Evidence map›Paper›PMID 40000164›Full record

ArticleJournal of neurointerventional surgery2026

Do scoring systems help us to estimate prognosis after mechanical thrombectomy? Data from the German Stroke Registry.

Marianne Hahn, Sonja Gröschel, Roman Paul, Luis Weitbrecht, Maria Protopapa, Sebastian Reder, Ahmed E Othman, Klaus Gröschel, Timo Uphaus, German Stroke Registry – Endovascular Treatment (GSR-ET) investigators

Abstract read
In one paragraph

Article in Journal of neurointerventional surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Marianne HahnDepartment of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.ORCID http://orcid.org/0000-0002-9462-3844
Sonja GröschelDepartment of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
Roman PaulInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Luis WeitbrechtDepartment of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
Maria ProtopapaDepartment of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
Sebastian RederDepartment of Neuroradiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Ahmed E OthmanDepartment of Neuroradiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Klaus GröschelDepartment of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
Timo UphausDepartment of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany Timo.Uphaus@unimedizin-mainz.de.ORCID http://orcid.org/0000-0001-5526-0510
German Stroke Registry – Endovascular Treatment (GSR-ET) investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous scoring systems have been developed to individualize estimation of functional outcome after endovascular thrombectomy (EVT) of acute ischemic stroke. The aim of our study was to assess their utility for clinical practice based on a large cohort from real-world care of EVT.

methodsFor 13 082 patients included in the German Stroke Registry Endovascular Treatment (GSR-ET) (July 2015 to December 2021), we calculated the following prognostic tools: pre-interventional PRE-, Totaled Health Risks in Vascular Events - Endovascular therapy (THRIVE-EVT)- and Computed Tomography for Late Endovascular Reperfusion (CLEAR) scores and post-interventional MR PREDICTS@24 hours and BET-score. Area under the receiver operating characteristic curve (AUC) analyses in the total cohort and pre-defined subgroups were performed to determine each tool's prognostic value for good functional outcome (modified Rankin Scale (mRS) 0-2) and mortality at 90-day follow-up.

resultsAll pre-interventional tools achieved a moderate prognostic value for predicting good functional outcome (PRE: AUC (95% confidence interval): 0.757 (0.747-0.768), THRIVE-EVT: 0.751 (0.740-0.761), CLEAR: 0.731 (0.72-0.742)), had a higher predictive value than the admission National Institute of Health Stroke Scale ((NIHSS); 0.705 (0.694-0.716), all P<0.001), but were inferior to the NIHSS 24 hours after EVT (0.864 (0.855-0.872), all P<0.001). Predictive capacity for mortality was less accurate (AUC range: 0.697-0.729). Subgroup analyses revealed that the PRE-score was most robust at predicting good functional outcome, whereas the THRIVE-EVT score was superior in predicting mortality. Post-interventionally, MR PREDICTS@24 hours yielded high predictive accuracy for good functional outcome and mortality (both AUC >0.85), superior to 24-hour NIHSS for all subgroups, except patients <50 years of age.

conclusionPre-interventional scoring tools predict functional outcome after EVT better than stroke severity alone. Post-interventionally, the MR PREDICTS@24 hours tool adds predictive value to the 24-hour NIHSS as a single prognostic feature. Multivariate prognostic tools incorporating (post-)procedural information enable individualization of prognosis assessment after EVT under routine-care conditions.

Indexed as

Ischemic StrokeRegistriesStrokeThrombectomyAgedAged, 80 and overCohort StudiesEndovascular ProceduresFemaleGermanyHumansMaleMiddle AgedPrognosisTreatment OutcomeInterventionStrokeThrombectomy

Identifiers

PMID40000164
PMCPMC12911615

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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.