Evidence map›Paper›PMID 42617135›Full record

ArticleAnnals of medicine2026

A prediction model for functional outcome following rescue therapy in patients with acute ischemic stroke undergoing endovascular treatment.

Xiaoyu Wu, Lanqi Li, Mingchen Zhang, Kangjia Song, Wenbin Zhang, Siyuan Wang, Chao Jiang, Shouchun Wang

Abstract read
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Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaoyu WuStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Lanqi LiDepartment of Neurology, Affiliated Hospital of Beihua University, Jilin, China.
Mingchen ZhangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Kangjia SongStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.ORCID 0000-0003-3519-4872
Wenbin ZhangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Siyuan WangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Chao JiangDepartment of Neurology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Shouchun WangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.ORCID 0000-0002-0714-4299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the association between key preoperative and intraoperative factors and 90-day functional outcomes in acute ischemic stroke (AIS) patients undergoing endovascular treatment (EVT) with rescue therapy, and to establish a prognostic model for estimating 90-day functional outcomes.

methodsWe retrospectively enrolled AIS patients with EVT plus rescue therapy from January 2018 to December 2024. The primary endpoint was a 90-day modified Rankin Scale (mRS) score >2. Logistic regression identified predictors incorporated into a nomogram. Model performance was assessed with receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow test, and decision curve analysis (DCA). Bootstrap resampling and 10-fold cross-validation assessed robustness.

resultsIn total, 445 individuals were analyzed (training: 312; validation: 133). Multivariable analysis identified glycated hemoglobin (HbA1c; OR = 1.345, 95% CI: 1.145-1.608,

conclusionOur model integrating HbA1c, NIHSS, OPT, PRT, and refractory thrombectomy demonstrated acceptable performance in predicting 90-day outcomes after rescue therapy. However, as a development-phase model, its clinical applicability should be interpreted with caution.

Indexed as

Endovascular ProceduresIschemic StrokeAgedAged, 80 and overBrain IschemiaFemaleGlycated HemoglobinHumansLogistic ModelsMaleMiddle AgedNomogramsPrediction AlgorithmsPrognosisRetrospective StudiesROC CurveGlycated HemoglobinAcute ischemic strokeendovascular treatmentprognostic modelrescue therapy

Identifiers

PMID42617135
PMCPMC13491895

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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.