Evidence map›Paper›PMID 41741791›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Prediction of recurrence and functional status in young ischemic stroke patients: Comparison of machine learning and traditional statistical methods.

Vinicius Viana Abreu Montanaro, Mina Jacob, Kay Sin Tan, Eleonora Maria de Jesus de Oliveira, Thiago Falcão Hora, Merel S Ekker, Youssra Allach, Mengfei Cai, Karoliina Aarnio, Antonio Arauz and 55 more

Abstract readComparative Study
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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

65 authors.

Vinicius Viana Abreu MontanaroSARAH Network of Rehabilitation Hospitals, Programa de pós graduação em neurologia da Universidade Federal Fluminense, Niterói, Brazil. vinicius_montanaro@yahoo.com.br.ORCID http://orcid.org/0000-0001-7819-5563
Mina JacobDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Kay Sin TanDivision of Neurology, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Eleonora Maria de Jesus de OliveiraSARAH Network of Rehabilitation Hospitals, Brasilia, Brazil.
Thiago Falcão HoraSARAH Network of Rehabilitation Hospitals, Brasilia, Brazil.
Merel S EkkerDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Youssra AllachDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Mengfei CaiDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Karoliina AarnioHelsinki University Hospital and University of Helsinki, Helsinki, Finland.
Antonio ArauzNational Institute of Neurology and Neurosurgery of Mexico, Manuel Velasco Suárez, Mexico City, Mexico.
Marcel ArnoldDepartment of Neurology, Inselspital, University Hospital, University of Bern, Bern, Switzerland.
Hee-Joon BaeDepartment of Neurology, Cerebrovascular Disease Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Lucrecia BandeoHospital Británico de Buenos Aires, Buenos Aires, Argentina.
Miguel BarbozaNeurosciences Department, Hospital Dr. Rafael A. Calderon Guardia, CCSS, San Jose, Costa Rica.
Manuel BologneseDepartment of Neurology and Neurorehabilitation, Lucerne Cantonal Hospital, Luzern, Switzerland.
Pablo BonardoHospital Británico de Buenos Aires, Buenos Aires, Argentina.
Raf BrounsDepartment of Neurology, ZorgSaam Hospital, Wielingenlaan 2, Terneuzen, 4535 PA, The Netherlands.
Batnairamdal ChuluunInternational School of Traditional Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Enkhzaya ChuluunbatarDepartment of Neurology, University of British Columbia, Vancouver, Canada.
Charlotte CordonnierUniversity Lille, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Inserm, Lille, F-59000, France.
Byambasuren DagvajantsanDepartment of Neurology, School of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Stephanie DebetteTeam VINTAGE, Bordeaux Population Health Research Center, Inserm, University of Bordeaux, Bordeaux, France.
Adi DonSchool of Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.
Christian EzingerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Esme EkizogluIstanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Simon Fandler-HöflerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Annete FrommCenter for Neurovascular Diseases, Haukeland University Hospital, Bergen, Norway.
Thomas GattringerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Christina JernDepartment of Neurology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.
Katarina JoodDepartment of Neurology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.
Young Seo KimCollege of Medicine, Hanyang University, Seoul, Republic of Korea.
Steve J KittnerDepartment of Neurology, University of Maryland School of Medicine, Baltimore, USA.
Timothy KleinigDepartment of Neurology, Royal Adelaide Hospital, Adelaide, Australia.
Catharina Jm KlijnDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Janika KõrvDepartment of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia.
Vinod KumarCleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
Keon-Joon LeeDepartment of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea.
Tsong-Hai LeeLinkou Medical Center, and College of Medicine, Chang Gung Memorial Hospital, Chang Gung University, Guishan, Taoyuan, Taiwan.
Noortje MaaijweeDepartment of Neurology and Neurorehabilitation, Lucerne Cantonal Hospital, Luzern, Switzerland.
Nicolas Martinez-MajandarHelsinki University Hospital and University of Helsinki, Helsinki, Finland.
João P MartoCentro Hospitalar Lisboa Ocidental and CEDOC, NOVA Medical School, Hospital de Egas Moniz, Universidade NOVA de Lisboa, Lisbon, Portugal.
Man Mohan MehndirattaG.B.Pant Institute of Medical Education and Research (GIPMER), New Delhi, India.
Victoria MifsudCleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
Gisele PacioHospital Británico de Buenos Aires, Buenos Aires, Argentina.
Vinod PatelNelson R. Mandela School of Medicine, Inkosi Albert Luthuli Central Hospital, Mayville, South Africa.
Matthew PhillipsDepartment of Neurology, Waikato Hospital, Hamilton, New Zealand.
Bartlomiej Piechowski-JozwiakCleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
Aleksandra PikulaUniversity Health Network, University of Toronto, Toronto, Canada.
Jose Ruiz-SandovalHospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico.
Bettina von SarnowskiUniversity Medicine, Greifswald, Germany.
Richard SwartzSunnybrook Health Sciences Center, University of Toronto, Toronto, Canada.
David TanneRappoport Faculty of Medicine, Technion, Rambam Healthcare Campus, Haifa, Israel.
Turgut TatlisumakLinkou Medical Center, and College of Medicine, Chang Gung Memorial Hospital, Chang Gung University, Guishan, Taoyuan, Taiwan.
Vincent ThijsFlorey Institute of Neuroscience and Mental Health, Department of neurology, University of Melbourne, Heidelberg, VIC, Australia.
Miguel Viana-BaptistaCentro Hospitalar Lisboa Ocidental and CEDOC, NOVA Medical School, Hospital de Egas Moniz, Universidade NOVA de Lisboa, Lisbon, Portugal.
Rijna ViboDepartment of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia.
Teddy WuChristchurch Hospital, Christchurch, New Zealand.
Nilüfer YesilotIstanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Ullrike Waje-AndreassenCenter for Neurovascular Diseases, Haukeland University Hospital, Bergen, Norway.
Alessando PezziniDepartment of Medicine and Surgery, Stroke Care Program, Department of Emergency, University of Parma, Parma University Hospital, Parma, Italy.
Anil TuladharDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Jukka PutaalaHelsinki University Hospital and University of Helsinki, Helsinki, Finland.
Gabriel R de FreitasUniversidade Federal Fluminense and D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Frank-Erik de LeeuwDepartment of Neurology, Donders Institute Brain, Cognition & Behaviour, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmagen, Netherlands.
Rui LiDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIschemic stroke in young adults is a significant social and economic burden. Machine learning (ML) techniques can potentially predict the outcomes of recurrence and functional status after a stroke more accurately than traditional statistical methods. We sought to predict these outcomes in young individuals with stroke with machine learning and compare that with traditional statistical methods.

methodsThis study is part of Global Outcome Assessment Lifelong After Stroke in Young Adults (GOAL) initiative, which collects individual patient data from hospital-based young stroke (18–50 years) cohorts from 29 countries covering all continents worldwide. We compared several common machine learning models with traditional logistic regression to investigate the best models for predicting functional outcome, as measured by the modified Rankin scale at three months post-stroke, and stroke recurrence during follow-up.

resultsFunctional outcome was available for 7937 patients, and stroke recurrence for 9366 patients. Poor functional outcomes post-stroke occurred in 27.0% of cases, and stroke recurrence in 10.1% of cases during a median follow-up time of 75 months. For functional outcome, multilayer perceptron model achieved the highest mean area under the receiver operating characteristic curve (AUC) at 0.92 ± 0.08. Random forest model attained the highest AUC (0.68 ± 0.03) for predicting stroke recurrence. However, their results were not statistically significantly higher than those for logistic regression.

conclusionOur work explored the use of machine learning to predict outcomes in young stroke patients. However, in our cohort, ML methods provided only moderate added value compared to logistic regression for predicting stroke recurrence and functional outcome.

Indexed as

Brain IschemiaFunctional StatusIschemic StrokeMachine LearningOutcome Assessment, Health CareStrokeAdolescentAdultClassification AlgorithmsFemaleHumansMaleMiddle AgedPrediction AlgorithmsPredictive Learning ModelsRandom ForestIschemic strokeMachine learningMortalityPredictionStroke recurrenceYoung stroke

Identifiers

PMID41741791

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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.