The Effect of Vitamin Therapy on the Progression of Coronary Artery Atherosclerosis Varies by Haptoglobin Type in Postmenopausal Women
Bibliographic record
Abstract
OBJECTIVE: Antioxidant trials have not demonstrated efficacy in slowing cardiovascular disease but could not rule out benefit for specific patient subgroups. Antioxidant therapy reduces LDL oxidizability in haptoglobin 1 allele homozygotes (Hp 1-1), but not in individuals with the haptoglobin 2 allele (Hp 2-1 or Hp 2-2). We therefore hypothesized that haptoglobin type would be predictive of the effect of vitamin therapy on coronary atherosclerosis as assessed by angiography. RESEARCH DESIGN AND METHODS: We tested this hypothesis in the Women's Angiographic Vitamin and Estrogen (WAVE) trial, a prospective angiographic study of vitamins C and E with or without hormone replacement therapy (HRT) in postmenopausal women. Haptoglobin type was determined in 299 women who underwent baseline and follow-up angiography. The annualized change in the minimum luminal diameter (MLD) was examined in analyses stratified by vitamin use, haptoglobin type, and diabetes status. RESULTS: We found a significant benefit on the change in MLD with vitamin therapy as compared with placebo in Hp 1-1 subjects (0.079 +/- 0.040 mm, P = 0.049). This benefit was more marked in diabetic subjects (0.149 +/- 0.064 mm, P = 0.021). On the other hand, there was a trend toward a more rapid decrease in MLD with vitamin therapy in Hp 2-2 subjects, which was more marked in diabetic subjects (0.128 +/- 0.057 mm, P = 0.027). HRT had no effect on these outcomes. CONCLUSIONS: The relative benefit or harm of vitamin therapy on the progression of coronary artery stenoses in women in the WAVE study was dependent on haptoglobin type. This influence of haptoglobin type seemed to be stronger in women with diabetes.
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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 | 0.003 |
| 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 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".