Effect of interpretive bias on research evidence

Kaptchuk, Ted J

doi:10.1136/bmj.326.7404.1453

Cited by 222Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyHealth Sciences Research and Education

Effect of interpretive bias on research evidence

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Kaptchuk, Ted J·2003·BMJ

DOI 10.1136/bmj.326.7404.1453PMC PMC1126323

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Abstract

Doctors are being encouraged to improve their critical appraisal skills to make better use of medical research. But when using these skills, it is important to remember that interpretation of data is inevitably subjective and can itself result in bias.

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Kaptchuk has summarised a number of potential interpretative biases that have become widespread in science reporting, including a confirmation bias, where one tends to evaluate evidence that supports one's beliefs more favourably than evidence that challenges it.
“Kaptchuk54 has summarised a number of potential interpretative biases that have become widespread in science reporting, including a confirmation bias, where one tends to evaluate evidence that supports one’s beliefs more favourably than evidence that challenges it.”
From The limited prosocial effects of meditation: A systematic review and meta-analysis (2018) · cites this paper as [54]

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“…one’s own preconceptions more positively compared to the evidence that challenges these preconceptions (confirmation bias), or the “time will tell” bias that refers to the tendency for different scientists to have different requirements in relation to confirmatory evidence (Kaptchuk, 2003).”
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Authors: Kaptchuk, T. J.
Affiliations: Harvard University (US)
Corresponding author: Kaptchuk, Ted J
ORCID: Kaptchuk, Ted J
Venue: BMJ
Publisher: BMJ
Published: 2003-06-25
Volume: 326
Issue: 7404
Pages: 1453-1455
ISSN: 0007-1447 (ISSN-L)
0959-8138
1468-5833
DOI: 10.1136/bmj.326.7404.1453
PMC: PMC1126323
OpenAlex: W2101782914
Cited by: 222
References: 23
Citations by year: 2026: 1 · 2025: 9 · 2024: 7 · 2023: 5 · 2022: 12 · 2021: 13 · 2020: 14 · 2019: 9 · 2018: 22 · 2017: 12 · 2016: 12 · 2015: 11 · 2014: 8 · 2013: 6 · 2012: 14
FWCI: 7.76
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
Locations: BMJ (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Funders: National Institutes of Health (5r01at000402-04)
National Center for Complementary and Integrative Health (1R01 AT00402-01, R01AT001414)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
Keywords: interpretation bias, critical appraisal
MeSH terms: Data Interpretation, Statistical, Quality Control, Research, Reproducibility of Results, Bias

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