Bibliographic record
Abstract
Atrial and ventricular arrhythmias confer a substantial risk of mortality and morbidity in patients with heart failure (HF). The epidemiology, clinical impact and treatment of arrhythmias in HF are thoroughly described in a joint consensus document.1 Geographic differences in HF clinical trials are reviewed and discussed in two articles.2, 3 Another review regards the epidemiologic characteristics of HF in Asia,4 extending previous data from the same continent.5-8 Two articles concern acute HF. The first evaluates the prevalence of pulmonary edema in contemporary trials.9 The second regards the pathophysiology and prognostic impact of acute HF in a specific condition, the acute aortic syndrome.10 High heterogeneity exists in HF with preserved ejection fraction.11 A new classification is proposed based on the data from two major clinical trials and its potential to identify patients with a better response to treatment is shown.12 Two articles about cardiac resynchronization therapy (CRT) from MADIT-CRT regard its benefit in the patients without a history of advanced HF13 and its effects on arrhythmias.14 Other articles regard biomarkers, vasodilator treatment and a recent clinical trials update. Enjoy reading!
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.
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 | 0.009 |
| 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 | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.342 | 0.253 |
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".