Evidence map›Paper›PMID 40102708›Full record

ReviewThe Korean journal of internal medicine2025

Sex differences in diagnosis and treatment of heart failure: toward precision medicine.

Soo Yong Lee, Seong-Mi Park

Abstract readReview
In one paragraph

Review in The Korean journal of internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Biomarkers in Heart Failure: A Review and a Wish.International journal of molecular sciences · 2025
    Review
  5. 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.

Soo Yong LeeDivision of Cardiology, Department of Internal Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea.
Seong-Mi ParkDivision of Cardiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are sex-related differences in the pathophysiology and phenotype of heart failure (HF) as well as the pharmacokinetics and pharmacodynamics of drugs between women and men due to biological differences, such as heart and vessel size, response to blood volume and pressure, body water and muscle compositions, and dominant sex hormones. Therefore, target drug doses required to achieve the same clinical effect differ between the sexes, while there may also be sex-related differences in side effects of a given drug at the same dose. These biological differences have been reflected in the results of clinical trials. Moreover, women have been underrepresented in pharmacological therapy trials as well as having lower device implantation rates than men. Therefore, the currently recommended target doses of medications based on clinical trials may not be appropriate for women. Although guidelines for HF have been standardized since the last major revision in 2021, most do not differentiate by sex. This review focuses on evidence regarding sex-related differences in multiple aspects of HF, including epidemiology, pathophysiology, clinical features, treatment, and prognosis, highlighting the need for sex-specific treatment guidelines.

Indexed as

Cardiovascular AgentsHealthcare DisparitiesHealth Status DisparitiesHeart FailurePrecision MedicineFemaleHumansMalePredictive Value of TestsRisk FactorsSex FactorsTreatment OutcomeCardiovascular AgentsHeart failureSex differencesWomen

Identifiers

PMID40102708
PMCPMC11938682

What OpenQuestion holds

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LicenceCC BY-NC
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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.