Epidemiology of Asymptomatic Pre-heart Failure: a Systematic Review
Bibliographic record
Abstract
PURPOSE OF REVIEW: To quantify the prevalence of asymptomatic pre-heart failure (pre-HF), progression to more severe stages, and associated mortality. RECENT FINDINGS: A systematic review was conducted between 01 January 2010 and 12 March 2020 (PROSPERO: CRD42020176141). Data of interest included prevalence, disease progression, and mortality rates. In total, 1030 sources were identified, of which, 12 reported on pre-HF (using the ACC/AHA definition for stage B HF) and were eligible. Prevalence estimates of pre-HF ranged from 11 to 42.7% (10 sources) with higher estimates found in the elderly, in patients with hypertension, and in men. Three studies reported on disease progression with follow-up ranging from 13 months to 7 years. The incidence of symptomatic HF (HF/advanced HF) ranged from 0.63 to 9.8%, and all-cause mortality from 1.6 to 5.4%. Further research is required to investigate whether early detection and intervention can slow or stop the progression from asymptomatic to symptomatic HF.
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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".