The Effect of Vitamin Therapy on the Progression of Coronary Artery Atherosclerosis Varies by Haptoglobin Type in Postmenopausal Women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it