Evidence map›Paper›PMID 41507670›Full record

GuidelineNeurocritical care2026

Guidelines for Neuroprognostication in Critically Ill Adults with Status Epilepticus.

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

Abstract readSystematic ReviewPractice Guideline
In one paragraph

Guideline in Neurocritical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dominik MadzarDepartment of Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. dominik.madzar@uk-erlangen.de.ORCID 0000-0001-8680-9668
Venkatakrishna RajajeeDepartments of Neurology and Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Susanne MuehlschlegelDepartments of Neurology and Anesthesiology/Critical Care Medicine, Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, 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, College of Medicine, University of Florida, 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.
David Y HwangDepartment of Neurology, University of North Carolina, Chapel Hill, NC, USA.
Keri S KimDepartment of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL, USA.
Dea MahanesDepartments of Neurology and Neurosurgery, UVA 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 and BDH-Cliniclinic Elzach, Elzach, Germany.
Thomas WestermaierDepartment of Neurosurgery, Helios Amper-Klinikum Dachau, Dachau, Germany.
Sara E HockerDepartment of Neurology, Saint Luke's Health System, Kansas City, MO, USA.

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

backgroundStatus epilepticus (SE) is a heterogeneous disorder with significant morbidity and mortality. This guideline provides broad principles of neuroprognostication and recommendations on the reliability of clinical predictors of outcome that clinicians may consider when counseling surrogate decision-makers of patients with SE.

methodsThis narrative systematic review used Grading of Recommendations Assessment, Development and Evaluation methodology. Good practice recommendations addressed essential principles of neuroprognostication. Candidate predictors, including clinical variables and prediction models, were selected based on clinical relevance and the availability of appropriate evidence. The question was: "When counseling surrogates of patients with SE, should [predictor, with time of assessment if appropriate] be considered a reliable predictor of [outcome] assessed at [time point]?" Outcomes were selected and rated by the panel. Screening criteria were used to exclude smaller and lower-quality studies. Following construction of the evidence profile and summary of findings, recommendations were based on four Grading of Recommendations Assessment, Development and Evaluation criteria: quality of evidence, balance of desirable and undesirable consequences, values and preferences, and resource use.

resultsGood practice recommendations include establishing appropriate long-term goals with surrogates of patients with SE that may extend beyond seizure control alone, setting expectations for recovery in patients with refractory/super-refractory SE, using predictors specific to underlying pathologies as a basis for neuroprognostication, considering potential confounders, and deferring neuroprognostication in cases of unclear etiology until appropriate diagnostic evaluation is performed. Nine clinical variables and two prediction models were selected. A sufficient body of evidence was available only for the prediction of mortality. Forty-two articles met the eligibility criteria for guiding recommendations. None of the variables and models selected were identified as reliable predictors of mortality in patients with SE.

conclusionsThis guideline provides broad principles for neuroprognostication and recommendations on the reliability of predictors of in-hospital mortality in the context of counseling surrogates of patients with SE.

Indexed as

Critical CareCritical IllnessOutcome Assessment, Health CareStatus EpilepticusAdultHumansPractice Guidelines as TopicPrognosisFunctional outcomeMortalityPrognosisStatus epilepticus

Identifiers

PMID41507670
PMCPMC13053593

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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.