Evidence map›Paper›PMID 29187391›Full record

Trial reportJournal of the American Heart Association2017

Implicit Gender Bias and the Use of Cardiovascular Tests Among Cardiologists.

Stacie L Daugherty, Irene V Blair, Edward P Havranek, Anna Furniss, L Miriam Dickinson, Elhum Karimkhani, Deborah S Main, Frederick A Masoudi

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
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

73 citing papers in PubMed, 148 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Stacie L DaughertyDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO stacie.daugherty@ucdenver.edu.
Irene V BlairDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO.
Edward P HavranekDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO.
Anna FurnissAdult and Children Center for Outcomes Research and Delivery Sciences (ACCORDS), University of Colorado, Aurora, CO.
L Miriam DickinsonAdult and Children Center for Outcomes Research and Delivery Sciences (ACCORDS), University of Colorado, Aurora, CO.
Elhum KarimkhaniDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO.
Deborah S MainDepartment of Health and Behavioral Sciences, University of Colorado Denver, Denver, CO.
Frederick A MasoudiDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO.
University of Colorado Denver · USUniversity of Colorado Anschutz Medical Campus · USDenver Health Medical Center · USUniversity of Colorado Boulder · US

Funding

Using values affirmation to reduce the effects of perceived discrimination on hypertension disparitiesR01HL133343 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI DAUGHERTY, STACIE LUTHER · 2016 to 2019
$3.0M
Gender Disparities in Invasive CVD Procedure Use: the Role of Provider BiasK08HL103776 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI DAUGHERTY, STACIE LUTHER · 2010 to 2014
$657k
NHLBI NIH HHS K08 HL103776NHLBI NIH HHS R01 HL133343
6 · The paper itself

Abstract

backgroundPhysicians' gender bias may contribute to gender disparities in cardiovascular testing. We used the Implicit Association Test to examine the association of implicit gender biases with decisions to use cardiovascular tests. METHODS AND

resultsIn 2014, cardiologists completed Implicit Association Tests and a clinical vignette with patient gender randomly assigned. The Implicit Association Tests measured implicit gender bias for the characteristics of strength and risk taking. The vignette represented an intermediate likelihood of coronary artery disease regardless of patient gender: chest pain (part 1) followed by an abnormal exercise treadmill test (part 2). Cardiologists rated the likelihood of coronary artery disease and the usefulness of stress testing and angiography for the assigned patient. Of the 503 respondents (9.3% of eligible; 87% male, median age of 45 years, 58% in private practice), the majority associated strength or risk taking implicitly with male more than female patients. The estimated likelihood of coronary artery disease for both parts of the vignette was similar by patient gender. The utility of secondary stress testing after an abnormal exercise treadmill test was rated as "high" more often for female than male patients (32.8% versus 24.3%,

conclusionsCardiologists have varying degrees of implicit gender bias. This bias explained some, but not all, of the gender variability in simulated clinical decision-making for suspected coronary artery disease.

Indexed as

CardiologistsClinical Decision-MakingHealthcare DisparitiesExercise TestHumansSex DistributionSex FactorsUnited Statesangiographygender disparitiesimplicit biasstress testing

Identifiers

PMID29187391
PMCPMC5779009
OpenAlexW2769597399

What OpenQuestion holds

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LicenceCC BY-NC
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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.