Beyond Vision: Unveiling the Psychiatric Dimensions of Keratoconus
Bibliographic record
Abstract
Background and Objectives: Keratoconus (KC) is a progressive corneal ectasia with multifactorial etiology, increasingly studied for potential associations with psychiatric disorders. This systematic review aimed to evaluate recent evidence linking KC with depression and other psychiatric conditions, including psychotic disorders, personality disorders, attention deficit hyperactivity disorder (ADHD), Tourette syndrome (TS), autism spectrum disorder (ASD), and obsessive–compulsive disorder (OCD). Materials and Methods: Following PRISMA guidelines, PubMed, ScienceDirect and SpringerLink were searched for English-language observational studies published since 2015 that examined psychiatric disorders in adults with keratoconus. We excluded reviews, case reports, pediatric, non-English, and inaccessible articles. Study quality was assessed using the Newcastle–Ottawa Scale and JBI Checklist. Data were narratively summarized and tabulated—without meta-analysis due to heterogeneity. Results: Twelve studies met inclusion criteria, including 41,906 KC patients and 63,267 controls. Eleven studies investigated depression and one ADHD. Findings on depression were mixed: five studies showed higher depressive symptoms among KC patients, while others found no significant association. Most were cross-sectional and of moderate-to-high quality. The single study on ADHD reported a higher prevalence of KC in males, but no evidence of casual association. Evidence on TS, ASD, and OCD was scarce and largely limited to case reports. The review was limited by heterogeneous methodologies, small sample sizes, an absence of longitudinal data, and reliance on self-report or registry data. Conclusions: Current evidence indicates increased psychological burden among some individuals with KC, particularly regarding depressive symptoms, yet casual relationships remain unproven. Male ADHD patients may have an elevated risk of KC, especially in the presence of eye rubbing. Registration: Not registered.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| 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".