Comparison of EQ-5D and 15D instruments for assessing the health-related quality of life in cardiac surgery patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIMS: Patient-centred outcomes can be measured with different instruments. We compared the performance of two health-related quality-of-life (HRQoL) measures, EQ-5D and 15D, in patients undergoing elective coronary artery bypass grafting (CABG). METHODS AND RESULTS: Patients who were admitted for elective CABG in Kuopio University Hospital Finland in 2012-14 and had completed both instruments concurrently as part of the admission process (n = 182). Follow-up was conducted by postal survey 12 months after the CABG operation. The validity, agreement, and responsiveness to change of both instruments were examined. The mean baseline HRQoL index scores obtained by the EQ-5D and the 15D were 0.795 and 0.859, respectively (P < 0.001 for difference). The agreement between instruments was poor (Spearman's rho = 0.449; P < 0.001). Observed ceiling effects at baseline for the EQ-5D and 15D were 31.9 and 4.4%, respectively. EQ-5D was able to discriminate distinct Canadian Cardiovascular Society groups. During the 1-year follow-up, clinically important improvement was observed in 39.6 and 53.3% of patients with the EQ-5D and the 15D, respectively. However, with the 15D, the number of operated patients required to produce one additional quality-adjusted life year (QALY) was more than twice as high compared with the EQ-5D. CONCLUSION: EQ-5D and 15D do not appear to be interchangeable when patient-centred outcomes in CABG patients are assessed. The EQ-5D seems to have better discriminative power and known-group validity, whereas the 15D is more sensitive to change over time. These instruments lead to significantly different estimates concerning the number of QALYs gained.
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.
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 | 0.068 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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