Evidence map›Paper›PMID 40904821›Full record

ArticleFrontiers in neurology2025

A nomogram for predicting post-stroke cognitive impairment no dementia in patients with first-ever mild ischemic stroke.

Zhenjie Teng, Jing Feng, Xiaohua Xie, Tianyuan Guan, Jing Xu, Xin Jiang, Yanzhong Chang, Peiyuan Lv

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhenjie TengPostdoctoral Innovation Practice Base of Hebei General Hospital, Shijiazhuang, China.
Jing FengDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, China.
Xiaohua XieDepartment of Neurology, Hebei General Hospital, Shijiazhuang, China.
Tianyuan GuanDepartment of Neurology, Hebei General Hospital, Shijiazhuang, China.
Jing XuDepartment of Neurology, Hebei General Hospital, Shijiazhuang, China.
Xin JiangDepartment of Neurology, Hebei General Hospital, Shijiazhuang, China.
Yanzhong ChangPostdoctoral Research Station of Biology, Hebei Normal University, Shijiazhuang, China.
Peiyuan LvPostdoctoral Innovation Practice Base of Hebei General Hospital, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify significant predictors and construct a validated nomogram for predicting post-stroke cognitive impairment no dementia (PSCIND) risk among first-ever mild ischemic stroke (MIS) patients. Methods: This retrospective cohort study analyzed 242 first-ever MIS patients categorized into normal cognitive ( Results: Eight independent predictors were identified: age (OR = 1.060, 95% CI: 1.016-1.106), education level (OR = 0.917, 95% CI: 0.845-0.995), type 2 diabetes mellitus (OR = 9.407, 95% CI: 3.761-23.528), superoxide dismutase (OR = 0.951, 95% CI: 0.931-0.972), uric acid (OR = 1.006, 95% CI: 1.002-1.010), homocysteine (OR = 1.058, 95% CI: 1.027-1.091), strategic infarcts (OR = 4.566, 95% CI: 2.148-9.707), and severe CSVD burden (OR = 3.818, 95% CI: 1.842-7.911). The nomogram exhibited excellent discrimination (AUC = 0.886) accompanied by satisfactory calibration (Hosmer-Lemeshow Conclusion: This validated nomogram incorporating clinical, biochemical, and neuroimaging biomarkers provides a robust tool for individualized PSCIND risk assessment in first-ever MIS patients, with potential to guide targeted interventions and cognitive monitoring.

Indexed as

cerebral small vessel diseasemild ischemic strokenomogrampost-stroke cognitive impairmentprediction model

Identifiers

PMID40904821
PMCPMC12402937

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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.