ECTOPIC INNER FOVEAL LAYER CLASSIFICATION SCHEME PREDICTS VISUAL OUTCOMES AFTER EPIRETINAL MEMBRANE SURGERY
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Bibliographic record
Abstract
PURPOSE: To evaluate the ectopic inner foveal layer (EIFL) staging scheme as a visual prognostic factor for patients undergoing epiretinal membrane (ERM) surgery. METHODS: Retrospective study of 88 pseudophakic patients with diagnosis of idiopathic ERM who underwent ERM surgery with a minimum follow-up of 12 months. Preoperative and postoperative EIFL staging was correlated with the final best-corrected visual acuity (BCVA). As a secondary outcome, evaluation of the proportion of patients achieving final best-corrected visual acuity ≥20/40 in each stage was assessed. RESULTS: Based on the EIFL staging scheme, of 88 pseudophakic eyes analyzed, 24 (27.4%) were diagnosed as Stage 2 ERM, 45 (51.1%) as Stage 3 ERM, and 19 (21.5%) as Stage 4 ERM preoperatively. At the final follow-up visit, 70.8% of eyes with Stage 2 showed an improvement in EIFL staging scheme, while 68% of eyes in Stage 3 and 4 remained the same. The final best-corrected visual acuity significantly improved with all EIFL stages (P = <0.05). However, earlier stages were associated with better visual outcomes both preoperatively and postoperatively (Stage 2 > Stage 3 > Stage 4 P < 0.001). Final best-corrected visual acuity ≥20/40 was reached in 91.7% of eyes with Stage 2, 42.3% with Stage 3, and 5.2% with Stage 4. CONCLUSION: The EIFL staging scheme is an easy, fast, and reproducible method to evaluate visual prognosis with ERM surgery. Surgery on Stage 2 ERM results in significantly better visual outcomes and a greater chance of reversibility in anatomical changes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it