Evidence map›Paper›PMID 40762583›Full record

ReviewCurrent opinion in critical care2025

Withdrawal of life-sustaining therapies after cardiac arrest.

Jonathan Tam, Jonathan Elmer

Abstract readReview
In one paragraph

Review in Current opinion in critical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

2 authors.

Jonathan TamDepartment of Emergency Medicine.
Jonathan ElmerDepartment of Emergency Medicine.

Funding

Emergency Medicine Research Career Development Program in the Neurological Sciences (EMRCDP-NS)K12NS137516 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Opeolu M Adeoye, Clifton W. Callaway · 2024 to 2026
$7.9M
Optimizing Recovery prediction after Cardiac Arrest (ORCA)R01NS124642 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jonathan Elmer · 2022 to 2026
$3.2M
Emergency Medicine Research TrainingT32HL134615 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Clifton W. Callaway, DONALD M YEALY · 2017 to 2026
$2.4M
NHLBI NIH HHS T32 HL134615NINDS NIH HHS K12 NS137516NINDS NIH HHS R01 NS124642
6 · The paper itself

Abstract

purpose of reviewThis review explores the intricacies of withdrawal of life-sustaining therapy (WLST) after resuscitation from cardiac arrest, focusing on its key motivators and broader implication for knowledge generation. RECENT

findingsWhen approaching WLST, it is important to balance objective prognostic data with ethical principles and cultural norms to ensure delivery of personalized, patient-centered care. Because evidence guiding prognostication after cardiac arrest remains limited, ethical frameworks are not prescriptive, and cultural norms are variable, WLST is inconsistently applied. This contributes to pervasive biases in research and clinical decision making. SUMMARY: WLST following cardiac arrest is a complex decision. Evidence-based approaches to prognostication have notable limitations and are inconsistently utilized by clinicians. We must account for the effect of WLST to avoid perpetuating biased interpretations of outcome data.

Indexed as

Cardiopulmonary ResuscitationHeart ArrestLife Support CareWithholding TreatmentClinical Decision-MakingHumansPatient-Centered CarePrognosisbiascardiac arrestmedical ethicsneuroprognosticationpostcardiac arrestprognosticationself-fulfilling prophecyshared-decision makingwithdrawal of life-sustaining therapy

Identifiers

PMID40762583
PMCPMC12548719

What OpenQuestion holds

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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.