Evidence map›Paper›PMID 38137109›Full record

ArticleBrain sciences2023

Neurocognitive Correlates of Clinical Decision Making: A Pilot Study Using Electroencephalography.

Serkan Toy, Somayeh B Shafiei, Sahin Ozsoy, James Abernathy, Eda Bozdemir, Kristofer K Rau, Deborah A Schwengel

Abstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Serkan ToyDepartments of Basic Science Education & Health Systems and Implementation Science, Virginia Tech Carilion School of Medicine, Roanoke, VA 24016, USA.ORCID 0000-0001-7758-257X
Somayeh B ShafieiIntelligent Cancer Care Laboratory, Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-9256-6284
Sahin OzsoyBioSoftPro, LLC, Kensington, MD 20895, USA.
James AbernathyDepartment of Anesthesiology and Critical Care Medicine, The Johns Hopkins University, 1800 Orleans Street, Baltimore, MD 21287, USA.
Eda BozdemirDepartment of Pathology, Yale School of Medicine, New Haven, CT 06520, USA.
Kristofer K RauDepartment of Basic Science Education, Virginia Tech Carilion School of Medicine, Roanoke, VA 24016, USA.
Deborah A SchwengelDepartment of Anesthesiology and Critical Care Medicine, The Johns Hopkins University, 1800 Orleans Street, Baltimore, MD 21287, USA.

Funding

Johns Hopkins University N/A
6 · The paper itself

Abstract

The development of sound clinical reasoning, while essential for optimal patient care, can be quite an elusive process. Researchers typically rely on a self-report or observational measures to study decision making, but clinicians' reasoning processes may not be apparent to themselves or outside observers. This study explored electroencephalography (EEG) to examine neurocognitive correlates of clinical decision making during a simulated American Board of Anesthesiology-style standardized oral exam. Eight novice anesthesiology residents and eight fellows who had recently passed their board exams were included in the study. Measures included EEG recordings from each participant, demographic information, self-reported cognitive load, and observed performance. To examine neurocognitive correlates of clinical decision making, power spectral density (PSD) and functional connectivity between pairs of EEG channels were analyzed. Although both groups reported similar cognitive load (

Indexed as

clinical reasoningdecision makingelectroencephalogrammedical educationneurocognitive evidence

Identifiers

PMID38137109
PMCPMC10741622

What OpenQuestion holds

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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.