Characteristics and Outcomes of Retinal Detachment Associated With Atopic Dermatitis: A Retrospective Case Series
Bibliographic record
Abstract
Purpose: The purpose of this article is to describe the characteristics and outcomes of retinal detachment (RD) repair associated with atopic dermatitis (AD). Methods: A single-center, retrospective review of all patients with RD associated with AD between January 2007 and December 2017 was conducted. Results: Ten patients (13 eyes) were included with a mean age of 23.5 ± 6.4 years; 6 of the patients were male (60%). The average follow-up was 41.3 ± 34.8 months. Seven eyes developed proliferative vitreoretinopathy (PVR) and recurrent RD (53.8%). The mean number of retinal surgeries was 2.3 ± 1.3. Three eyes had a scleral buckle alone (23.1%), 4 eyes had vitrectomy only (30.8%), and 6 eyes had both scleral buckle and vitrectomy (46.2%). Five eyes had prior cataract surgery (38.5%), 5 eyes had cataract at presentation (38.5%), and 5 eyes developed lens subluxation (38.5%). The mean presenting best-corrected visual acuity (BCVA) was 1.14 logarithm of the minimum angle of resolution (Snellen equivalent, 20/276) and the mean final BCVA was 1.06 (Snellen, 20/230; P = .83). The retina was successfully reattached at final follow-up in all 13 eyes (100%). Conclusions: RD is a challenging complication of AD with a high rate of PVR, recurrent RD, cataract, and lens subluxation. Patient education and physician awareness are necessary for timely diagnosis, appropriate counseling, and optimal surgical planning.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".