Outcomes of Eyes Lost to Follow-up After Treatment With Intraocular or Periocular Steroid Injections
Bibliographic record
Abstract
Purpose: To evaluate the visual, intraocular pressure (IOP), and anatomic outcomes of eyes with loss to follow-up (LTFU) after intravitreal or periocular steroid injections. Methods: Patients receiving intraocular or periocular steroid injections and with LTFU for at least 180 days were included in this retrospective cohort study. Charts were reviewed for the visual acuity (VA), IOP, and central foveal thickness at the visit before LTFU, the first return visit, and 3, 6, and 12 months after return. Results: Fifty-three eyes of 47 patients were identified. The mean (±SD) age was 62.3 ± 14.9 years, the mean LTFU time was 295 ± 181.2 days (range, 182-1101), and the mean follow-up after return was 354 ± 339.3 days (range, 32-1141). The overall mean number of steroid injections was 5.2 ± 3.9 (range, 1-18). Compared with the mean logMAR VA at the visit before LTFU (0.59 [Snellen 20/77]), the mean VA remained stable at all timepoints after return as follows: return visit (0.62 [20/83]; P = .6), month 3 (0.55 [20/70]; P = .6), month 6 (0.55 [20/70]; P = .5), month 12 (0.64 [20/87]; P = .6), and final visit (0.69 [20/97]; P = .2). At the first return visit, 8 (15%) of 53 patients had an IOP of 21 mm Hg or higher (range, 21-31); 2 required treatment with a new antihypertensive medication (latanoprost and timolol, respectively). Conclusions: Patients with LTFU after receiving steroid injections maintained their VA. No patient required incisional glaucoma surgery. Compared with other etiologies, eyes with diabetic macular edema had a greater increase in IOP.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".