Evidence map›Paper›PMID 39019498›Full record

SynthesisOpen heart2024

Sex-specific comparative outcomes between oral anticoagulants in patients with atrial fibrillation: a systematic review and meta-analysis.

Jan D Chobanov, Zixuan Wang, Kenneth K C Man, Edil Dayib, Gregory Y H Lip, Aroon D Hingorani, Wai K Leung, Ian C K Wong, Pajaree Mongkhon, Wallis C Y Lau

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Open heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

10 authors.

Jan D ChobanovResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK.ORCID 0009-0002-5904-1897
Zixuan WangDepartment of Non-Communicable Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene and Tropical Medicines, London, UK.
Kenneth K C ManResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK.
Edil DayibResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK.
Gregory Y H LipLiverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Aroon D HingoraniInstitute of Cardiovascular Sciences, University College London and University College London British Heart Foundation Research Accelerator, London, UK.
Wai K LeungDepartment of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Ian C K WongResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK.
Pajaree MongkhonUnit of Excellence on Cardiovascular Archive Research and Clinical Epidemiology, School of Pharmaceutical Sciences, University of Phayao, Phayao, Thailand wallis.lau@ucl.ac.uk pajaree.mo@up.ac.th.
Wallis C Y LauResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK wallis.lau@ucl.ac.uk pajaree.mo@up.ac.th.ORCID 0000-0003-2320-0470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWomen with atrial fibrillation (AF) are under-represented in randomised controlled trials (RCTs) of direct oral anticoagulants (DOACs). This systematic review and meta-analysis of RCTs and observational studies examined sex-specific outcomes of DOACs in AF.

methodsPubMed, Embase, Web of Science and Cochrane Library were searched from January 2008 to November 2022. Sex-specific comparative outcomes of stroke/systemic embolism (SE), major bleeding, intracranial haemorrhage (ICH) and gastrointestinal bleeding (GIB) between oral anticoagulants were pooled using random effects models. P values for interaction were calculated to examine differences in results between sexes. RCTs and observational studies were meta-analysed separately.

results5 RCTs and 33 observational studies were included, totalling 1 085 931 women and 1 387 123 men. Meta-analyses showed that for both sexes, DOAC versus warfarin was generally associated with lower risk of stroke/SE, major bleeding and ICH; in DOAC-DOAC comparisons, rivaroxaban versus dabigatran had higher GIB risk. The only sex-specific difference observed was that when compared with warfarin, women had higher GIB risk with rivaroxaban (women: pooled risk ratio (pRR)=1.34, 95% CI=1.18 to 1.51; men: pRR=0.97, 95% CI=0.85 to 1.10; p value for interaction (p for interaction)<0.001) and possibly dabigatran (women: pRR=1.25, 95% CI=0.92 to 1.70; men: pRR=0.83, 95% CI=0.72 to 0.97; p-for-interaction=0.02). The sex difference in GIB remained for rivaroxaban when a Bonferroni-corrected significance level was used (α=0.003). No sex-specific GIB data for apixaban and edoxaban was available for the meta-analysis.

conclusionsFor both sexes, DOACs generally demonstrated favourable effectiveness and safety over warfarin. However, observational data suggested that women may have higher GIB risk with rivaroxaban and possibly dabigatran than warfarin. Further studies are warranted to verify our findings and elucidate sex-specific GIB risk with apixaban and edoxaban, of which the data is currently lacking. PROSPERO REGISTRATION NUMBER: CRD42022325027.

Indexed as

AnticoagulantsAtrial FibrillationStrokeAdministration, OralFemaleHemorrhageHumansMaleRisk AssessmentRisk FactorsSex FactorsTreatment OutcomeAnticoagulantsAtrial FibrillationMeta-AnalysisStrokeSystematic Reviews as Topic

Identifiers

PMID39019498
PMCPMC11253745

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.