SICKLE CELL RETINOPATHY LOST TO FOLLOW-UP STUDY
Bibliographic record
Abstract
PURPOSE: To determine the outcomes of patients with sickle cell retinopathy who experienced at least one episode of being lost to follow-up (LTFU) compared with those who attended all appointments. METHODS: Adult patients with sickle cell retinopathy who visited Wills Eye Hospital Retina service (January 2012-December 2021) with >2 visits were reviewed for LTFU events, defined as failure to return for a follow-up appointment within 6 months of the scheduled date. RESULTS: One hundred and eighty-one eyes of 94 patients were included. Fifty-one patients (99 eyes) attended all appointments ("attended group"), whereas 43 patients (82 eyes), or 46%, had at least one LTFU event ("LTFU group"). The mean (SD) LTFU duration was 470 (329) days. In the LTFU group, mean (SD) VA was significantly worse at the final visit (logMAR 0.45 (0.63), Snellen 20/56) and at the post-LTFU visit (0.36 (0.59), 20/46) compared with the pre-LTFU visit (0.3 (0.47), 20/40, P = 0.001). In the attended group, mean (SD) VA was significantly better at the final visit (0.41 (0.63), 20/51) compared with the initial visit (0.52 (0.78), 20/66, P = 0.038). CONCLUSION: Patients with sickle cell retinopathy with an LTFU event have worse visual outcomes compared with patients who attend all appointments.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".