Evidence map›Paper›PMID 35007934›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2022

Prognostication in Acute Neurological Emergencies.

Kelly L Sloane, Julie J Miller, Amanda Piquet, Brian L Edlow, Eric S Rosenthal, Aneesh B Singhal

Open access · greenAbstract read
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Sim and Learn: Simulation and its Value in Neurology Education.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Review
  3. Article
  4. Article
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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

6 authors at 3 institutions in 1 country.

Kelly L SloaneDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania 19104, USA. Electronic address: Kelly.sloane@pennmedicine.upenn.edu.
Julie J MillerDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: Jmiller30@mgh.harvard.edu.
Amanda PiquetDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, University of Colorado, Aurora, CO, USA. Electronic address: amanda.piquet@CUAnschutz.edu.
Brian L EdlowDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: bedlow@mgh.harvard.edu.
Eric S RosenthalDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: erosenthal@mgh.harvard.edu.
Aneesh B SinghalDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: asinghal@partners.org.
Massachusetts General Hospital · USHospital of the University of Pennsylvania · USUniversity of Colorado Hospital · US

Funding

NSTN National Clinical Coordinating CenterU01NS086872 · NINDS · UNIVERSITY OF CINCINNATI · PI Joseph Paul Broderick, Pooja Khatri · 2013 to 2026
$32.3M
AtRial Cardiopathy and Antithrombotic Drugs In prevention After cryptogenicstroke (ARCADIA)U01NS095869 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRODERICK, JOSEPH PAUL, KAMEL, HOOMAN · 2017 to 2022
$22.0M
Institutional Clinical and Translational Science AwardKL2TR001879 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI MEAGHER, EMMA ANNE · 2016 to 2025
$13.7M
ELECTRO-BOOST: Electroencephalography for cerebral trauma recovery and oxygenationR01NS117904 · NINDS · YALE UNIVERSITY · PI DING, KAN, GILMORE, EMILY · 2020 to 2025
$3.2M
Learning to Predict Delayed Cerebral Ischemia with Novel Continuous Cerebral Arterial State IndexR01NS113541 · NINDS · EMORY UNIVERSITY · PI HU, XIAO, VESPA, PAUL M · 2020 to 2025
$3.0M
A Connectome-Based Clinical Trial Platform to Promote Early Recovery of Consciousness after Traumatic ComaDP2HD101400 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2019
$2.5M
New England Regional Coordinating Center for the NINDS Stroke Trials NetworkU10NS086729 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SCHWAMM, LEE H · 2013 to 2017
$2.3M
Real-Time Prediction of Delayed Cerebral Ischemia after Subarachnoid HemorrhageK23NS105950 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSENTHAL, ERIC S. · 2018 to 2022
$1.0M
Brainstem Connectome Mapping to Guide Targeted Stimulant Therapy in Patients with Traumatic ComaR21NS109627 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2020
$480k
NCATS NIH HHS KL2 TR001879NICHD NIH HHS DP2 HD101400NINDS NIH HHS K23 NS105950NINDS NIH HHS R01 NS113541NINDS NIH HHS R01 NS117904NINDS NIH HHS R21 NS109627NINDS NIH HHS U01 NS086872NINDS NIH HHS U01 NS095869NINDS NIH HHS U10 NS086729
6 · The paper itself

Abstract

backgroundFor patients with acute, serious neurological conditions presenting to the emergency department (ED), prognostication is typically based on clinical experience, scoring systems and patient co-morbidities. Because estimating a poor prognosis influences caregiver decisions to withdraw life-sustaining therapy, we investigated the consistency of prognostication across a spectrum of neurology physicians.

methodsFive acute neurological presentations (2 with large hemispheric infarction; 1 with brainstem infarction, 1 with lobar hemorrhage, and 1 with hypoxic-ischemic encephalopathy) were selected for a department-wide prognostication simulation exercise. All had presented to our tertiary care hospital's ED, where a poor outcome was predicted by the ED neurology team within 24 hours of onset. Relevant clinical, laboratory and imaging data available before ED prognostication were presented on a web-based platform to 120 providers blinded to the actual outcome. The provider was requested to rank-order, from most to least likely, the predicted 90-day modified Rankin Scale (mRS) score. To determine the accuracy of individual outcome predictions we compared the patient's the actual 90-day mRS score to highest ranked predicted mRS score. Additionally, the group's "weighted" outcomes, accounting for the entire spectrum of mRS scores ranked by all respondents, were compared to the actual outcome for each case. Consistency was compared between pre-specified provider roles: neurology trainees versus faculty; non-vascular versus vascular faculty.

resultsResponses ranged from 106-110 per case. Individual predictions were highly variable, with predictions matching the actual mRS scores in as low as 2% of respondents in one case and 95% in another case. However, as a group, the weighted outcome matched the actual mRS score in 3 of 5 cases (60%). There was no significant difference between subgroups based on expertise (stroke/neurocritical care versus other) or experience (faculty versus trainee) in 4 of 5 cases.

conclusionAcute neuro-prognostication is highly variable and often inaccurate among neurology providers. Significant differences are not attributable to experience or subspecialty expertise. The mean outcome prediction from group of providers ("the wisdom of the crowd") may be superior to that of individual providers.

Indexed as

EmergenciesNervous System DiseasesAcute DiseaseEmergency Service, HospitalHumansPrognosisTreatment OutcomeBrain injuryNeurological emergenciesNeuroprognosticationOutcome prediction

Identifiers

PMID35007934
PMCPMC8837701
OpenAlexW4205683543

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.