Evidence map›Paper›PMID 34278317›Full record

ArticleCritical care explorations2021

Frequency of Withdrawal of Life-Sustaining Therapy for Perceived Poor Neurologic Prognosis.

Alexis Steinberg, Benjamin S Abella, Emily J Gilmore, David Y Hwang, Niki Kennedy, Winnie Lau, Isabelle Mullen, Nidhi Ravishankar, Charlotte F Tisch, Adam Waddell and 3 more

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

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  18. Computational Prognostic Modeling in Traumatic Brain Injury.Advances in experimental medicine and biology · 2024
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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

13 authors at 4 institutions in 1 country.

Alexis SteinbergDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Benjamin S AbellaDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA.
Emily J GilmoreDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT.
David Y HwangDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT.
Niki KennedyDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Winnie LauDepartment of Neurology, University of North Carolina, Chapel Hill, NC.
Isabelle MullenDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA.
Nidhi RavishankarDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT.
Charlotte F TischDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA.
Adam WaddellDepartment of Neurology, University of North Carolina, Chapel Hill, NC.
David J WallaceDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Qiang ZhangDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT.
Jonathan ElmerDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
University of Pittsburgh · USYale University · USUniversity of Pennsylvania · USUniversity of North Carolina at Chapel Hill · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Quantitative electroencephalography after cardiac arrestK23NS097629 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ELMER, JONATHAN · 2017 to 2021
$945k
NCATS NIH HHS UL1 TR001863NINDS NIH HHS K23 NS097629
6 · The paper itself

Abstract

To measure the frequency of withdrawal of life-sustaining therapy for perceived poor neurologic prognosis among decedents in hospitals of different sizes and teaching statuses.

designWe performed a multicenter, retrospective cohort study.

settingFour large teaching hospitals, four affiliated small teaching hospitals, and nine affiliated nonteaching hospitals in the United States. PATIENTS: We included a sample of all adult inpatient decedents between August 2017 and August 2019. MEASUREMENTS AND MAIN

resultsWe reviewed inpatient notes and categorized the immediately preceding circumstances as withdrawal of life-sustaining therapy for perceived poor neurologic prognosis, withdrawal of life-sustaining therapy for nonneurologic reasons, limitations or withholding of life support or resuscitation, cardiac death despite full treatment, or brain death. Of 2,100 patients, median age was 71 years (interquartile range, 60-81 yr), median hospital length of stay was 5 days (interquartile range, 2-11 d), and 1,326 (63%) were treated at four large teaching hospitals. Withdrawal of life-sustaining therapy for perceived poor neurologic prognosis occurred in 516 patients (25%) and was the sole contributing factor to death in 331 (15%). Withdrawal of life-sustaining therapy for perceived poor neurologic prognosis was common in all hospitals: 30% of deaths at large teaching hospitals, 19% of deaths in small teaching hospitals, and 15% of deaths at nonteaching hospitals. Withdrawal of life-sustaining therapy for perceived poor neurologic prognosis happened frequently across all hospital units. Withdrawal of life-sustaining therapy for perceived poor neurologic prognosis contributed to one in 12 deaths in patients without a primary neurologic diagnosis. After accounting for patient and hospital characteristics, significant between-hospital variability in the odds of withdrawal of life-sustaining therapy for perceived poor neurologic prognosis persisted.

conclusionsA quarter of inpatient deaths in this cohort occurred after withdrawal of life-sustaining therapy for perceived poor neurologic prognosis. The rate of withdrawal of life-sustaining therapy for perceived poor neurologic prognosis occurred commonly in all type of hospital settings. We observed significant unexplained variation in the odds of withdrawal of life-sustaining therapy for perceived poor neurologic prognosis across participating hospitals.

Indexed as

critically illend-of-life careepidemiologyneurologic disordersprognosiswithdrawing treatment

Identifiers

PMID34278317
PMCPMC8280080
OpenAlexW3184997240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.