The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Recognizing and reducing cognitive bias in clinical and forensic neurology
Open accessAbstract
In medicine, cognitive errors form the basis of bias in clinical practice. Several types of bias are common and pervasive, and may lead to inaccurate diagnosis or treatment. Forensic and clinical neurology, even when aided by current technologies, are still dependent on cognitive interpretations, and therefore prone to bias. This article discusses 4 common biases that can lead the clinician astray. They are confirmation bias (selective gathering of and neglect of contradictory evidence); base rate bias (ignoring or misusing prevailing base rate data); hindsight bias (oversimplification of past causation); and good old days bias (the tendency for patients to misremember and exaggerate their preinjury functioning). We briefly describe strategies adopted from the field of psychology that could minimize bias. While debiasing is not easy, reducing such errors requires awareness and acknowledgment of our susceptibility to these cognitive distortions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Human cognitive biases can be mitigated through a combination of awareness, education, and structured approaches [20].”
From Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models: simulation study (2024) · cites this paper as [20]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
(2011) · Cited by 14,317
Confirmation Bias: A Ubiquitous Phenomenon in Many Guises
Nickerson, R. S. (1998) · Review of General Psychology · doi:10.1037/1089-2680.2.2.175 · Cited by 7,267
The Importance of Cognitive Errors in Diagnosis and Strategies to Minimize Them
Croskerry, P. (2003) · Academic Medicine · doi:10.1097/00001888-200308000-00003 · Cited by 1,675
Systematic Literature Review of Imaging Features of Spinal Degeneration in Asymptomatic Populations
Brinjikji, W., Luetmer, P. H., Comstock, B. A., Bresnahan, B. W., Chen, L. E., Deyo, R. A., Halabi, S. S., Turner, J. A., Avins, A. L., James, K., et al. (2014) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4173 · Cited by 1,258
Delgado-Rodríguez, M., & Llorca, J. (2004) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2003.008466 · Cited by 1,064
Achieving Quality in Clinical Decision Making: Cognitive Strategies and Detection of Bias
Croskerry, P. (2002) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2002.tb01574.x · Cited by 938
Achieving quality in clinical decision making: cognitive strategies and detection of bias
Croskerry, P. (2002) · Academic Emergency Medicine · doi:10.1197/aemj.9.11.1184 · Cited by 938
Simple tools for understanding risks: from innumeracy to insight
Gigerenzer, G., & Edwards, A. (2003) · BMJ · doi:10.1136/bmj.327.7417.741 · Cited by 776
The forensic confirmation bias: Problems, perspectives, and proposed solutions.
Kassin, S. M., Dror, I. E., & Kukucka, J. (2013) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2013.01.001 · Cited by 634
From Mindless to Mindful Practice — Cognitive Bias and Clinical Decision Making
Croskerry, P. (2013) · New England Journal of Medicine · doi:10.1056/nejmp1303712 · Cited by 572
Roese, N. J., & Vohs, K. D. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612454303 · Cited by 457
Cognitive debiasing 2: impediments to and strategies for change
Croskerry, P., Singhal, G., & Mamede, S. (2013) · BMJ Quality & Safety · doi:10.1136/bmjqs-2012-001713 · Cited by 419
Effect of Outcome on Physician Judgments of Appropriateness of Care
Caplan, R. A. (1991) · JAMA · doi:10.1001/jama.1991.03460150061024 · Cited by 383
Lilienfeld, S. O., Ammirati, R. J., & Landfield, K. (2009) · Perspectives on Psychological Science · doi:10.1111/j.1745-6924.2009.01144.x · Cited by 352
Are forensic experts biased by the side that retained them?
Murrie, D. C., Boccaccini, M. T., Guarnera, L. A., & Rufino, K. A. (2013) · Psychological Science · doi:10.1177/0956797613481812 · Cited by 286
On wearing two hats: role conflict in serving as both psychotherapist and expert witness
Strasburger, L. H., Gutheil, T. G., & Brodsky, A. (1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.4.448 · Cited by 271
“Good Old Days” Bias Following Mild Traumatic Brain Injury
Iverson, G. L., Lange, R. T., Brooks, B. L., & Rennison, V. L. A. (2009) · The Clinical Neuropsychologist · doi:10.1080/13854040903190797 · Cited by 264
Gunstad, J., & Suhr, J. A. (2001) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617701733061 · Cited by 255
Effect of interpretive bias on research evidence
Kaptchuk, T. J. (2003) · BMJ · doi:10.1136/bmj.326.7404.1453 · Cited by 222
Detection of Inadequate Effort on Neuropsychological Testing: A Meta-Analytic Update and Extension
Sollman, M. J., & Berry, D. T. R. (2011) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acr066 · Cited by 153
Dror, I. E., Champod, C., Langenburg, G., Charlton, D., Hunt, H., & Rosenthal, R. (2010) · Forensic Science International · doi:10.1016/j.forsciint.2010.10.013 · Cited by 135
Durant, W., & Durant, A. (1968) · Cited by 129
Brooks, B. L., Kadoura, B., Turley, B., Crawford, S., Mikrogianakis, A., & Barlow, K. M. (2013) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/act083 · Cited by 126
How neurologists think: A cognitive psychology perspective on missed diagnoses
Vickrey, B. G., Samuels, M. A., & Ropper, A. H. (2009) · Annals of Neurology · doi:10.1002/ana.21907 · Cited by 96
The Consequences of the Hindsight Bias in Medical Decision Making
Arkes, H. R. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413489988 · Cited by 57
Conduct and its consequences: Attempts at debiasing jury judgments.
Smith, A. C., & Greene, E. (2005) · Law and Human Behavior · doi:10.1007/s10979-005-5692-5 · Cited by 46
Neale, G., Hogan, H., & Sevdalis, N. (2011) · Clinical Medicine · doi:10.7861/clinmedicine.11-4-317 · Cited by 42
Don, A. S., & Carragee, E. J. (2008) · The Spine Journal · doi:10.1016/j.spinee.2008.11.002 · Cited by 39
Willis, B. H. (2012) · BMJ Open · doi:10.1136/bmjopen-2011-000746 · Cited by 38
Junior doctors and patient safety: evaluating knowledge, attitudes and perception of safety climate
Durani, P., Dias, J. J., Singh, H. P., et al. (2012) · BMJ Quality & Safety · doi:10.1136/bmjqs-2012-001009 · Cited by 33
The Presence of Outcome Bias in Emergency Physician Retrospective Judgments of the Quality of Care
Gupta, M., Schriger, D. L., & Tabas, J. A. (2011) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2010.10.004 · Cited by 24
Retrospective bias in expert evidence: Effects on patient and doctor safety
Annunziata, A. (2009) · Emergency Medicine Australasia · doi:10.1111/j.1742-6723.2009.01155.x · Cited by 8
Medical legal consultation in neurologic practice
Woodcock, J. H. (2014) · Neurology Clinical Practice · doi:10.1212/01.cpj.0000437696.56006.94 · Cited by 2
Research works printed but not linked: 2
- Morris M. Quotable Churchill. Chichester, UK: Summersdale Publishers; 2014.
- Young D. Great Funny Quotes. Round Rock, TX: Wind Runner Press; 2012.
Cited by
Sorted by citations
Believing in Overcoming Cognitive Biases
(2020) · AMA Journal of Ethics · doi:10.1001/amajethics.2020.773 · Cited by 80
Ke, Y., Yang, R., Lie, S. A., Lim, T. X. Y., Ning, Y., Li, I., Abdullah, H. R., Ting, D. S. W., & Liu, N. (2024) · Journal of Medical Internet Research · doi:10.2196/59439 · Cited by 64
“Human cognitive biases can be mitigated through a combination of awareness, education, and structured approaches [20].”
Metadata
- Authors
- Satya-Murti, S., & Lockhart, J.
- Affiliations
- Health Policy Consultant (SS-M), Santa Maria, CA; and Forensic Services Division (JL), California Department of State Hospitals, Sacramento.
- ORCID
- Lockhart, Joseph
- Venue
- Neurology Clinical Practice
- Published
- 2015-10
- Volume
- 5
- Issue
- 5
- Pages
- 389-396
- ISSN
- 2163-0402 (ISSN-L)
- 2163-0933
- PMC
- PMC5762024
- OpenAlex
- W2178302034
- Cited by
- 42
- References
- 35
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 5 · 2023: 10 · 2022: 4 · 2021: 5 · 2020: 3 · 2018: 2 · 2017: 1
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Neurology Clinical Practice (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
- Keywords
- cognitive biases, confirmation bias, base rate neglect, hindsight bias, bias mitigation, forensic neurology, clinical neurology, diagnostic errors, memory bias
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review