ArticleThe neurologist2026
ZJUSXH Model: A Multilayer Model for Predicting 90-Day Neurological Outcome After Endovascular Thrombectomy in Acute Large Vessel Occlusion Stroke.
Article in The neurologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesStroke is a leading cause of mortality and disability worldwide, particularly acute ischemic stroke (AIS) due to large vessel occlusion (LVO). Although endovascular intervention has proven effective, individual outcomes vary considerably. This study aimed to identify key prognostic factors and develop a predictive model for neurological recovery in patients with LVO-AIS following endovascular thrombectomy (EVT).
methodsA total of 191 LVO-AIS patients who underwent EVT at the Neurosurgery Department of Zhejiang University Shaoxing Hospital from January 2022 to June 2023 were included in the analysis. Prognostic factors collected included demographic information, premorbid characteristics, initial laboratory data, neurological evaluation, and others. The 90‑day modified Rankin Scale (mRS) score served as the primary clinical outcome. A multilevel prognostic (MLP) model and an associated nomogram were developed to identify significant predictors and visualize their individual contributions to the outcome.
resultsThe Zhejiang University Shaoxing Hospital (ZJUSXH) model was developed, incorporating 11 key predictors: the National Institutes of Health Stroke Scale (NIHSS) score, symptom onset‑to‑recanalization (OTR) time, fasting blood glucose (FBS), hemoglobin (HGB), serum albumin (ALB), symptomatic intracerebral hemorrhage (sICH), the Controlling Nutritional Status (CONUT) score, the prognostic nutritional index (PNI), swallowing function, and the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification. The overall predictive accuracy of the model was 86.2%.
conclusionThe NIHSS score and OTR time emerged as the most critical prognostic factors. FBS, HGB, ALB, sICH, swallowing function, and TOAST classification were also significant predictors. In addition, the CONUT score and PNI showed a significant association with neurological outcomes. Both the developed ZJUSXH model and its corresponding nomogram demonstrated high predictive accuracy.
Indexed as
Identifiers
What OpenQuestion holds
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.