Evidence mapPaperPMID 33934715Full record

ReviewNeurological research and practice2021

Prognostication after intracerebral hemorrhage: a review.

Jens Witsch, Bob Siegerink, Christian H Nolte, Maximilian Sprügel, Thorsten Steiner, Matthias Endres, Hagen B Huttner

Registry-linked trialAbstract readReview
In one paragraph

Review in Neurological research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03183167 (Universitätsklinikum Erlangen Cohort of Patients With Spontaneous Intracerebral Hemorrhage), which is not on this map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 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.

NCT03183167 completednot on this map

Universitätsklinikum Erlangen Cohort of Patients With Spontaneous Intracerebral Hemorrhage

TypeobservationalSponsorUniversity of Erlangen-Nürnberg Medical SchoolRan2006 to 2017Enrolled1,076ConditionsSpontaneous Intracerebral HemorrhageArmsNo intervention
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Surgery for spontaneous supratentorial intracerebral haemorrhage.The Cochrane database of systematic reviews · 2025
    Pooled it
  3. Guideline
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. CT-Based deep learning platform combined with clinical parameters for predicting different discharge outcome in spontaneous intracerebral hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  15. Article
  16. Integrating parent voices into research at the extremes of prematurity: what are we doing and where should we go?Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  17. Observational
  18. Observational
  19. Article
  20. 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

7 authors.

Jens WitschDepartment of Neurology, Weill Cornell Medicine, 525 East 68th Street, New York, NY, 10065, USA. jensjulianwitsch@gmail.com.ORCID http://orcid.org/0000-0001-8924-851X
Bob SiegerinkCenter for Stroke Research Berlin, Charité Universitätsmedizin, Berlin, Germany.
Christian H NolteCenter for Stroke Research Berlin, Charité Universitätsmedizin, Berlin, Germany.
Maximilian SprügelDepartment of Neurology, Universitätsklinikum Erlangen, Erlangen, Germany.
Thorsten SteinerDepartment of Neurology, Klinikum Frankfurt Höchst, Frankfurt a. M., Germany.
Matthias EndresCenter for Stroke Research Berlin, Charité Universitätsmedizin, Berlin, Germany.
Hagen B HuttnerDepartment of Neurology, Universitätsklinikum Erlangen, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately half of patients with spontaneous intracerebral hemorrhage (ICH) die within 1 year. Prognostication in this context is of great importance, to guide goals of care discussions, clinical decision-making, and risk stratification. However, available prognostic scores are hardly used in clinical practice. The purpose of this review article is to identify existing outcome prediction scores for spontaneous intracerebral hemorrhage (ICH) discuss their shortcomings, and to suggest how to create and validate more useful scores. MAIN TEXT: Through a literature review this article identifies existing ICH outcome prediction models. Using the Essen-ICH-score as an example, we demonstrate a complete score validation including discrimination, calibration and net benefit calculations. Score performance is illustrated in the Erlangen UKER-ICH-cohort (NCT03183167). We identified 19 prediction scores, half of which used mortality as endpoint, the remainder used disability, typically the dichotomized modified Rankin score assessed at variable time points after the index ICH. Complete score validation by our criteria was only available for the max-ICH score. Our validation of the Essen-ICH-score regarding prediction of unfavorable outcome showed good discrimination (area under the curve 0.87), fair calibration (calibration intercept 1.0, slope 0.84), and an overall net benefit of using the score as a decision tool. We discuss methodological pitfalls of prediction scores, e.g. the withdrawal of care (WOC) bias, physiological predictor variables that are often neglected by authors of clinical scores, and incomplete score validation. Future scores need to integrate new predictor variables, patient-reported outcome measures, and reduce the WOC bias. Validation needs to be standardized and thorough. Lastly, we discuss the integration of current ICH scoring systems in clinical practice with the awareness of their shortcomings.

conclusionPresently available prognostic scores for ICH do not fulfill essential quality standards. Novel prognostic scores need to be developed to inform the design of research studies and improve clinical care in patients with ICH.

Indexed as

Cerebrovascular diseaseIntracerebral hemorrhageOutcome researchPrognosisStroke

Identifiers

PMID33934715
PMCPMC8091769

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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 Socratic graph.