Evidence map›Paper›PMID 41135156›Full record

ArticleJournal of electrocardiology

Non-conscious detection of ST-segment elevation during physician ECG interpretation.

Gregory J DiGirolamo, Nikolaos Kakouros, Federico Sorcini, Sofia Patrizi Sorcini, Jenna Dupell, Erin K Sands, Max P Rosen

Abstract read
In one paragraph

Article in Journal of electrocardiology. 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
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0citing papers in PubMed
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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.

Gregory J DiGirolamoDepartment of Psychology, College of the Holy Cross, Worcester, MA, United States of America; Department of Radiology, UMass Chan Medical School, Worcester, MA, United States of America. Electronic address: gdigirol@holycross.edu.
Nikolaos KakourosDepartment of Cardiology, UMass Chan Medical School, Worcester, MA, United States of America.
Federico SorciniDepartment of Radiology, UMass Chan Medical School, Worcester, MA, United States of America.
Sofia Patrizi SorciniDepartment of Psychology, College of the Holy Cross, Worcester, MA, United States of America.
Jenna DupellDepartment of Psychology, College of the Holy Cross, Worcester, MA, United States of America.
Erin K SandsDepartment of Psychology, College of the Holy Cross, Worcester, MA, United States of America.
Max P RosenDepartment of Radiology, UMass Chan Medical School, Worcester, MA, United States of America.

Funding

Increasing Nodule Detection in Lung Cancer by Non-Conscious Detection of "Missed" Nodules and Machine LearningR01CA269903 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Gregory James DiGirolamo · 2022 to 2026
$2.3M
NCI NIH HHS R01 CA269903
6 · The paper itself

Abstract

objectiveTo investigate errors in the assessment of ST-elevation (STEs) myocardial infarctions on ECGs to determine if non-conscious processes successfully detect missed STEs, as evidenced by changes in how long and often physicians look at leads with STEs. MATERIALS AND

methodEight experienced physicians interpreted 90 ECGs (45 STEs, 45 Normal) while eye movements were recorded. Physicians marked consciously recognized or considered STEs. No clinical context was provided.

resultsPhysicians missed 18% of STEs. Eye-tracking showed longer (P = 0.02), more frequent (P = 0.02), and increased transitions (P = 0.02) to "missed" STE leads compared to Normal ECG leads. DISCUSSION: Non-conscious detection of STEs, including inter‑lead relationships, despite a lack of conscious recognition, suggests a sophisticated mechanism of wholistic detection, including culprit lesion sites by non-conscious processes.

conclusionNon-conscious detection of STEs supports non-conscious detection processing in medicine leading to more success than can be tracked by conscious report. Eye-tracking could enhance ECG interpretation and reduce diagnostic errors.

Indexed as

Diagnostic ErrorsElectrocardiographyEye MovementsEye-Tracking TechnologyST Elevation Myocardial InfarctionFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityECGErrorsEye-trackingNon-consciousST-elevations

Identifiers

PMID41135156
PMCPMC12558364

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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.