Evidence map›Paper›PMID 31368059›Full record

ArticleNeurocritical care2019

Gap Analysis Regarding Prognostication in Neurocritical Care: A Joint Statement from the German Neurocritical Care Society and the Neurocritical Care Society.

Katja E Wartenberg, David Y Hwang, Karl Georg Haeusler, Susanne Muehlschlegel, Oliver W Sakowitz, Dominik Madžar, Hajo M Hamer, Alejandro A Rabinstein, David M Greer, J Claude Hemphill and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Neurocritical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Timing of neuroprognostication in the ICU.Current opinion in critical care · 2025
    Review
  8. Review
  9. Indian Society of Critical Care Medicine and Indian Association of Palliative Care Expert Consensus and Position Statements for End-of-life and Palliative Care in the Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Prognostication in Acute Neurological Emergencies.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Prognostication after intracerebral hemorrhage: a review.Neurological research and practice · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Katja E WartenbergNeurocritical Care and Stroke Unit, Department of Neurology, University of Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany. katja.wartenberg@medizin.uni-leipzig.de.
David Y HwangDepartment of Neurology, Yale School of Medicine, P.O. Box 208018, New Haven, CT, 06520-8018, USA.
Karl Georg HaeuslerDepartment of Neurology, Universitätsklinikum Würzburg, Josef-Schneider-Strasse 11, 97080, Würzburg, Germany.
Susanne MuehlschlegelDepartment of Neurology, Anesthesiology and Surgery, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Oliver W SakowitzNeurosurgery Center Ludwigsburg-Heilbronn, RKH Klinikum Ludwigsburg, Posilipostrasse 4, 71640, Ludwigsburg, Germany.
Dominik MadžarDepartment of Neurology, University of Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
Hajo M HamerDepartment of Neurology, University of Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
Alejandro A RabinsteinDepartment of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
David M GreerDepartment of Neurology, Boston University Medical Center, 72 East Concord St, Boston, MA, 02118, USA.
J Claude HemphillDepartment of Neurology, University of California San Francisco, 1001 Potrero Ave, San Francisco, CA, 94110, USA.
Juergen MeixensbergerDepartment of Neurosurgery, University of Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
Panayiotis N VarelasDepartment of Neurology and Neurosurgery, Henry Ford Hospital, 2799 W. Grand Blvd Neurosurgery - K-11, Detroit, MI, 48202, USA.

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
Improving Clinical Decisions for Critically Ill Traumatic Brain Injury PatientsK23HD080971 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MUEHLSCHLEGEL, SUSANNE · 2015 to 2019
$751k
NCATS NIH HHS UL1 TR001863NICHD NIH HHS K23 HD080971
6 · The paper itself

Abstract

BACKGROUND/

objectivePrognostication is a routine part of the delivery of neurocritical care for most patients with acute neurocritical illnesses. Numerous prognostic models exist for many different conditions. However, there are concerns about significant gaps in knowledge regarding optimal methods of prognostication.

methodsAs part of the Arbeitstagung NeuroIntensivMedizin meeting in February 2018 in Würzburg, Germany, a joint session on prognostication was held between the German NeuroIntensive Care Society and the Neurocritical Care Society. The purpose of this session was to provide presentations and open discussion regarding existing prognostic models for eight common neurocritical care conditions (aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, acute ischemic stroke, traumatic brain injury, traumatic spinal cord injury, status epilepticus, Guillain-Barré Syndrome, and global cerebral ischemia from cardiac arrest). The goal was to develop a qualitative gap analysis regarding prognostication that could help inform a future framework for clinical studies and guidelines.

resultsPrognostic models exist for all of the conditions presented. However, there are significant gaps in prognostication in each condition. Furthermore, several themes emerged that crossed across several or all diseases presented. Specifically, the self-fulfilling prophecy, lack of accounting for medical comorbidities, and absence of integration of in-hospital care parameters were identified as major gaps in most prognostic models.

conclusionsPrognostication in neurocritical care is important, and current prognostic models are limited. This gap analysis provides a summary assessment of issues that could be addressed in future studies and evidence-based guidelines in order to improve the process of prognostication.

Indexed as

Critical CareBrain Injuries, TraumaticBrain IschemiaCentral Nervous System DiseasesCerebral HemorrhageGermanyGuillain-Barre SyndromeHeart ArrestHumansPrognosisSpinal Cord InjuriesStatus EpilepticusStrokeSubarachnoid HemorrhageComorbiditiesOutcome predictorsPrognosticationSelf-fulfilling prophecy

Identifiers

PMID31368059
PMCPMC6757096

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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.