Evidence map›Paper›PMID 28143956›Full record

ArticleBioscience reports2017

Correlation between serum S100β protein levels and cognitive dysfunction in patients with cerebral small vessel disease: a case-control study.

Fei Wang, Zhi-Rong Zou, Dong Yuan, Yi Gong, Li Zhang, Xun Chen, Tao Sun, Hua-Lin Yu

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 32% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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 at 1 institution in 1 country.

Fei WangSecond Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, P.R. China.
Zhi-Rong ZouFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, P.R. China.
Dong YuanSecond Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, P.R. China.
Yi GongSecond Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, P.R. China.
Li ZhangFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, P.R. China.
Xun ChenSecond Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, P.R. China.
Tao SunSecond Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, P.R. China DRyuhualin@163.com tao_sunn@163.com.
Hua-Lin YuSecond Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, P.R. China DRyuhualin@163.com tao_sunn@163.com.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was designed to explore the correlation between serum S100β levels and cognitive dysfunction in patients with cerebral small vessel disease (SVD). A total of 172 SVD patients participated in the study, and they were assigned to patients with no cognitive impairment (NCI group) and those with vascular cognitive impairment no dementia (VCIND group). In total, 105 people were recruited into the normal control group. Serum S100β protein level was detected by ELISA. A receiver operating characteristic (ROC) curve was employed for the predictive value of serum S100β in diagnosing SVD with cognitive dysfunction. Pearson correlation analysis was used to examine the association of S100β level with mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) and the association of S100β levels with hypertension. Logistic regression analysis was used to analyze risk factors of SVD. The serum S100β levels in the VCIND group were higher than those in the NCI and normal control groups. Logistic regression analysis revealed that a high serum S100β protein level, hypertension, and high low density lipoprotein-cholesterol (LDL-C) level were the independent risk factors for SVD. In addition, hypertension patients showed higher S100β levels than those with normal blood pressure and the normal control group, and there was a positive correlation between S100β level and blood pressure. The concentration of serum S100β level was related to impairment of cognition function of VCIND patients, therefore, early detection of serum S100β was of great value for diagnosis of SVD.

Indexed as

AgedCase-Control StudiesCerebral Small Vessel DiseasesCholesterol, LDLCognitive DysfunctionEnzyme-Linked Immunosorbent AssayFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedNeuropsychological TestsRisk FactorsROC CurveS100 Calcium Binding Protein beta SubunitCholesterol, LDLS100 Calcium Binding Protein beta SubunitCerebral small vessel diseaseCognitive dysfunctionMini-mental state examinationMontreal cognitive assessmentSerum S100β

Identifiers

PMID28143956
PMCPMC5484012
OpenAlexW2584939073

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.