Evidence map›Paper›PMID 40248671›Full record

ArticleBMJ neurology open2025

External validation of the MR PREDICTS@24H model: predicting functional outcome after endovascular treatment in stroke.

Jeanette Tas, Cristina Cerinza Sick, Caterina Kulyk, Bogdan-Andrei Ianosi, Patrizia Spiandorello, Milan R Vosko, Michael Sonnberger, Melanie Bergmann, Raimund Helbok

Abstract read
In one paragraph

Article in BMJ neurology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Validation and simplification of the MR PREDICTS @24H model for outcome prediction after endovascular thrombectomy for acute ischemic stroke.International journal of stroke : official journal of the International Stroke Society · 2026
    Observational
  2. Review
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

9 authors.

Jeanette Tas *Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.ORCID 0000-0002-8914-0960
Cristina Cerinza Sick *Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Caterina KulykDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Bogdan-Andrei IanosiDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Patrizia SpiandorelloDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Milan R VoskoDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Michael SonnbergerInstitute of Neuroradiology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Melanie BergmannDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Raimund HelbokDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chalos Methods: We conducted a retrospective cohort study including a selection of adult (≥18 years old) ischaemic stroke patients eligible for EVT in a tretiary care center between January 2014 and May 2023. Model performance was assessed using C-statistics for discrimination and calibration plots for goodness of fit. Results: Among 254 eligible stroke patients, the model demonstrates a strong discriminatory performance for both functional independence (C-statistics 0.92; 95% CI 0.88 to 0.95) and survival (C-statistic 0.83; 95% CI 0.76 to 0.90). Compared with the MR CLEAN Registry, no significant differences were observed in discriminative ability (functional independence: z-score 0.54, p=0.590; survival: z-score -1.66, p=0.0962). Conclusions: The MR PREDICTS@24H model reliably predicts outcomes in a real-world setting and may help clinicians in the communication with patient relatives.

Indexed as

STROKE

Identifiers

PMID40248671
PMCPMC12004460

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.