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Outcome parameters in studies investigating dry eye disease: A systematic literature review
Viktoria Pai1, Doreen Schmidl1, Liudmyla Petric1
1Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Abstract:
The development of effective therapeutics for dry eye disease (DED) is challenging due to its complex pathophysiology, heterogeneous patient presentation and the significant failure rate of previous clinical development programs. This underlines the importance of the selection of appropriate endpoints for clinical trials. The presented systematic review retrospectively analyzes the endpoints used in controlled clinical trials in studies of DED. Published clinical trials in the field of DED were reviewed from 2000 to 2023 and the used clinical endpoints were recorded by type and frequency of use. All studies that met the primary keyword search across various databases (PubMed, Embase, The Cochrane Library, Web of Science and Medline) were imported into Rayyan which was used to facilitate the screening process and support the collaboration between the reviewers. 93 876 studies were found of which 33 908 remained after duplicates were removed. All abstracts were screened for eligibility independently by two reviewers. 355 articles remained for full-text review, of which 194 were included in the present systematic review. The most frequently investigated product was topical medicinal products (88 studies), followed by topical lubricants (57 studies) and nutritional supplements (22 studies). Corneal fluorescein staining (45 studies) and the ocular surface disease index (OSDI; 96 studies) were the most frequently used primary objective and subjective outcome parameters. However, a sustainable number of studies failed to show statistically significant differences between treatment and control groups, despite improvements from baseline. Our findings show that corneal fluorescein staining and OSDI are the most frequently used endpoints in clinical studies, although they frequently are not able to detect differences between the treatment and control groups. Therefore, to enhance the efficiency and reliability of DED clinical trials, a consensus on optimal outcome measures is crucial, and the exploration of novel endpoints should be prioritized. PROSPERO Registration Number: CRD42022350817.
Insights
Developing effective dry eye disease (DED) treatments is hard. This review found common endpoints like corneal staining and OSDI often fail to show treatment differences, highlighting the need for better clinical trial measures.
Area of Science:
- Ophthalmology
- Clinical Trials
- Dry Eye Disease Research
Background:
- Dry eye disease (DED) therapeutics development faces challenges due to complex pathophysiology and high clinical trial failure rates.
- Effective clinical trial endpoint selection is critical for advancing DED treatments.
- Previous DED drug development programs have shown a significant failure rate.
Purpose of the Study:
- To retrospectively analyze the clinical endpoints utilized in controlled clinical trials for dry eye disease (DED).
- To identify the frequency and types of endpoints used in DED studies.
- To evaluate the effectiveness of current endpoints in detecting treatment efficacy.
Main Methods:
- Systematic review of controlled clinical trials for DED published between 2000 and 2023.
- Extensive literature search across PubMed, Embase, Cochrane Library, Web of Science, and Medline.
- Screening of 93,876 studies, with 194 ultimately included after rigorous review and duplicate removal.
Main Results:
- Topical medicinal products were the most investigated (88 studies), followed by lubricants (57) and supplements (22).
- Corneal fluorescein staining (45 studies) and Ocular Surface Disease Index (OSDI; 96 studies) were the most common primary endpoints.
- A significant number of studies failed to demonstrate statistically significant differences between treatment and control groups, despite baseline improvements.
Conclusions:
- Corneal fluorescein staining and OSDI are frequently used but often fail to detect treatment differences in DED clinical trials.
- There is a critical need for consensus on optimal outcome measures for DED clinical trials.
- Prioritizing the exploration and validation of novel endpoints is essential to improve trial efficiency and reliability.
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