ArticleFrontiers in neurology
Clinical multidimensional prediction model for futile reperfusion in acute ischemic stroke after endovascular thrombectomy.
Article in Frontiers in neurology. 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
Background: Previous Studies on prediction models for futile reperfusion after endovascular thrombectomy (EVT) in acute ischemic stroke (AIS) related to large vessel occlusion (LVO) have yielded inconsistent results. This inconsistency may be largely attributed to methodological limitations, particularly in variable selection and missing data handling. Consequently, the prognostic value of several key clinical predictors remains to be fully elucidated. Methods: This retrospective study included 390 patients with AIS who underwent EVT at Ningbo No.2 Hospital. All of them achieved successful reperfusion with modified Thrombolysis in Cerebral Infarction (mTICI) score ≥ 2b. Futile reperfusion was defined as a modified Rankin Scale score of 3-6 at 90-day. Missing data were handled with multiple imputation. Logistic regression models were built using a two step predictor selection process: first univariable screening with Results: Based on preoperative assessments integrating clinical, imaging, and laboratory markers, the final model comprised nine variables: National Institutes of Health Stroke Scale (NIHSS) score, Computed Tomography angiography-source images Alberta Stroke Program Early Computed Tomography Score (CTA-SI ASPECTS), time from onset to reperfusion (OTR), collateral circulation scores (CCS), C-reactive protein (CRP), glucose, white blood cell (WBC) count, neutrophil count, and monocyte count. The final model demonstrated good discriminative ability, with a pooled test AUC of 0.795 and a Brier score of 0.178. At the optimal threshold (mean 0.457), the model achieved a specificity of 0.822 and accuracy of 0.761, with positive net benefit across clinically relevant threshold probabilities on decision curve analysis. A nomogram incorporating the nine consistently selected predictors was developed to facilitate individualized risk prediction. Conclusion: We developed a multidimensional model integrating clinical, imaging, and laboratory markers to predict futile reperfusion following EVT in patients with anterior circulation stroke. Each marker provides independent prognostic information; collectively, they represent the multidimensional risk architecture underlying postprocedural outcomes.
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.