Evidence map›Paper›PMID 34108678›Full record

ReviewNature reviews. Cardiology2021

Towards precision medicine in heart failure.

Chad S Weldy, Euan A Ashley

Abstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Artificial intelligence in heart failure.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. The impact of the Social Exposome in Cardiovascular Health and Disease.Journal of precision medicine (Amsterdam, Netherlands) · 2025
    Article
  9. Review
  10. Article
  11. Evidence-Based Medicine: Past, Present, Future.Journal of clinical medicine · 2025
    Review
  12. Article
  13. Deciphering epistatic genetic regulation of cardiac hypertrophy.medRxiv : the preprint server for health sciences · 2025
    Article
  14. Review
  15. Regulatory roles of PIWI-interacting RNAs in cardiovascular disease.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Chad S WeldyDepartment of Medicine, Division of Cardiology, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-4652-6422
Euan A AshleyDepartment of Medicine, Division of Cardiology, Stanford University, Palo Alto, CA, USA. euan@stanford.edu.ORCID http://orcid.org/0000-0001-9418-9577
Palo Alto University · USStanford Health Care · US

Funding

A transcriptional network which governs smooth muscle transition is mediated by causal coronary artery disease gene PDGFDF32HL160067 · NHLBI · STANFORD UNIVERSITY · PI WELDY, CHAD S · 2021 to 2022
$135k
NHLBI NIH HHS F32 HL160067NHLBI NIH HHS L30 HL159413
6 · The paper itself

Abstract

The number of therapies for heart failure (HF) with reduced ejection fraction has nearly doubled in the past decade. In addition, new therapies for HF caused by hypertrophic and infiltrative disease are emerging rapidly. Indeed, we are on the verge of a new era in HF in which insights into the biology of myocardial disease can be matched to an understanding of the genetic predisposition in an individual patient to inform precision approaches to therapy. In this Review, we summarize the biology of HF, emphasizing the causal relationships between genetic contributors and traditional structure-based remodelling outcomes, and highlight the mechanisms of action of traditional and novel therapeutics. We discuss the latest advances in our understanding of both the Mendelian genetics of cardiomyopathy and the complex genetics of the clinical syndrome presenting as HF. In the phenotypic domain, we discuss applications of machine learning for the subcategorization of HF in ways that might inform rational prescribing of medications. We aim to bridge the gap between the biology of the failing heart, its diverse clinical presentations and the range of medications that we can now use to treat it. We present a roadmap for the future of precision medicine in HF.

Indexed as

Heart FailurePrecision MedicineHumans

Identifiers

PMID34108678
PMCPMC12547831
OpenAlexW3171679784

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.