, Li Z, Wang L. Antimicrobial efficacy of corneal cross-linking in vitro and in vivo for Fusarium solani: a potential new treatment for fungal keratitis. BMC Ophthalmol. 2018; 18: 65. [CrossRef] [PubMed]
Colquhoun HL, Levac D, O'Brien KK, et al. Scoping reviews: time for clarity in definition, methods, and reporting. J Clin Epidemiol. 2014; 67: 1291–1294. [CrossRef] [PubMed]
Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005; 8: 19–32. [CrossRef]
Levac D, Colquhoun H, O'Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010; 5: 69. [CrossRef] [PubMed]
Khalil H, Peters MD, Tricco AC, et al. Guidance to conducting high quality scoping reviews. J Clin Epidemiol. 2021; 130: 156–160. [CrossRef] [PubMed]
Lockwood C, Tricco AC. Preparing scoping reviews for publication using methodological guides and reporting standards. Nurs Health Sci. 2020; 22(1): 1–4. [CrossRef] [PubMed]
Peters MDJ, Godfrey C, McInerney P, Munn Z, Tricco AC, Khalil H. Chapter 11: Scoping reviews. In: Aromataris E, Munn Z, eds. JBI Manual for Evidence Synthesis. Available from: https://synthesismanual.jbi.global.
Prinsen CAC, Vohra S, Rose MR, et al. Core Outcome Measures in Effectiveness Trials (COMET) initiative: protocol for an international Delphi study to achieve consensus on how to select outcome measurement instruments for outcomes included in a “core outcome set.” Trials. 2014; 15(1): 247. [CrossRef] [PubMed]
Eaton JS, Miller PE, Bentley E, Thomasy SM, Murphy CJ. The SPOTS System: an ocular scoring system optimized for use in modern preclinical drug development and toxicology. J Ocul Pharmacol Ther. 2017; 33: 718–734. [CrossRef] [PubMed]
Kaplan RM, Irvin VL. Likelihood of null effects of large NHLBI clinical trials has increased over time. PLoS One. 2015; 10(8): e0132382. [CrossRef] [PubMed]
Allen C, Mehler DMA. Open science challenges, benefits and tips in early career and beyond. PLOS Biology. 2019; 17(5): e3000246. [CrossRef] [PubMed]
Figure 1.
 
Data extraction and classification process. The process contained four stages: 1. Record classification into one of four study types; 2. Record classification into one of seven application domains; 3. Record classification into one of six PACK-CXL-relevant effect categories. Here, more than one effect category was possible per record and application domain; 4. Grouping of recorded endpoints used to measure PACK-CXL-relevant effects under new common names, and according to study type, application domain and PACK-CXL-relevant effect category.
Figure 1.
 
Data extraction and classification process. The process contained four stages: 1. Record classification into one of four study types; 2. Record classification into one of seven application domains; 3. Record classification into one of six PACK-CXL-relevant effect categories. Here, more than one effect category was possible per record and application domain; 4. Grouping of recorded endpoints used to measure PACK-CXL-relevant effects under new common names, and according to study type, application domain and PACK-CXL-relevant effect category.
Figure 2.
 
PRISMA flow diagram of record eligibility screening.
Figure 2.
 
PRISMA flow diagram of record eligibility screening.
Figure 3.
 
Original terms used in record titles to describe investigated interventions. The original terms describing the investigated interventions were extracted from the titles of records that investigated antimicrobial CXL efficacy or CXL effectiveness/efficacy against infectious keratitis. (A) terms in records published before 2013. (B) Terms in records published in or after the year 2013. “No”: indicates that the intervention was not named in the record title. *Photodynamic = Photodynamic antimicrobial/inactivation/elimination/eradication; *Photochemical = Photochemical activation/eradication/therapy/cross-linking.
Figure 3.
 
Original terms used in record titles to describe investigated interventions. The original terms describing the investigated interventions were extracted from the titles of records that investigated antimicrobial CXL efficacy or CXL effectiveness/efficacy against infectious keratitis. (A) terms in records published before 2013. (B) Terms in records published in or after the year 2013. “No”: indicates that the intervention was not named in the record title. *Photodynamic = Photodynamic antimicrobial/inactivation/elimination/eradication; *Photochemical = Photochemical activation/eradication/therapy/cross-linking.
Figure 4.
 
Pathogens tested in PACK-CXL studies (RQ 2). The pathogen species used to investigate PACK-CXL-relevant effects in three study types are presented: (A) in vitro/ex vivo; (B) in vivo (laboratory); and (C) studies combining both in vitro and in vivo models. Studies including clinical animal patients were excluded from the graph, since pathogen detection largely depends on the culture methodology in such studies. Studies involving bacteria, fungi and protozoa are presented in green, orange, and purple, respectively. Prot, protozoa.
Figure 4.
 
Pathogens tested in PACK-CXL studies (RQ 2). The pathogen species used to investigate PACK-CXL-relevant effects in three study types are presented: (A) in vitro/ex vivo; (B) in vivo (laboratory); and (C) studies combining both in vitro and in vivo models. Studies including clinical animal patients were excluded from the graph, since pathogen detection largely depends on the culture methodology in such studies. Studies involving bacteria, fungi and protozoa are presented in green, orange, and purple, respectively. Prot, protozoa.
Figure 5.
 
Endpoints used to assess PACK-CXL-relevant effects (RQ 4): general and antimicrobial effect-specific overview. (A) Bar plots representing the frequency of use of the various endpoint categories per PACK-CXL application domain. The domain “Other applications” includes bullous keratopathy, Boston keratoplasty, and sterile melting/keratoconus. The domains “amoebal infections” and “fungal infections” included isolates from ocular (infectious keratitis) and/or non-ocular infections. The endpoints used for the assessment of the antimicrobial effects of PACK-CXL are indicated with an interrupted red rectangle and are presented in more detail in Figure 5B. (B) Overview of endpoints (common names under which the original endpoint term definitions that were extracted from the eligible records were grouped) used to measure the antimicrobial effects of PACK-CXL in studies assigned to the amoebal, bacterial, and fungal infection domains. (C) The terminology used in the original records to describe the endpoints grouped under the same common endpoint name “bacterial elimination [CFU or CFU/mL].”
Figure 5.
 
Endpoints used to assess PACK-CXL-relevant effects (RQ 4): general and antimicrobial effect-specific overview. (A) Bar plots representing the frequency of use of the various endpoint categories per PACK-CXL application domain. The domain “Other applications” includes bullous keratopathy, Boston keratoplasty, and sterile melting/keratoconus. The domains “amoebal infections” and “fungal infections” included isolates from ocular (infectious keratitis) and/or non-ocular infections. The endpoints used for the assessment of the antimicrobial effects of PACK-CXL are indicated with an interrupted red rectangle and are presented in more detail in Figure 5B. (B) Overview of endpoints (common names under which the original endpoint term definitions that were extracted from the eligible records were grouped) used to measure the antimicrobial effects of PACK-CXL in studies assigned to the amoebal, bacterial, and fungal infection domains. (C) The terminology used in the original records to describe the endpoints grouped under the same common endpoint name “bacterial elimination [CFU or CFU/mL].”
Table 1.
 
Investigated PACK-CXL Protocol Modifications (RQ 1)
Table 1.
 
Investigated PACK-CXL Protocol Modifications (RQ 1)
Table 2.
 
Origin of Pathogens Used in PACK-CXL Studies (RQ 2)
Table 2.
 
Origin of Pathogens Used in PACK-CXL Studies (RQ 2)
Table 3.
 
Models Used in PACK-CXL Studies (RQ 3)
Table 3.
 
Models Used in PACK-CXL Studies (RQ 3)
Table 4.
 
Methods Used to Create Infectious Keratitis (Bacterial or Fungal) Animal Models (RQ 3)
Table 4.
 
Methods Used to Create Infectious Keratitis (Bacterial or Fungal) Animal Models (RQ 3)
Table 5.
 
Elements Included Into Infectious Keratitis Scoring Systems in 16 Full-Text Records Investigating PACK-CXL Treatment Effectiveness/Efficacy in Infectious Keratitis
Table 5.
 
Elements Included Into Infectious Keratitis Scoring Systems in 16 Full-Text Records Investigating PACK-CXL Treatment Effectiveness/Efficacy in Infectious Keratitis
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×