Evidence map›Paper›PMID 28363805›Full record

ArticleJournal of cardiac failure2017

Evidence of Cognitive Bias in Decision Making Around Implantable-Cardioverter Defibrillators: A Qualitative Framework Analysis.

Daniel D Matlock, Jacqueline Jones, Carolyn T Nowels, Amy Jenkins, Larry A Allen, Jean S Kutner

Abstract read
In one paragraph

Article in Journal of cardiac failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. The Dutch Implantable Cardioverter-Defibrillator Decision Aid in Clinical Practice: A Stepped-Wedge Randomized Controlled Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Trial
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  11. TheJournal of the American Heart Association · 2017
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Daniel D MatlockColorado Cardiovascular Outcomes Research Consortium, University of Colorado School of Medicine, Aurora, Colorado. Electronic address: daniel.matlock@ucdenver.edu.
Jacqueline JonesUniversity of Colorado School of Nursing, Aurora, Colorado.
Carolyn T NowelsDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado.
Amy JenkinsColorado Cardiovascular Outcomes Research Consortium, University of Colorado School of Medicine, Aurora, Colorado.
Larry A AllenColorado Cardiovascular Outcomes Research Consortium, University of Colorado School of Medicine, Aurora, Colorado.
Jean S KutnerDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado.

Funding

Implanted Defibrillators and Older Adults: A Model of Decisions and TechnologiesK23AG040696 · NIA · UNIVERSITY OF COLORADO DENVER · PI MATLOCK, DANIEL D · 2011 to 2015
$716k
NIA NIH HHS K23 AG040696
6 · The paper itself

Abstract

backgroundStudies have demonstrated that patients with primary prevention implantable cardioverter-defibrillators (ICDs) often misunderstand the ICD. Advances in behavioral economics demonstrate that some misunderstandings may be due to cognitive biases. We aimed to explore the influence of cognitive bias on ICD decision making. METHODS AND

resultsWe used a qualitative framework analysis including 9 cognitive biases: affect heuristic, affective forecasting, anchoring, availability, default effects, halo effects, optimism bias, framing effects, and state dependence. We interviewed 48 patients from 4 settings in Denver. The majority were male (n = 32). Overall median age was 61 years. We found frequent evidence for framing, default, and halo effects; some evidence of optimism bias, affect heuristic, state dependence, anchoring and availability bias; and little or no evidence of affective forecasting. Framing effects were apparent in overestimation of benefits and downplaying or omitting potential harms.

conclusionsWe found evidence of cognitive bias in decision making for ICD implantation. The majority of these biases appeared to encourage ICD treatment.

Indexed as

CognitionDecision MakingQualitative ResearchAdultAgedDefibrillators, ImplantableFemaleHeart FailureHumansMaleMiddle AgedRetrospective StudiesCatheter ablation and implantable cardioverter-defibrillatorhealth servicesheart failurequality and outcomessudden cardiac death

Identifiers

PMID28363805
PMCPMC5617787

What OpenQuestion holds

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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.