Exercise training for patients with chronic heart failure reduced mortality and cardiac events and improved quality of life.
Bibliographic record
Abstract
Exercise training for patients with chronic heart failure reduced mortality and cardiac events and improved quality of life QUESTIONIn patients with chronic heart failure, can long-term exercise training reduce all-cause mortality and cardiac events and improve quality of life?DESIGN A randomized, unblinded, controlled trial with a mean follow-up of 3.4 years. SETTINGA cardiology institute and hospital in Italy. PATIENTSA total of 110 patients with stable chronic heart failure were screened, and 99 (mean age, 55 years; 88% men) were studied.Other inclusion criteria were left ventricular ejection fraction of 40 and sinus rhythm.Exclusion criteria were unstable angina, recent acute myocardial infarction, decompensated congestive heart failure, hemodynamically important valvular heart disease, severe chronic pulmonary illness, uncontrolled hypertension, renal insufficiency, or orthopedic or neurologic limitations.Followup was 95%.
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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 | 0.000 | 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 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".