Improvements in physical and mental domains of quality of life by anti-ischaemic drug and revascularisation treatment in elderly men and women with chronic angina
Bibliographic record
Abstract
BACKGROUND: The severity of angina is related to a reduction in global quality of life (QoL), which may be improved by anti-ischaemic treatment. It is not known, however, whether improvements relate only to physical or also to mental and social domains of QoL and whether women benefit in a similar way to men. OBJECTIVES: To relate improvements in angina severity through anti-ischaemic treatment to physical and mental domains of QoL in elderly men and women and to assess differences in this relation between the sexes. METHODS: Angina severity and full assessment of QoL by structured, self-administered and validated questionnaires were measured prospectively at baseline and after 6 months' optimal drug or revascularisation treatment in all 301 patients of the Trial of Invasive versus Medical therapy in Elderly (TIME) patients with chronic angina. RESULTS: At baseline, angina severity correlated significantly with physical domains of QoL (trend test at least p<0.02) and daily activities (p = 0.05). At similar angina levels, women had significantly lower QoL scores than men. With anti-ischaemic treatment, physical as well as mental and social QoL domains and daily activities improved, together with a relief in angina (trend tests at least p<0.02). This was true for women and men and was more pronounced after revascularisation than with medical treatment. CONCLUSIONS: These findings confirm the relation between angina severity and physical limitation. In addition, they show that anti-ischaemic treatment not only relieves angina and improves physical components of QoL but also improves mental and social domains. This is true for women as well as for men despite the lower overall scores for women.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".