Unified Approach to Treating Exogenous Endophthalmitis With Immediate Vitrectomy
Bibliographic record
Abstract
Purpose: To analyze the outcomes and complications of immediate (within 24 hours) small-gauge (23-gauge, 25-gauge) pars plana vitrectomy (PPV) for all causes of exogenous endophthalmitis. Methods: A retrospective case series was evaluated. Results: The study included 107 patients who had immediate PPV for exogenous endophthalmitis between 2016 and 2022. The primary outcome measures were the change from baseline best-corrected visual acuity (BCVA) to the final follow-up and the complications after PPV. Causes of exogenous endophthalmitis included intravitreal injections (62.6%), PPV (18.7%), cataract surgery (11.2%), glaucoma surgery (5.6%), and trauma (1.9%). The most common complications were retinal detachment (17.8%) and secondary glaucoma (9.3%). The mean logMAR BCVA improved significantly from the initial diagnosis to the final follow-up (2.26 vs 1.21) ( P < .0001). Conclusions: In most cases, immediate small-gauge vitrectomy for exogenous endophthalmitis leads to an improvement in VA, regardless of the VA at presentation. Patients should be counseled about the potential risks associated with PPV surgery.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".