Evidence map›Paper›PMID 38366277›Full record

SynthesisNeurocritical care2024

Guidelines for Neuroprognostication in Critically Ill Adults with Moderate-Severe Traumatic Brain Injury.

Susanne Muehlschlegel, Venkatakrishna Rajajee, Katja E Wartenberg, Sheila A Alexander, Katharina M Busl, Claire J Creutzfeldt, Gabriel V Fontaine, Sara E Hocker, David Y Hwang, Keri S Kim and 8 more

Abstract readSystematic Review
In one paragraph

Synthesis in Neurocritical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Observational
  5. Review
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  9. Article
  10. Traumatic brain injury impact on normal hearing.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026
    Review
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  12. Article
  13. Article
  14. Outcomes in Traumatic Brain Injury: Can Electroencephalography Predict the Unpredictable?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    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

18 authors.

Susanne MuehlschlegelDepartments of Neurology and Anesthesiology/Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Venkatakrishna RajajeeDepartments of Neurology and Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Katja E WartenbergDepartment of Neurology, University of Leipzig, Leipzig, Germany.
Sheila A AlexanderSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Katharina M BuslDepartments of Neurology and Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA.
Claire J CreutzfeldtDepartment of Neurology, University of Washington, Seattle, WA, USA.
Gabriel V FontaineDepartments of Pharmacy and Neurosciences, Intermountain Health, Salt Lake City, UT, USA.
Sara E HockerDepartment of Neurology, Saint Luke's Health System, Kansas City, MO, USA.
David Y HwangDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Keri S KimDepartment of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL, USA.
Dominik MadzarDepartment of Neurology, University of Erlangen-Nuremberg, Erlangen, Germany.
Dea MahanesDepartments of Neurology and Neurosurgery, University of Virginia Health, Charlottesville, VA, USA.
Shraddha MainaliDepartment of Neurology, Virginia Commonwealth University, Richmond, VA, USA.
Juergen MeixensbergerDepartment of Neurosurgery, University of Leipzig, Leipzig, Germany.
Oliver W SakowitzDepartment of Neurosurgery, Neurosurgery Center Ludwigsburg-Heilbronn, Ludwigsburg, Germany.
Panayiotis N VarelasDepartment of Neurology, Albany Medical College, Albany, NY, USA.
Christian WeimarInstitute of Medical Informatics, Biometry, and Epidemiology, University Hospital Essen, Essen, Germany.
Thomas WestermaierDepartment of Neurosurgery, Helios Amper Klinikum Dachau, Dachau, Germany. Thomas.Westermaier@helios-gesundheit.de.

Funding

Brain Oxygen Optimization in Severe Traumatic Brain Injury - Phase 3 (BOOST-3)U01NS099046 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ramon Diaz-Arrastia, Lori Shutter · 2018 to 2026
$35.7M
Analytical Validation of Portable Devices for Detection of Traumatic Brain Injury BiomarkersU01NS119647 · NINDS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jane Grayson Wigginton, Nianqiang Wu · 2021 to 2026
$2.7M
Improving patient care in severe acute brain injury: a web/mobile/tablet-based communication and decision support tool for clinicians and families in the neuro-ICUR21NR020231 · NINR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HENNINGER, NILS, MUEHLSCHLEGEL, SUSANNE · 2022 to 2023
$461k
NINDS NIH HHS U01 NS099046NINDS NIH HHS U01 NS119647NINR NIH HHS R21 NR020231
6 · The paper itself

Abstract

backgroundModerate-severe traumatic brain injury (msTBI) carries high morbidity and mortality worldwide. Accurate neuroprognostication is essential in guiding clinical decisions, including patient triage and transition to comfort measures. Here we provide recommendations regarding the reliability of major clinical predictors and prediction models commonly used in msTBI neuroprognostication, guiding clinicians in counseling surrogate decision-makers.

methodsUsing the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology, we conducted a systematic narrative review of the most clinically relevant predictors and prediction models cited in the literature. The review involved framing specific population/intervention/comparator/outcome/timing/setting (PICOTS) questions and employing stringent full-text screening criteria to examine the literature, focusing on four GRADE criteria: quality of evidence, desirability of outcomes, values and preferences, and resource use. Moreover, good practice recommendations addressing the key principles of neuroprognostication were drafted.

resultsAfter screening 8125 articles, 41 met our eligibility criteria. Ten clinical variables and nine grading scales were selected. Many articles varied in defining "poor" functional outcomes. For consistency, we treated "poor" as "unfavorable". Although many clinical variables are associated with poor outcome in msTBI, only the presence of bilateral pupillary nonreactivity on admission, conditional on accurate assessment without confounding from medications or injuries, was deemed moderately reliable for counseling surrogates regarding 6-month functional outcomes or in-hospital mortality. In terms of prediction models, the Corticosteroid Randomization After Significant Head Injury (CRASH)-basic, CRASH-CT (CRASH-basic extended by computed tomography features), International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT)-core, IMPACT-extended, and IMPACT-lab models were recommended as moderately reliable in predicting 14-day to 6-month mortality and functional outcomes at 6 months and beyond. When using "moderately reliable" predictors or prediction models, the clinician must acknowledge "substantial" uncertainty in the prognosis.

conclusionsThese guidelines provide recommendations to clinicians on the formal reliability of individual predictors and prediction models of poor outcome when counseling surrogates of patients with msTBI and suggest broad principles of neuroprognostication.

Indexed as

Brain Injuries, TraumaticCritical IllnessAdultCritical CareHumansPractice Guidelines as TopicPrognosisNeurocritical careOutcomePrognosisPrognosticationTraumatic brain injury

Identifiers

PMID38366277
PMCPMC10959796

What OpenQuestion holds

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Registered trials

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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.