ArticleResuscitation2020
Are providers overconfident in predicting outcome after cardiac arrest?
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.
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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Guidelines for Neuroprognostication in Comatose Adult Survivors of Cardiac Arrest.Neurocritical care · 2023Guideline
- Automated Derivation of Cerebral Performance Category at Hospital Discharge After Cardiac Arrest Using Natural Language Processing and Machine Learning.Neurocritical care · 2026Article
- Clinicians' Approaches to Prognostication After Traumatic Brain Injury and Cardiac Arrest: A Multi-Hospital, Qualitative Study.Neurocritical care · 2026Article
- Wolf Creek XVIII Part 8: Wolf Creek Innovator in Cardiac Arrest and Resuscitation Science Award.Resuscitation plus · 2026Article
- Multimodal ensemble machine learning predicts neurological outcome within three hours after out of hospital cardiac arrest.Scientific reports · 2025Article
- Estimating bias from withdrawal of life sustaining treatment in clinical trials.Critical care (London, England) · 2025Review
- Cognitive biases in clinical decision-making in prehospital critical care; a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Timing of neuroprognostication in the ICU.Current opinion in critical care · 2025Review
- Prediction of survival in out-of-hospital cardiac arrest: the updated Swedish cardiac arrest risk score (SCARS) model.European heart journal. Digital health · 2024Article
- Paucity of neuroprognostic testing after cardiac arrest in the United States.Resuscitation · 2023Article
- Physicians' cognitive approach to prognostication after cardiac arrest.Resuscitation · 2022Article
- Frequency of Withdrawal of Life-Sustaining Therapy for Perceived Poor Neurologic Prognosis.Critical care explorations · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.