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.

Acta Ophthalmologica
|November 20, 2025
PubMed

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.