Keratoconus cases associated with medication use: population-based pharmacovigilance study
Bibliographic record
Abstract
Keratoconus (KC) has been linked to atopy, connective tissue disorders, and mechanical trauma from repeated eye rubbing. However, evidence suggesting that certain medications may exacerbate or potentially trigger KC remains largely limited to case reports. This population-based, real-world pharmacovigilance analysis aimed to comprehensively investigate associations between drugs and reports of KC using data from the Food and Drug Administration Adverse Event Reporting System (FAERS). Overall, several pharmacologic agents were associated with disproportionately high reports of KC, including sex hormones such as progesterone and estradiol, olopatadine, isotretinoin, methylphenidate, spironolactone, antipsychotics such as aripiprazole and risperidone, and dupilumab. These results underscore the need for increased clinical vigilance in monitoring for early signs of KC in patients prescribed these medications. Furthermore, healthcare providers should be aware of the potential drug-related associations for KC, especially in high-risk groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".