Evidence map›Paper›PMID 39076938›Full record

ArticleReviews in cardiovascular medicine2024

Gender Differences in Patients with Atrial Fibrillation Receiving Oral Anticoagulants.

Jo-Nan Liao, Yu-Shan Huang, Chuan-Tsai Tsai, Ling Kuo, Su-Jung Chen, Ta-Chuan Tuan, Tzeng-Ji Chen, Shih-Ann Chen, Tze-Fan Chao

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Jo-Nan LiaoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.
Yu-Shan HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.
Chuan-Tsai TsaiDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.
Ling KuoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.
Su-Jung ChenInstitute of Public Health and School of Medicine, National Yang Ming Chiao Tung University, 30010 Taipei, Taiwan.
Ta-Chuan TuanDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.
Tzeng-Ji ChenDepartment of Family Medicine, Taipei Veterans General Hospital Hsinchu Branch, 31064 Zhudong, Taiwan.
Shih-Ann ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.
Tze-Fan ChaoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, 11217 Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gender is a well-recognized risk factor in atrial fibrillation (AF)-related ischemic stroke. The association of gender with the use of oral anticoagulants (OACs) and prognosis remains unknown. Methods: The National Health Insurance Research Database in Taiwan identified 203,775 patients with AF aged Results: Significant differences were found in baseline characteristics between sexes. Female patients with AF were older and had higher Conclusions: This nationwide cohort demonstrated the differences between male and female patients with AF, including baseline characteristics, risk profiles, and medication use. Despite great differences in baseline demographic data, NOAC was associated with better clinical outcomes compared to warfarin in both sexes, and females benefited more than males in preventing ischemic stroke using NOACs.

Indexed as

atrial fibrillationgender differenceNOAC

Identifiers

PMID39076938
PMCPMC11263856

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Registered trials

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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.