Bibliographic record
Abstract
In Brief Purpose: To assess the surgical success rates of modern macular hole repair with elimination of face down positioning. Methods: A review of data for 72 eyes (from 102 consecutive cases) with idiopathic macular holes treated surgically between 1998 and 2004 was performed. Exclusion criteria consisted of macular hole for >1 year or of unknown duration and macular holes from secondary causes. All patients were evaluated and surgically managed by one surgeon (R.T.). Results: Average preoperative best spectacle corrected visual acuity (BSCVA) was 20/170 (6/51). Six patients had a grade II hole, 60 patients had a grade III hole, and 6 patients, had a grade IV hole. Anatomical success was achieved in 92% of cases with 1 operation, and the average postoperative BSCVA was 20/46 (6/14). Six patients required additional surgical management to achieve anatomical success with an average postoperative BSCVA of 20/55 (6/16.5). The postoperative BSCVA improved an average of 5.7 lines from baseline. Conclusion: Favorable anatomical and BSCVA outcomes were achieved with the elimination of face down positioning in the postoperative period. Additional benefits are an increase in patient acceptance and compliance and the number of patients eligible for the procedure. This retrospective case series examines the success rates of macular hole repair with limited 24-hour non-supine positioning. Average preoperative and postoperative BSCVA were 20/170 (6/51) and 20/47.4 (6/14.2), respectively. Anatomic success was achieved in 92% with one operation. Six patients required additional surgical management to achieve anatomic success.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
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".