Baseline OCT Biomarkers Predicting Visual Outcomes in Neovascular Age-Related Macular Degeneration
Bibliographic record
Abstract
TOPIC: To determine the effect estimates and certainty of evidence for baseline OCT biomarkers predicting visual acuity (VA) and changes in VA from baseline at 6, 12, and 24 months after anti-vascular endothelial growth factor therapy for neovascular age-related macular degeneration. CLINICAL RELEVANCE: Understanding the prognostic utility of biomarkers can improve treatment decisions. METHODS: Results were reported in ETDRS letters. Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) guidelines for prognostic studies informed certainty of evidence. Results were interpreted using a 5-letter minimally important difference. RESULTS: Twenty-nine reports (8863 eyes) evaluating 80 biomarkers were included. Two biomarkers predicted better VA at 12 months with a low-certainty: the presence of an intact external limiting membrane (+14.0; 95% confidence interval [CI], +3.1 to +24.8) and the presence of an intact ellipsoid zone (+6.8; 95% CI, +2.8 to +10.8). Three biomarkers predicted worse VA at 12 months with a low certainty; the presence of intraretinal fluid (IRF; -5.6; 95% CI, -9.7 to -1.5), the presence of IRF in the foveal center point (-7.4; 95% CI, -10.1 to -4.7), and the presence of subretinal hyperreflective material (-8.7; 95% CI, -19.0 to 1.6). No other biomarker predicted an effect size that crossed the minimally important difference. However, noteworthy results occurred when interpreting biomarkers with statistically significant findings relative to a threshold of 0 letters and moderate certainty: the presence of a pigment epithelial detachment, geographic atrophy (GA), and both IRF and subretinal fluid (SRF) predicted reduced vision at 12 months. The presence of SRF predicted a positive change in VA at 12 months. The absence of a posterior vitreous detachment predicted a negative change in VA at 12 months. Finally, the presence of IRF in the central 1 mm, retinal pigment epithelial elevation, and GA predicted negative changes in VA at 24 months. DISCUSSION: With low-certainty evidence, the baseline presence of an intact external limiting membrane and ellipsoid zone predicted better VA at 12 months, and the presence of IRF, IRF in the foveal center point, and subretinal hyperreflective material predicted worse VA at 12 months. Improved standardization in biomarker classification and control of confounding variables is needed. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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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) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".