Evidence map›Paper›PMID 35054785›Full record

SynthesisInternational journal of molecular sciences2022

Potential Biomarkers for Post-Stroke Cognitive Impairment: A Systematic Review and Meta-Analysis.

Ka Young Kim, Ki Young Shin, Keun-A Chang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 7 pooled it
18.0field-weighted citation impact, top 1% of its field
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

71 citing papers in PubMed, 7 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  8. Article
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  12. Lipid metabolism, microglia, and stroke.Neural regeneration research · 2026
    Article
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  14. Observational
  15. Longitudinal plasma interleukin-6 and post-stroke cognitive outcomes: The Stroke-IMPaCT study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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11 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Ka Young KimDepartment of Nursing, College of Nursing, Gachon University, Incheon 21936, Korea.ORCID 0000-0003-3705-6449
Ki Young ShinBio-MAX Institute, Seoul National University, Seoul 08826, Korea.
Keun-A ChangNeuroscience Research Institute, Gachon University, Incheon 21565, Korea.ORCID 0000-0002-6157-6340
Gachon University · KRSeoul National University · KR

Funding

National Research Foundation of Korea 2020M3A9E4104384National Research Foundation of Korea 2020R1I1A1A01070793
6 · The paper itself

Abstract

Stroke is a primary debilitating disease in adults, occurring in 15 million individuals each year and causing high mortality and disability rates. The latest estimate revealed that stroke is currently the second leading cause of death worldwide. Post-stroke cognitive impairment (PSCI), one of the major complications after stroke, is frequently underdiagnosed. However, stroke has been reported to increase the risk of cognitive impairment by at least five to eight times. In recent decades, peripheral blood molecular biomarkers for stroke have emerged as diagnostic, prognostic, and therapeutic targets. In this study, we aimed to evaluate some blood-derived proteins for stroke, especially related to brain damage and cognitive impairments, by conducting a systematic review and meta-analysis and discussing the possibility of these proteins as biomarkers for PSCI. Articles published before 26 July 2021 were searched in PubMed, Embase, the Web of Science, and the Cochrane Library to identify all relevant studies reporting blood biomarkers in patients with stroke. Among 1820 articles, 40 were finally identified for this study. We meta-analyzed eight peripheral biomarker candidates: homocysteine (Hcy), high-density lipoprotein cholesterol (HDL-C), C-reactive protein (CRP), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), uric acid, and glycated hemoglobin (HbA1c). The Hcy, CRP, TC, and LDL-C levels were significantly higher in patients with PSCI than in the non-PSCI group; however, the HDL-C, TG, uric acid, and HbA1c levels were not different between the two groups. Based on our findings, we suggest the Hcy, CRP, TC, and LDL-C as possible biomarkers in patients with post-stroke cognitive impairment. Thus, certain blood proteins could be suggested as effective biomarkers for PSCI.

Indexed as

BiomarkersCognitive DysfunctionHumansStrokeBiomarkersblood biomarkercognitive impairmentdementiapost-stroke cognitive impairmentstroke

Identifiers

PMID35054785
PMCPMC8775398
OpenAlexW4206017711

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.