Evidence map›Paper›PMID 42696280›Full record

ArticleJAMA network open2026

Oral Anticoagulants in Patients With Atrial Fibrillation and Advanced CKD Not Requiring Dialysis.

Qiaoxi Chen, Daniel E Singer, Edouard L Fu, Chun-Ting Yang, Kevin Pritchard, Rishi J Desai, Kueiyu Joshua Lin

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Error in Byline.JAMA network open · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Qiaoxi ChenDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Daniel E SingerDivision of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Edouard L FuDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Chun-Ting YangDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Kevin PritchardDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Rishi J DesaiDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Kueiyu Joshua LinDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The net benefit of oral anticoagulants (OACs) in patients with atrial fibrillation (AF) and advanced chronic kidney disease (CKD) not receiving dialysis remains uncertain. Objective: To compare the estimated effectiveness and safety of apixaban compared with warfarin and no OAC use among patients with AF and advanced CKD not receiving dialysis. Design, Setting, and Participants: This retrospective cohort study used a 3-group target trial emulation framework and included patients from Medicare fee-for-service claims (January 1, 2013, to December 31, 2022) and the Optum deidentified Clinformatics Data Mart database (January 1, 2013, to February 28, 2025). Eligible participants had AF, CKD stage 4 or 5, no prior dialysis, and continuous medical and pharmacy coverage. Data analysis was conducted from February 2025 to June 2026. Exposures: Initiation of apixaban or warfarin vs no oral anticoagulation. Main Outcomes and Measures: Primary outcomes were hospitalization for major bleeding, ischemic stroke, and their composite. Propensity score matching weights were used to balance baseline characteristics, and weighted hazard ratios (HRs) and rate differences (RDs) per 1000 person-years (PYs) were estimated. Results: The study included 14 712 apixaban users (7954 female [54.1%]; mean [SD] age, 78.93 [7.35] years), 6335 warfarin users (3148 female [49.7%]; mean [SD] age, 77.47 [7.03] years), and 21 005 nonusers of OACs (10 797 female [51.4%]; mean [SD] age, 79.59 [7.49] years). Compared with nonusers, apixaban was associated with an increased rate of major bleeding (HR, 1.32 [95% CI, 1.11 to 1.58]; RD, 17.16 [95% CI, 2.45 to 31.87] per 1000 PYs) and a lower rate of ischemic stroke (HR, 0.46 [95% CI, 0.32 to 0.66]; RD, -12.67 [95% CI, -20.65 to -4.69] per 1000 PYs), but there was no association with the composite outcome (HR, 1.05 [95% CI, 0.89 to 1.22]; RD, 6.13 [95% CI, -10.61 to 22.87] per 1000 PYs). Warfarin users had a higher rate of major bleeding (HR, 2.44 [95% CI, 2.06 to 2.88]) and no significant diffrence in the rate of ischemic stroke (HR, 0.87 [95% CI, 0.61 to 1.22]), resulting in a higher rate of the composite outcome compared with nonuse (HR, 1.95 [95% CI, 1.69 to 2.26]). Compared with warfarin, apixaban was associated with lower risk of major bleeding (HR, 0.55 [95% CI, 0.46 to 0.65]) and ischemic stroke (HR, 0.50 [95% CI, 0.33 to 0.78]). Conclusions and Relevance: This study found that among patients with AF and advanced CKD not receiving dialysis, anticoagulation was associated with reduced risk of ischemic stroke, but increased risk of bleeding compared with nonuse, suggesting that the trade-off between ischemic stroke reduction and bleeding risk was more favorable for apixaban than for warfarin.

Indexed as

AnticoagulantsAtrial FibrillationPyrazolesPyridonesRenal Insufficiency, ChronicWarfarinAdministration, OralAgedAged, 80 and overFemaleHemorrhageHumansMaleRetrospective StudiesUnited StatesAnticoagulantsapixabanPyrazolesPyridonesWarfarin

Identifiers

PMID42696280
PMCPMC13545674

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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.