Evidence map›Paper›PMID 29719354›Full record

ArticleShanghai archives of psychiatry2018

The Study of White Matter Hyperintensity (WMH) and Factors Related to Geriatric Late-Onset Depression.

Jinghua Wang, Wei Li, Ling Yue, Bo Hong, Na An, Guanjun Li, Shifu Xiao

Abstract read
In one paragraph

Article in Shanghai archives of psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

7 authors.

Jinghua WangAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei LiAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ling YueAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bo HongAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Na AnAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guanjun LiAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shifu XiaoAlzheimer's Disease and Related Disorders Center of the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeriatric depression is one of the most common and harmful mental illnesses seen in the elderly. However, there are few studies focusing on the relationship between late-onset depression (LOD) and social and psychological factors, as well as brain structure.

aimsTo explore factors related to late-onset depression (LOD) in elderly patients.

methods24 first onset LOD patients over 60 years old (meeting ICD-10 diagnostic criteria for depression) and 23 non-depressed elders were selected for inclusion into this study. Scale assessments, including Fazelasscale for white matter hyperintensity (WMH) high signal level and the MTA-scale for medial temporal lobe atrophy levels, were combined with general demography and sociology data to find factors related to LOD.

resultsThere was no significant difference in age (

conclusionScores on the WMH, religious beliefs and family harmony are all potentially related to LOD in elderly patients.

Indexed as

Family harmonyGeriatric depressionLate onsetMRIReligious beliefWhite matter hyperintensity

Identifiers

PMID29719354
PMCPMC5925594

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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.