Evidence map›Paper›PMID 42246052›Full record

ArticleFrontiers in neurology

Identifying key predictors of post-stroke depression and cognitive impairment in acute stroke survivors.

Zhiwen Yan, Huan Zhao, Jianjun Chen, Fang Liu, Lei Gong, Yingli Li, Jie Zhang, Mi Xiao, Jun Mu

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zhiwen Yan *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huan Zhao *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jianjun ChenChongqing Key Laboratory of Neurobiology, Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Fang LiuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lei GongDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yingli LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie ZhangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mi XiaoDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jun MuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) are prevalent complications in aging stroke survivors and are often overlooked due to the lack of early diagnostic indicators, leading to poor prognosis. Identifying reliable predictors is crucial for timely intervention. Methods: This prospective cohort study followed 78 acute stroke survivors for 6 months. A composite neuropsychological outcome-defined as the development of PSD and/or PSCI-was determined using the Diagnostic and Statistical Manual of Mental Disorders-5th Edition (DSM-5) and NINDS-CSN criteria. To account for the limited sample size, multivariable Firth's penalized logistic regression was employed to identify independent predictors, generating robust odds ratios (ORs) and 95% confidence intervals (CIs). An exploratory classification and regression tree (CART) analysis was also conducted for hypothesis generation. Results: The final cohort comprised 78 acute ischemic stroke survivors with a median age of 62 years (IQR 51-71). Among these participants, 26.0% were women, and the median admission score on the National Institutes of Health Stroke Scale (NIHSS) was 3 (IQR 1-5). Within 6 months, 56 patients (71.8%) developed the composite outcome (13 experienced PSCI alone, 24 had PSD alone, and 19 had both conditions). A multivariable analysis revealed that right hemisphere lesions (OR = 9.019, 95% CI: 1.329-61.213, Conclusion: Right hemisphere lesions, early emotional distress, and baseline cognitive vulnerability independently predicted a high risk of composite neuropsychological impairment at 6 months post-stroke. Rather than serving merely as novel biomarkers, high baseline PHQ-9 scores and low MMSE scores reflected the persistence of early distress and poor cognitive reserve, respectively. These highly accessible clinical parameters facilitate early risk stratification, emphasizing the absolute need for immediate psychological triage and integrated, long-term cognitive-emotional monitoring.

Indexed as

biomarkerspost-stroke cognitive impairmentpost-stroke depressionrisk factorsstroke

Identifiers

PMID42246052
PMCPMC13229621

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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.