Breast arterial calcification and hypertension associated with vertebral fracture
Bibliographic record
Abstract
AIM: Arterial calcification and osteoporosis commonly accompany one another in postmenopausal women. Hypertension is a known contributing factor to arterial calcification. Thus, we aimed to investigate any associations between hypertension, arterial calcification and vertebral fractures in a cross-sectional study in Japanese postmenopausal women. METHODS: The medical histories of 421 postmenopausal Japanese women diagnosed with hypertension, diabetes mellitus or hyperlipidemia were investigated. Bodyweight, body height and ultradistal bone mineral density (BMD) were measured. The prevalent vertebral fractures were diagnosed by a semiquantitative method, and the number of breast arterial calcifications (BAC) was investigated by mammography screening. RESULTS: Patients with vertebral fractures were of a significantly higher age, lower height, lower ultradistal BMD and had a higher number of BAC compared with those without vertebral fractures. Furthermore, a significantly higher prevalence of hypertension was observed in the patients with vertebral fractures as compared with those without. A multivariate stepwise regression analysis using these variables for vertebral fractures showed that the significant odds ratios (OR) of age (OR 1.76, 95% CI 1.11-2.77, P = 0.016), the prevalence of BAC (OR 2.52, 95% CI 1.62-3.93, P < 0.001) and the presence of hypertension (OR 1.76, 95% CI 1.11-2.80, P = 0.017) were found as significant independent risk factors for vertebral fractures. CONCLUSION: This is the first report of the relevance of BAC or hypertension to vertebral fractures in Japanese women. The results suggest that hypertension, BAC and osteoporotic fractures share a common metabolic pathway in their pathogenesis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".