Delays in Referral and Enrolment Are Associated With Mitigated Benefits of Cardiac Rehabilitation After Coronary Artery Bypass Surgery
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Cardiac rehabilitation (CR) is recommended after coronary artery bypass graft surgery; however, the consequences of longer wait times to start CR have not been elucidated. METHOD AND RESULTS: Cardiopulmonary, demographic, and anthropometric assessments were conducted before and after 6 months of CR in consecutively enrolled patients from January 1995 to October 2012. Wait times were ascertained from referral forms and charts. Neighborhood characteristics were ascertained using census data and cross-referencing with patients' home geographic location. Among 6497 post- coronary artery bypass graft participants, mean and median total wait time (time from surgery to first exercise session) was 101.1±47.9 and 80 days, respectively. In multiple linear regression, correlates of longer total wait time and the 2 wait-time phases, time from surgery to CR referral and time from CR referral to first exercise session, were determined. Factors influencing longer wait times included female sex, greater age, being employed, less social support, longer drive time to CR, lower neighborhood socioeconomic status, higher systolic blood pressure, abdominal obesity, and a complex medical history. After adjusting for correlates of delayed entry, longer wait time for each of the total and 2 wait-time phases was significantly associated with less improvement in cardiopulmonary fitness (VO2peak; β=-0.165, P<0.001), body fat percentage (β=0.032, P<0.02), resting heart rate (β=0.066, P<0.001), and poorer attendance to CR classes (β=-0.081, P<0.001) and completion rate (β=2.741, P<0.001). CONCLUSIONS: Strategies for timely access to CR at each phase of the process are important given the negative impact that wait time has on key clinical outcomes. This is relevant because optimizing VO2peak and attendance to CR has been shown to confer a mortality advantage.
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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 | 0.003 | 0.001 |
| 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 it