February 2021 at a glance: focus on amyloidosis, myocarditis and cardiomyopathy
Bibliographic record
Abstract
Cardiac amyloidosis PrognosisCardiac amyloidosis (CA) is emerging as a major cause of heart failure (HF).[1][2][3] Castiglione et al. 4 reviewed the role of circulating biomarkers as tools to guide diagnosis, prognostic stratification, and therapy in CA.The independent prognostic role of cardiopulmonary exercise testing in patients with light chain or transthyretin CA (TTR-CA) was shown by Nicol et al. 5 in a multicentre study.Both peak oxygen consumption (VO 2 ) ≤13 mL/kg/min and N-terminal pro B-type natriuretic peptide (NT-proBNP) ≥1800 ng/L had independent prognostic value with a hazard ratio (HR) of 2.7 [95% confidence interval (CI) 1.6-4.8]and 2.2 (95% CI 1.1-4.3),respectively.No events occurred in patients with peak VO 2 >13 mL/kg/min and NT-proBNP <1800 ng/L during a median follow-up of 20 months, despite overall 25% mortality and 29% hospitalization rates.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.365 | 0.235 |
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".