Evidence map›Paper›PMID 36533171›Full record

ArticleFrontiers in aging neuroscience2022

Correlations among peripheral blood markers, white matter hyperintensity, and cognitive function in patients with non-disabling ischemic cerebrovascular events.

Binghan Li, Bingying Du, Zhengsheng Gu, Chenghao Wu, Yuhao Tan, Chenrui Song, Yawen Xu, Ge Yin, Xin Gao, Weisen Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Serum albumin and white matter hyperintensities.Translational psychiatry · 2024
    Article
  5. Article
  6. Article
  7. Article
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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

12 authors at 2 institutions in 1 country.

Binghan LiDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Bingying DuDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Zhengsheng GuDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Chenghao WuDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Yuhao TanDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Chenrui SongDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Yawen XuDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Ge YinDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Xin GaoDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Weisen WangDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Xu SunDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Xiaoying BiDepartment of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Changhai Hospital · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Both inflammation and cerebral white matter injury are closely associated with vascular cognitive impairment (VCI). The aim of this study was to analyze the correlation between peripheral serological markers, white matter injury, and cognitive function in patients with non-disabling ischemic cerebrovascular events (NICE); to identify potential biological markers for the diagnosis and prediction of VCI; and to provide a basis for the early diagnosis and intervention of VCI. Methods: We collected clinical data, along with demographic and medical history data, from 151 NICE patients. Fasting venous blood samples were collected. Based on the Montreal Cognitive Assessment (MoCA) after admission, we divided the patients into normal cognitive function (NCF) and VCI groups, and then classified them into mild white matter hyperintensity (mWMH) and severe white matter hyperintensity (sWMH) based on Fazekas scores. The differences in serological marker levels were compared between the cognitive function groups and the white matter hyperintensity groups. Binary logistic regression models and receiver operating characteristic curves were used to analyze the diagnostic predictive value of serological markers for VCI in patients with NICE and in the white matter hyperintensity subgroups. Results: Among 151 patients with NICE, 95 were male and 56 were female. Lymphocyte count (OR = 0.405, Conclusion: Lymphocyte count, red blood cell count, and hemoglobin level were independent protective factors for cognitive function in patients with NICE; they can be used as potential biological markers to distinguish VCI in patients with NICE and are applicable to subgroups of patients with mWMH.

Indexed as

cognitionnon-disabling ischemic cerebrovascular eventsserum biomarkervascular cognitive impairmentwhite matter hyperintensity

Identifiers

PMID36533171
PMCPMC9755852
OpenAlexW4311185739

What OpenQuestion holds

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LicenceCC BY
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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.