Evidence map›Paper›PMID 27394408›Full record

ArticleThe American journal of cardiology2016

How Well Do Stroke Risk Scores Predict Hemorrhage in Patients With Atrial Fibrillation?

Gene R Quinn, Daniel E Singer, Yuchiao Chang, Alan S Go, Leila H Borowsky, Margaret C Fang

Abstract readComparative Study
In one paragraph

Article in The American journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
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

6 authors.

Gene R QuinnSmith Center for Outcomes Research, Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Daniel E SingerClinical Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts.
Yuchiao ChangClinical Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, California; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California; Department of Medicine, University of California, San Francisco, San Francisco, California; Department of Health Research and Policy, Stanford University School of Medicine, Palo Alto, California.
Leila H BorowskyClinical Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts.
Margaret C FangDepartment of Medicine, University of California, San Francisco, San Francisco, California; Division of Hospital Medicine, University of California, San Francisco, San Francisco, California. Electronic address: mfang@medicine.ucsf.edu.

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
HMO Research Network Cardiovascular Research NetworkU19HL091179 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2007 to 2011
$8.7M
Contemporary Treatment and Outcomes for Atrial Fibrillation in Clinical PracticeRC2HL101589 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S, SINGER, DANIEL EDWIN · 2009 to 2010
$5.0M
EPIDEMIOLOGY OF ANTICOAGULATION IN ATRIAL FIBRILLATIONR01AG015478 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SINGER, DANIEL EDWIN · 1997 to 2005
$4.1M
NCRR NIH HHS UL1 RR024131NHLBI NIH HHS RC2 HL101589NHLBI NIH HHS U19 HL091179NIA NIH HHS R01 AG015478
6 · The paper itself

Abstract

The decision to use anticoagulants for atrial fibrillation depends on comparing a patient's estimated risk of stroke to their bleeding risk. Several of the risk factors in the stroke risk schemes overlap with hemorrhage risk. We compared how well 2 stroke risk scores (CHADS2 and CHA2DS2-VASc) and 2 hemorrhage risk scores (the ATRIA bleeding score and the HAS-BLED score) predicted major hemorrhage on and off warfarin in a cohort of 13,559 community-dwelling adults with AF. Over a cumulative 64,741 person-years of follow-up, we identified a total of 777 incident major hemorrhage events. The ATRIA bleeding score had the highest predictive ability of all the scores in patients on warfarin (c-index of 0.74 [0.72 to 0.76] compared with 0.65 [0.62 to 0.67] for CHADS2, 0.65 [0.62 to 0.67] for CHA2DS2-VASc, and 0.64 [0.61 to 0.66] for HAS-BLED) and in those off warfarin (0.77 [0.74 to 0.79] compared with 0.67 [0.64 to 0.71] for CHADS2, 0.67 [0.64 to 0.70] for CHA2DS2-VASc, and 0.68 [0.65 to 0.71] for HAS-BLED). In conclusion, although CHADS2 and CHA2DS2-VASc stroke scores were better at predicting hemorrhage than chance alone, they were inferior to the ATRIA bleeding score. Our study supports the use of dedicated hemorrhage risk stratification tools to predict major hemorrhage in atrial fibrillation.

Indexed as

International Normalized RatioAgedAnticoagulantsAtrial FibrillationCohort StudiesFemaleFollow-Up StudiesHemorrhageHumansMalePredictive Value of TestsRisk AssessmentRisk FactorsStrokeWarfarinAnticoagulantsWarfarin

Identifiers

PMID27394408
PMCPMC5131634

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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.