[A course of coronary heart disease and quality of life in patients with varying depressive states].
Bibliographic record
Abstract
AIM: To study a course of coronary heart disease (CHD) in patients with depressive disorders. MATERIAL AND METHODS: The trial included 77 CHD patients aged 39 to 68 years (mean age 54.9 +/- 0.9 years), 40 (51.9%) of them had myocardial infarction. All the examinees had effort angina of functional class II-IV by criteria of the Canadian Cardiology Association. All the patients have undergone standard clinical examination, stress tests, coronaroangiography (n = 30), assessment of the degree of vegetative dystonia and quality of life. The patients were divided into two groups depending on the depression degree. RESULTS: CHD patients with manifest depression vs those with subclinical depression had a higher level of personality and reactive anxiety. They had neurotic and psychopathological personality alterations associated with more pronounced vegetative disorders. These patients suffered from more severe coronary atherosclerosis, more hospitalizations for the previous year, more myocardial infarctions, lower physical activity and quality of life. CONCLUSION: CHD patients with manifest depression have lower physical performance and quality of life though this is not confirmed at exercise tests.
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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".