Evidence map›Paper›PMID 40556955›Full record

ArticleDepression and anxiety2025

Body Pain and Depressive Symptoms: Patterns and Associations in Middle-Aged and Older Chinese Adults.

Xiaohui Wu, Ruyan Huang, Yue Fei, Rongrong Zhong, Shuo Wang, Xiaojia Huang, Zuowei Wang, Yuncheng Zhu, Yiru Fang

Abstract read
In one paragraph

Article in Depression and anxiety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Relationship Between Pain and Depressive Symptoms in Middle-aged and Older Chinese Adults: A Cross-Lagged Longitudinal Analysis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  2. Observational
  3. 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

9 authors.

Xiaohui WuClinical Research Centre and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.ORCID 0000-0003-0928-7979
Ruyan HuangDivision of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai 200083, China.ORCID 0009-0002-7883-549X
Yue FeiDivision of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai 200083, China.ORCID 0009-0001-6224-3820
Rongrong ZhongClinical Research Centre and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.ORCID 0009-0009-9947-8082
Shuo WangClinical Research Centre and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.ORCID 0009-0004-3080-7988
Xiaojia HuangDivision of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai 200083, China.ORCID 0009-0004-9459-4467
Zuowei WangDivision of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai 200083, China.ORCID 0000-0002-1929-231X
Yuncheng ZhuDivision of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai 200083, China.ORCID 0000-0003-4686-8887
Yiru FangClinical Research Centre and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.ORCID 0000-0002-8748-9085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DepressionPainAgedChinaChronic DiseaseComorbidityCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedSeverity of Illness Indexbody painCHARLSchronic diseasesdepressionolder adults

Identifiers

PMID40556955
PMCPMC12187443

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.