January 2023 at a Glance: Focus on Acute Heart Failure and Medical Therapy
Bibliographic record
Abstract
Several factors may favour development of heart failure (HF).1,2 Shi et al. 3 assessed the association between clonal haematopoiesis of indeterminate potential (CHIP) and incident HF.A total of 374 participants with incident HF from the Prevention of Renal and Vascular End-stage Disease (PREVEND) cohort were matched 1:1 by age and sex with healthy controls.The frequency of CHIP was overlapping between the two groups and CHIP was not significantly associated with incident HF at multivariable Cox regression models.However, the association was modified by age (p for interaction = 0.002) and CHIP was more frequent in the case cohort compared to controls among those younger than 65 years.Miranda et al. 4 compared exercise haemodynamics between 24 adult patients post-Fontan palliation, 48 patients with HF and preserved ejection fraction (HFpEF) and 48 subjects with non-cardiac dyspnoea (NCD).Resting and exercise pulmonary artery wedge pressure (PAWP) was lower in the Fontan group than HFpEF, but higher than NCD.However, there were no differences in ΔPAWP/ΔQs ratios between post-Fontan and HFpEF patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.378 | 0.239 |
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".