Evidence map›Paper›PMID 37032510›Full record

ArticleBrain and behavior2023

Associations of deep medullary veins with vascular risk factors, laboratory indicators, and cerebral small vessel disease: A population-based study.

Yu Tian, Shan Li, Yingying Yang, Xueli Cai, Jing Jing, Suying Wang, Xia Meng, Lerong Mei, Aoming Jin, Dongxiao Yao and 4 more

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 2 institutions in 1 country.

Yu TianDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-9325-7769
Shan LiCerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
Yingying YangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xueli CaiDepartment of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
Jing JingDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Suying WangCerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
Xia MengDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lerong MeiCerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
Aoming JinDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Dongxiao YaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tiemin WeiDepartment of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-3082-6789
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-2725-2788
Capital Medical University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDeep medullary veins (DMVs) were not considered a typical marker of cerebral small vessel disease (CSVD) due to limited understanding of their involvement in pathology of CSVD. This study aimsto investigate potential vascular risk factors for DMVs and their associations with CSVD.

methodsIn total, 1909 community-dwelling participants were included in this analysis. Demographic, clinical, laboratory, and imaging data were collected. DMV scores (0-18) werecalculated as the sum of bilateral frontal, parietal, and occipital regional scores using a semiquantitative visual scale (0-3). The presence, total burden, and imaging markers of CSVD were assessed. Linear regression analyses were conducted to explore potential vascular factors for DMV scores. Binary and ordinal logistic regression analyses were performed to investigate the associations of DMV scores with CSVD and its markers.

resultsMean age was 61.8 (SD 6.5) years, and 1027 (53.8%) of participants were men. The median DMV scores were14 (IQR 12-16). DMV scores wererelated to age, male sex, body mass index, diastolic blood pressure, hypercholesterolaemia, atrial fibrillation, current drinking, total cholesterol, triglycerides, low-density lipoprotein, hemoglobin A1c, leukocytes, lymphocytes, hemoglobin, and platelets (p < .05). DMV scores wereassociated with the presence and total burden of CSVD (Rothwell's scale), modified white matter hyperintensity burden, and enlarged perivascular spaces in centrum semiovale (p < .05). However, these associations between DMV scores and CSVD disappeared after adjusting for potential confounders.

conclusionSeveral conventional vascular factors were associated with DMVs. The relationship between DMVs and CSVD was vulnerable, suggesting decreased visible and discontinuous DMVs may differ mechanistically from traditional markers of CSVD.

Indexed as

Cerebral Small Vessel DiseasesMagnetic Resonance ImagingBlood PressureFemaleHumansMaleMiddle AgedRegression AnalysisRisk Factorsagingcerebral small vessel diseasedeep medullary veinsenlarged perivascular spaceswhite matter hyperintensity

Identifiers

PMID37032510
PMCPMC10176017
OpenAlexW4362734999

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.