Pars plana vitrectomy versus intravitreal antibiotics for endophthalmitis management following intravitreal <scp>anti‐VEGF agents</scp>: A <scp>meta‐analysis</scp>
Bibliographic record
Abstract
In this meta-analysis, we aim to compare the efficacy and safety of pars plana vitrectomy (PPV) versus tap-and-inject (TAI) of intravitreal antibiotics for the management of endophthalmitis secondary to intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. A systematic literature search was conducted on Ovid MEDLINE, EMBASE, and Cochrane Central (January 2005-October 2022). The primary analysis compared initial PPV versus TAI and the secondary analysis examined the efficacy and safety of TAI alone compared to TAI followed by PPV. The quality of non-randomized observational studies was assessed using the Newcastle-Ottawa Scale. The quality of the evidence was assessed for each outcome. A random effects meta-analysis was performed. Weighted mean differences (WMDs) with 95% confidence intervals were reported. Of the 7474 screened studies, nine studies reporting on 153 eyes were included. The change in mean best corrected visual acuity (BCVA) between endophthalmitis presentation and last follow-up did not significantly differ between the initial TAI versus PPV groups (WMD = 0.05 units; 95% CI -0.12 to 0.22; p = 0.59; heterogeneity p = 0.41). The difference in pre- to post-treatment mean BCVA did not significantly differ between eyes that received TAI alone or TAI followed by PPV (WMD = 0.04 units; 95% CI -0.42 to 0.51; p = 0.85; heterogeneity p = 0.74). While the meta-analysis revealed no significant difference in the change in BCVA between PPV and TAI to treat endophthalmitis secondary to anti-VEGF agents, the quality of evidence was low with potential for confounding and selection bias. Further well-designed studies in this setting are needed.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".