Evidence map›Paper›PMID 35773640›Full record

Observational studyBMC neurology2022

Personalized neurorehabilitative precision medicine: from data to therapies (MWKNeuroReha) - a multi-centre prospective observational clinical trial to predict long-term outcome of patients with acute motor stroke.

Corinna Blum, David Baur, Lars-Christian Achauer, Philipp Berens, Stephanie Biergans, Michael Erb, Volker Hömberg, Ziwei Huang, Oliver Kohlbacher, Joachim Liepert and 7 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04688970 (Personalized Neurorehabilitative Precision Medicine - From Data to Therapies), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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.

NCT04688970 unknown statusnot on this map

Personalized Neurorehabilitative Precision Medicine - From Data to Therapies

TypeobservationalSponsorUniversity Hospital TuebingenRan2020 to 2022Enrolled500ConditionsStroke, Acute, Outcome, Improvement, Rehabilitation, Upper Extremity ParesisArmsno intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

17 authors at 6 institutions in 1 country.

Corinna BlumDepartment for Neurology & Stroke, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
David BaurDepartment for Neurology & Stroke, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Lars-Christian Achauermedical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
Philipp BerensUniversity Hospital of Tübingen, Institute for Ophthalmic Research, Elfriede-Aulhorn-Str. 7, 72076, Tübingen, Germany.
Stephanie Biergansmedical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
Michael ErbDepartment for Biomedical Magnetic Resonance, University Hospital of Tübingen, Ottfried-Müller-Str. 51, 72076, Tübingen, Germany.
Volker HömbergSRH Gesundheitszentrum Bad Wimpfen GmbH, Bei der alten Saline 2, 74206, Bad Wimpfen, Germany.
Ziwei HuangUniversity Hospital of Tübingen, Institute for Ophthalmic Research, Elfriede-Aulhorn-Str. 7, 72076, Tübingen, Germany.
Oliver Kohlbachermedical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
Joachim LiepertSchmieder Clinic Allensbach, Zum Tafelholz 8, 78476, Allensbach, Germany.
Tobias LindigDepartment for Diagnostic and Interventional Neuroradiology, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Gabriele LohmannDepartment for High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max-Planck-Ring 11, 72076, Tübingen, Germany.
Jakob H MackeCluster of Excellence Machine Learning, University of Tübingen, Maria-von-Linden-Str. 6, 72076, Tübingen, Germany.
Jörg Römhildmedical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
Christine Rösinger-HeinHertie Institute for Clinical Brain Research, Ottfried-Müller-Straße 25, 72076, Tübingen, Germany.
Brigitte ZrennerDepartment for Neurology & Stroke, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Ulf ZiemannDepartment for Neurology & Stroke, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany. ulf.ziemann@uni-tuebingen.de.ORCID http://orcid.org/0000-0001-8372-3615
University Children's Hospital Tübingen · DEMax Planck Institute for Biological Cybernetics · DEUniversity of Tübingen · DEAllensbach Institute · DEBernstein Center for Computational Neuroscience Tübingen · DEHertie Institute for Clinical Brain Research · DE

Funding

Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg 42-5400/75/1
6 · The paper itself

Abstract

backgroundStroke is one of the most frequent diseases, and half of the stroke survivors are left with permanent impairment. Prediction of individual outcome is still difficult. Many but not all patients with stroke improve by approximately 1.7 times the initial impairment, that has been termed proportional recovery rule. The present study aims at identifying factors predicting motor outcome after stroke more accurately than before, and observe associations of rehabilitation treatment with outcome.

methodsThe study is designed as a multi-centre prospective clinical observational trial. An extensive primary data set of clinical, neuroimaging, electrophysiological, and laboratory data will be collected within 96 h of stroke onset from patients with relevant upper extremity deficit, as indexed by a Fugl-Meyer-Upper Extremity (FM-UE) score ≤ 50. At least 200 patients will be recruited. Clinical scores will include the FM-UE score (range 0-66, unimpaired function is indicated by a score of 66), Action Research Arm Test, modified Rankin Scale, Barthel Index and Stroke-Specific Quality of Life Scale. Follow-up clinical scores and applied types and amount of rehabilitation treatment will be documented in the rehabilitation hospitals. Final follow-up clinical scoring will be performed 90 days after the stroke event. The primary endpoint is the change in FM-UE defined as 90 days FM-UE minus initial FM-UE, divided by initial FM-UE impairment. Changes in the other clinical scores serve as secondary endpoints. Machine learning methods will be employed to analyze the data and predict primary and secondary endpoints based on the primary data set and the different rehabilitation treatments. DISCUSSION: If successful, outcome and relation to rehabilitation treatment in patients with acute motor stroke will be predictable more reliably than currently possible, leading to personalized neurorehabilitation. An important regulatory aspect of this trial is the first-time implementation of systematic patient data transfer between emergency and rehabilitation hospitals, which are divided institutions in Germany.

trial registrationThis study was registered at ClinicalTrials.gov ( NCT04688970 ) on 30 December 2020.

Indexed as

StrokeStroke RehabilitationHumansPrecision MedicineProspective StudiesQuality of LifeRecovery of FunctionUpper ExtremityAcute strokeMachine learningMotor outcomeOutcome predictionPersonalized neurorehabilitationUpper extremity

Identifiers

PMID35773640
PMCPMC9245298
OpenAlexW4283721951

What OpenQuestion holds

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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 OpenQuestion graph.