Matching-Adjusted Indirect Comparison Data for Dry Eye Disease Treatments

Supplementary data from a 2026 study published in the Journal of Comparative Effectiveness Research. The dataset supports a matching-adjusted indirect comparison of acoltremon 0.003% and cyclosporine 0.05% ophthalmic solutions for increasing tear production in dry eye disease patients. It includes risk of bias assessments and covariate rankings from clinical trials.

Use Cases

• Conducting indirect treatment comparisons based on matched patient-level and summary-level data.
• Assessing risk of bias in clinical trials for dry eye disease interventions.
• Ranking covariates and prognostic factors for statistical adjustment in meta-analyses.
• Evaluating comparative efficacy of prescription medications for tear production.

Strengths

• Data is peer-reviewed and published in a scientific journal.
• Includes specific statistical results like a mean difference of 1.62 categories with 95% CI.
• Focuses on a clinically relevant outcome (Schirmer test score) measured at day 14 and day 90.

Limitations

• Dataset is very small (31.9 KB), suggesting limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• The unanchored MAIC method may be influenced by residual confounding from unmeasured trial differences.

Provenance

Source

figshare, supplementary materials for a journal article.

Collection Method

Derived from patient-level data (COMET-2 and COMET-3 trials) and summary-level data via a matching-adjusted indirect comparison.

Freshness

Last updated 2026-05-14 13:26:08.