Sympathetic Ophthalmia after Vitreoretinal Surgery without Antecedent History of Trauma: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: To evaluate the morbidity frequency measures in terms of the cumulative incidence of sympathetic ophthalmia (SO) triggered by single or multiple vitreoretinal (VR) surgery procedures in eyes without an antecedent history of trauma and previous ocular surgery, except for previous or concomitant uneventful lens extraction, and to further investigate the relationship between VR surgery and SO. Methods: A literature search was conducted using PubMed, Embase, and Scopus from inception until 11 November 2022. The Joanna Briggs Institute (JBI) critical appraisal checklist for the case series and the Newcastle–Ottawa Scale were used to assess the risk of bias. The research was registered with the PROSPERO database (identifier, CRD42023397792). Meta-analyses were conducted using the measurement of risk and a 95% confidence interval (CI) for each study. Results: A random-effect meta-analysis demonstrated that the pooled cumulative incidence of SO triggered by single or multiple VR surgery procedures in eyes without an antecedent history of trauma and previous ocular surgery, except for previous or concomitant uneventful lens extraction among patients who developed SO regardless of the main trigger, was equal to 0.14 with a CI between 0.08 and 0.21 (I2 = 78.25, z: 7.24, p < 0.01). The pooled cumulative incidence of SO triggered by single or multiple VR surgery procedures in eyes without an antecedent history of trauma and previous ocular surgery, except for previous or concomitant uneventful lens extraction among patients who underwent VR surgery, was equal to 0.03 for every 100 people, with a confidence interval (CI) between 0.02% and 0.004% (I2 = 27.77, z: 9.11, p = 0.25). Conclusions: Despite postsurgical SO being a rare entity, it is a sight-threatening disease. VR surgery should be viewed as a possible inciting event for SO and considered when counseling patients undergoing VR 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 | 0.012 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.036 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".