Evidence map›Paper›PMID 25107386›Full record

ArticleThe American journal of medicine2014

Bleeding rates in Veterans Affairs patients with atrial fibrillation who switch from warfarin to dabigatran.

Mary S Vaughan Sarrazin, Michael Jones, Alexander Mazur, Elizabeth Chrischilles, Peter Cram

Abstract read
In one paragraph

Article in The American journal of medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
–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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
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  7. Observational
  8. Article
  9. Racial and sex differences in optimizing anticoagulation therapy for patients with atrial fibrillation.American heart journal plus : cardiology research and practice · 2022
    Article
  10. Review
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  12. Practice-derived data on non-vitamin K antagonist oral anticoagulant therapy to complement observations from randomized trials.European heart journal supplements : journal of the European Society of Cardiology · 2020
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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

5 authors.

Mary S Vaughan SarrazinComprehensive Access and Delivery Research and Evaluation Center (CADRE), Iowa City VA Medical Center, Iowa City; Department of Internal Medicine, Roy and Lucille J. Carver College of Medicine, University of Iowa, Iowa City. Electronic address: mary-vaughan-sarrazin@uiowa.edu.
Michael JonesComprehensive Access and Delivery Research and Evaluation Center (CADRE), Iowa City VA Medical Center, Iowa City; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City.
Alexander MazurDepartment of Internal Medicine, Roy and Lucille J. Carver College of Medicine, University of Iowa, Iowa City.
Elizabeth ChrischillesDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City.
Peter CramDepartment of Medicine, University of Toronto, Toronto, Ont., Canada.

Funding

Comparative effectiveness of dabigatran and warfarin for stroke prevention in atrK18HS021992 · AHRQ · UNIVERSITY OF IOWA · PI VAUGHAN SARRAZIN, MARY S · 2012 to 2013
$306k
AHRQ HHS K18 HS021992AHRQ HHS K18HS021992
6 · The paper itself

Abstract

objectivesClinical trial data suggest that dabigatran and warfarin have similar rates of major bleeding but higher rates of gastrointestinal bleeding. These findings have not been evaluated outside of a clinical trial. We evaluated the relative risks of any, gastrointestinal, intracranial, and other bleeding for Veterans Affairs patients who switched to dabigatran after at least 6 months on warfarin, compared with patients who continued on warfarin.

methodsWe used national Veterans Affairs administrative encounter and pharmacy data from fiscal years 2010-2012 to identify 85,344 patients with atrial fibrillation who had been taking warfarin for at least 180 days before June 2011, of whom 1394 (1.7%) received dabigatran (150 mg) during the next 15 months. Dates of the first occurrence of each type of bleed and dates of death from June 2011 to September 2012 were determined. Baseline and time-dependent patient characteristics were identified, including comorbid conditions, stroke and bleeding risk scores, and time in therapeutic range for international normalized ratios. Marginal structural models were used to address selection bias in the longitudinal observational data. Weighted logistic regression models were fit using generalized estimating equations and reflected baseline and time-dependent covariates and weekly indicators of anticoagulant type (warfarin or dabigatran).

resultsCompared with patients who never used dabigatran, patients who used dabigatran at least once were younger, were more likely to be white, had lower international normalized ratio time in therapeutic range on warfarin, had lower stroke risk scores, and had similar bleeding risk scores. Overall, 10,734 patients experienced bleeding events, including 131 events after dabigatran use. The risk-adjusted rate of any bleeding was higher with dabigatran compared with warfarin, which was largely driven by a 54% higher risk of gastrointestinal bleeding with dabigatran. Rates of intracranial, other bleeding, and death were similar for dabigatran and warfarin.

conclusionsDabigatran may increase the likelihood of gastrointestinal bleeds.

Indexed as

AgedAged, 80 and overAnticoagulantsAntithrombinsAtrial FibrillationBenzimidazolesbeta-AlanineCohort StudiesDabigatranDrug SubstitutionFemaleGastrointestinal HemorrhageHemorrhageHumansInternational Normalized RatioIntracranial HemorrhagesAnticoagulantsAntithrombinsBenzimidazolesbeta-AlanineDabigatranWarfarinAnticoagulationAntithromboticAtrial fibrillationStroke

Identifiers

PMID25107386
PMCPMC7437526

What OpenQuestion holds

Textmetadata
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.