Evidence map›Paper›PMID 40009260›Full record

ArticleMolecular neurobiology2025

Development and Validation of a Clinical Model (SHACEA) for Post-stroke Cognitive Impairment Prognosis Occurred at Acute Phase and Last to 6 Months.

Nuo Ma, Yichen Zhao, Xiulin Meng, Yiming Huang, Jiangping Ma, Xueyuan Liu, Guilin Meng

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Nuo Ma *Neurology Department, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai, 202157, People's Republic of China.
Yichen Zhao *Neurology Department, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai, 202157, People's Republic of China.
Xiulin MengGrand Hospital of Shuozhou, Shanxi Province, Shuozhou, 036000, People's Republic of China.
Yiming HuangNeurology Department, Shanghai Tenth People'S Hospital, Tongji University School of Medicine, Shanghai, 200092, People's Republic of China.
Jiangping MaNeurology Department, Shanghai Tenth People'S Hospital, Tongji University School of Medicine, Shanghai, 200092, People's Republic of China.
Xueyuan LiuNeurology Department, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai, 202157, People's Republic of China. Liuxy@tongji.edu.cn.
Guilin MengNeurology Department, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai, 202157, People's Republic of China. 2105561@tongji.edu.cn.ORCID http://orcid.org/0000-0002-4531-3938

Funding

China Postdoctoral Science Foundation 2023M732659National Natural Science Foundation of China No. 82101537 and 8207106Science and Technology Commission of Chongming District No. CKY2023-40Shanghai Health Commission No. 20234Y001Shanghai Science and Technology Commission No. 22Y31900204
6 · The paper itself

Abstract

Post-stroke cognitive impairment (PSCI) leads to poor long-term stroke outcomes, severely increasing social and economic burdens. It is helpful to identify and intervene in PSCI in the early stage. This study intends to develop a new clinical risk score for identifying stroke survivors at significant risk of PSCI from the acute phase to 6 months of onset and to validate the new score using both internal and external cohorts. Analysis aiming to evaluate prognostic factors of acute-phase cognitive impairment lasting 6 months was carried out using two independent datasets, with one for model development and the other for validation. All enrolled patients completed baseline demographic, clinical, and imaging data collection and cognitive function scale assessment. The follow-up period was 6 months after the stroke, and interviews and cognitive function assessments were completed. A multivariate logistic regression analysis was performed, and the most important predictors were finally screened for modeling a prediction model. Six months post-stroke, 39.19% maintained PSCI in the development dataset. The final nine-point SHACEA (Stenosis, Hyperintensity, Age, Chronic cortical infarcts, Education, Atrophy) had an AUROC of 0.87 (95% CI 0.69-0.92) and was overall predictive of PSCI (LR χ

Indexed as

Cognitive DysfunctionStrokeAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRisk FactorsTime FactorsAcute PhaseCognitive ImpairmentPrognosisRisk ScoreStroke

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.