ArticleWorld journal of clinical cases2021
Risk factors for relapse and nomogram for relapse probability prediction in patients with minor ischemic stroke.
Article in World journal of clinical cases, 2021. 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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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.
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundThe identification of risk factors for recurrence in patients with minor ischemic stroke (MIS) is a critical medical need.
aimTo develop a nomogram for individualized prediction of in-hospital recurrence in MIS patients.
methodsBased on retrospective collection, a single-center study was conducted at the First Affiliated Hospital of Anhui Medical University from January 2014 to December 2019. Univariate and multivariate logistic regression analyses were used to determine the risk factors associated with MIS recurrence. The least absolute shrinkage and selection operator regression was performed for preliminary identification of potential risk factors. Uric acid, systolic blood pressure, serum total bilirubin (STBL), and ferritin were integrated for nomogram construction. The predictive accuracy and calibration of the nomogram model were assessed by the area under the receiver operating characteristic curve (AUC-ROC) and Hosmer-Lemeshow test, respectively.
resultsA total of 2216 MIS patients were screened. Among them, 155 were excluded for intravascular therapy, 146 for unknown National Institutes of Health Stroke Scale score, 195 for intracranial hemorrhage, and 247 for progressive stroke. Finally, 1244 patients were subjected to further analysis and divided into a training set (
conclusionOur present findings suggest that the nomogram may provide individualized prediction of recurrence in MIS patients.
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