Evidence map›Paper›PMID 32544415›Full record

ArticleResuscitation2020

Are providers overconfident in predicting outcome after cardiac arrest?

Alexis Steinberg, Clifton Callaway, Cameron Dezfulian, Jonathan Elmer

Open access · greenAbstract read
In one paragraph

Article in Resuscitation, 2020. 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
2.8field-weighted citation impact, top 8% of its field
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, 23 citations in OpenAlex.

  1. Guideline
  2. Article
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  5. Article
  6. Review
  7. Cognitive biases in clinical decision-making in prehospital critical care; a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  8. Timing of neuroprognostication in the ICU.Current opinion in critical care · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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

4 authors at 1 institution in 1 country.

Alexis SteinbergUniversity of Pittsburgh, Department of Critical Care Medicine and Neurology, Pittsburgh, PA, USA. Electronic address: steinberga2@upmc.edu.
Clifton CallawayUniversity of Pittsburgh, Department of Emergency Medicine, Pittsburgh, PA, USA. Electronic address: callawaycw@upmc.edu.
Cameron DezfulianUniversity of Pittsburgh, Department of Critical Care Medicine, Pittsburgh, PA, USA. Electronic address: dezfulianc@upmc.edu.
Jonathan ElmerUniversity of Pittsburgh, Department of Critical Care Medicine, Emergency Medicine and Neurology, Pittsburgh, PA, USA. Electronic address: elmerjp@upmc.edu.
University of Pittsburgh · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Quantitative electroencephalography after cardiac arrestK23NS097629 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ELMER, JONATHAN · 2017 to 2021
$945k
NCATS NIH HHS UL1 TR001857NINDS NIH HHS K23 NS097629
6 · The paper itself

Abstract

aimTo quantify the accuracy of health care providers' predictions of survival and function at hospital discharge in a prospective cohort of patients resuscitated from cardiac arrest. To test whether self-reported confidence in their predictions was associated with increased accuracy and whether this relationship varied across providers. METHODOLOGY: We presented critical care and neurology providers with clinical vignettes using real data from post-arrest patients. We asked providers to predict survival, function at discharge, and report their confidence in these predictions. We used mixed effects models to explore predictors of confidence, accuracy, and the relationship between the two.

resultsWe completed 470 assessments of 62 patients with 65 providers. Of patients, 49 (78%) died and 9 (15%) had functionally favourable survival. Providers accurately predicted survival in 308/470 (66%) assessments. In most errors (146/162, 90%), providers incorrectly predicted survival. Providers accurately predicted function in 349/470 (74%) assessments. In most errors (114/121, 94%), providers incorrectly predicted favourable functional recovery. Providers were confident (median confidence predicting survival 80 [IQR 60-90]; median confidence predicting function 80 [IQR 60-95]). Confidence explained 9% and 18% of variation in accuracy predicting survival and function, respectively. We observed significant between-provider variability in accuracy (median odds ratio (MOR) for predicting survival 2.93, 95%CI 1.94-5.52; MOR for predicting function 5.42, 95%CI 3.01-13.2).

conclusionsProviders varied in accuracy predicting post-arrest outcomes and most errors were optimistic. Self-reported confidence explained little variation in accuracy.

Indexed as

Cardiopulmonary ResuscitationOut-of-Hospital Cardiac ArrestCritical CareHumansPatient DischargeProspective StudiesCardiac arrestComaOutcomePrognosis

Identifiers

PMID32544415
PMCPMC7390696
OpenAlexW3035392489

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.