The Canadian Heart Failure (CAN-HF) Registry: A Canadian Multicentre, Retrospective Study of Inpatients With Heart Failure
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
Background: Despite recent advances in the management of patients with heart failure (HF), national data regarding the quality of care provided are lacking. The Canadian Heart Failure (CAN-HF) Registry was designed to obtain contemporary, real-world data describing the management of patients with HF. Methods: Quality of care in patients admitted for acute HF (AHF), in relation to guidelines and national HF quality indicators, was assessed as part of the CAN-HF Registry study. Results: A total of 943 patients admitted to the hospital with AHF were included in this analysis. Patient weight was not recorded on admission for 26% of patients, with daily weight being captured in only 61% of patients. Only 54% of inpatients received left ventricular ejection fraction assessment while hospitalized. Patient education was documented in 31% of patients prior to discharge, with 51% receiving instructions to follow up with a specialist upon discharge, and 2% being referred to a cardiac rehabilitation program. Although use of guideline-directed medical therapy increased during hospitalization, the proportions of patients receiving renin-angiotensin-aldosterone inhibition (63%), beta-blockade (80%), and mineralocorticoid receptor antagonist (40%) upon discharge indicate that potential room for improvement exists. Conclusions: The CAN-HF Registry study demonstrated a potential quality-of-care gap in the management of patients admitted with AHF.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it