Bibliographic record
Abstract
BACKGROUND: The goal of the study was to assess the state of coronary arteries in perimenopausal women undergoing examination before prescription of hormonal replacement therapy. METHODS: One hundred ninety-three patients were screened, and 43 of them were selected for inclusion to the study. Pretest probability of coronary heart disease (CHD) was 47% for patients with typical angina pain and 20.5% with atypical pain. Patients with typical and atypical pain syndromes had no essential differences in terms of age, but had different hormonal status assessed by follicle stimulating hormone level and different menopause durations. RESULTS: Atherosclerotic lesion causing luminal occlusion by more than 50% was detected in 13 (61.9%) patients with typical pain syndrome and in eight (36.4%) patients with atypical pain syndrome manifestations. Numbers of patients with intact coronary arteries were six (28.6%) and 10 (45.5%) in groups with typical and atypical pain syndrome, respectively. Myocardial bridges were found in five (23.8%) patients with typical pain syndrome and seven (31.8%) patients with atypical manifestations. CONCLUSION: In spite of modest pretest CHD probability in the group with typical pain syndrome and low pretest CHD probability in the group with atypical manifestations, patients with major atherosclerotic lesions were detected in both groups. Use of this approach to assessment of the state of coronary arteries allows detecting patients at high risk of cardiovascular complications and avoiding the use of hormonal replacement therapy in them.
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.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".