Evidence map›Paper›PMID 29615939›Full record

ArticleFrontiers in psychiatry2018

Association Between Cerebral Microbleeds and Depression in the General Elderly Population: A Meta-Analysis.

Ruiming Wang, Keqin Liu, Xiaoyun Ye, Shenqiang Yan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 34% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The enigma of vascular depression in old age: a critical update.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    Review
  5. Article
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

4 authors at 3 institutions in 1 country.

Ruiming WangDepartment of Emergency, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.
Keqin LiuDepartment of Neurology, Hangzhou First People's Hospital, Hangzhou, China.
Xiaoyun YeDepartment of Nursing Education, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Shenqiang YanDepartment of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNHangzhou First People's Hospital · CNHangzhou Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt remains unclear whether cerebral microbleeds (CMBs) are associated with depression in the general elderly population. We thus performed a meta-analysis to evaluate the relationship between depression and CMBs.

methodsA systematic literature search was conducted in EBSCO, PubMed, and Web of Science for relevant studies that assessed the relationship between depression and the prevalence of CMBs.

resultsFive eligible studies including 7,328 patients were pooled in meta-analysis. The prevalence of CMBs was 18.0%. The prevalence of depression was 11.1%. The pooled analysis demonstrated odds ratio for CMBs and depression to be 1.187 (95% confidence interval 1.005-1.403;

conclusionOur meta-analysis of available published data indicated an increased prevalence of depression in the subjects with pre-existing CMBs. This finding supports the vascular depression hypothesis. Further studies are needed to investigate the role of CMBs in the pathogenesis and progression of depression, which might provide a potential target for the prevention and treatment.

Indexed as

depressionmagnetic resonance imagingmeta-analysismicrobleedsprevalence

Identifiers

PMID29615939
PMCPMC5868197
OpenAlexW2792865650

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.