Evidence map›Paper›PMID 41398232›Full record

ArticleBMC neurology2025

Elevated circulation postsynaptic density protein 95 as a potential biomarker for predicting the diagnosis and prognosis of acute cerebral infarction.

Yan Dong, Zhangping He, Haohai Lin, Ziming Ye, Chao Qin, Pingping Li

Abstract read
In one paragraph

Article in BMC neurology, 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
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0citing papers in PubMed
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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

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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

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

6 authors.

Yan Dong *Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Zhangping He *Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Haohai LinDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Ziming YeDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Chao QinDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China. Mdqc6639@126.com.
Pingping LiDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China. lipingping02@gxmu.edu.cn.

Funding

Guangxi Natural Science Foundation 2024JJB140181the Natural Science Foundation of China 82260240the Natural Science Foundation of China 82301502
6 · The paper itself

Abstract

purposeIndices for the diagnosis of cerebral infarction (CI) and the prediction of prognosis are essential for timely and appropriate management. Plasma PSD95 levels, as a novel biomarker, have not yet been utilized for the diagnosis and prognosis of cerebral infarction. The purpose of this study was to investigate the correlation between plasma PSD95 levels and clinical characteristics as well as prognosis in patients with CI.

methodsA total of 105 patients diagnosed with CI and 80 control group (CP) were enrolled. Plasma samples were collected and PSD95 levels were measured using enzyme-linked immunosorbent assay (ELISA). Neurological deficits in patients were evaluated using the National Institutes of Health Stroke Scale (NIHSS). Statistical analyses were conducted to assess the associations between plasma PSD95 levels, clinical parameters, and prognostic outcomes.

resultsPlasma PSD95 levels were significantly elevated in CI patients compared to CP (p < 0.01). Furthermore, within the CI group, PSD95 levels exhibited a negative correlation with activated partial thromboplastin time (APTT) (p < 0.05) and a significant positive correlation with NIHSS scores assessed 6 months post-onset (p < 0.05).

conclusionPlasma PSD95 may serve as a potential diagnostic and prognostic biomarker for cerebral infarction.

Indexed as

Cerebral InfarctionDisks Large Homolog 4 ProteinAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisBiomarkersDisks Large Homolog 4 ProteinDLG4 protein, humanCerebral infarctionPrognosisPSD95

Identifiers

PMID41398232
PMCPMC12706960

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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.