Genetic Risk Evaluation in Wet Age-Related Macular Degeneration Treatment Response
Bibliographic record
Abstract
<b><i>Objective:</i></b> To evaluate the pharmacogenetic relationship between <i>CFH</i> haplotypes and single nucleotide polymorphisms (SNPs) with response to ranibizumab treatment for neovascular age-related macular degeneration (nAMD). <b><i>Patients and Methods:</i></b> This was a prospective cohort study involving 70 treatment-naive nAMD patients. Patients were genotyped for <i>CFH</i> haplotypes and SNPs in the <i>C3, ARMS2, </i>and <i>mtDNA </i>genes. Visual acuity and central macular thickness were assessed at baseline and during 6 monthly follow-up visits. Multivariate logistic regression was used to determine the association between genotypes and a gain of ≥15 letters at the 6-month endpoint after adjusting for potential confounders. <b><i>Results:</i></b><i>CFH</i> haplotypes were associated with a gain of ≥15 letters at the 6-month endpoint (p = 0.046). Patients expressing protective haplotypes were more likely to achieve a gain of ≥15 letters relative to the greatly increased risk haplotypes [OR 6.58 (95% CI: 1.37, 31.59)]. <b><i>Conclusion:</i></b><i>CFH</i> is implicated in nAMD patient treatment response to ranibizumab.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 teacher head, 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".