Evidence mapPaperPMID 41425993Full record

ReviewFrontiers in cardiovascular medicine2025

Heart failure: mechanistic insights and precision therapeutic strategies.

Fang Zhang, Xiang Zhang, Jing Jian, Xu Zeng, Chao Zheng, Yaxi Zhang, Jinquan Gao

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

7 authors.

Fang ZhangDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.
Xiang ZhangDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.
Jing JianDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.
Xu ZengDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.
Chao ZhengDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.
Yaxi ZhangDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.
Jinquan GaoDepartment of Cardiology, Chongzhou People's Hospital, Chongzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a major global health problem associated with high illness rates, mortality, and healthcare costs. Although advances in diagnosis and therapy have improved outcomes for some patients, effective treatment-especially for HF with preserved ejection fraction (HFpEF)-remains limited. HF develops through complex interactions among neurohormonal activation, metabolic remodeling, mitochondrial dysfunction, inflammation, fibrosis, and microvascular impairment. Recent discoveries in these areas have revealed new molecular and cellular targets that may lead to more precise therapies. Novel pharmacological agents, metabolic modulators, device-based interventions, and regenerative approaches are reshaping the treatment landscape. In addition, personalized strategies such as multi-omics profiling, biomarker-guided management, and artificial intelligence-assisted diagnosis hold promise for better risk prediction and individualized care. However, translating mechanistic discoveries into clinical benefit remains a challenge. Future research integrating molecular insights with clinical phenotyping will be essential to achieve precision treatment and improved outcomes in patients with HF.

Indexed as

fibrosisheart failureinflammationmitochondrial dysfunctionmolecular mechanismsprecision medicine

Identifiers

PMID41425993
PMCPMC12715018

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.