Evidence map›Paper›PMID 36992877›Full record

ArticleFrontiers in public health2023

Network analysis of somatic symptoms in Chinese patients with depressive disorder.

Yang Li, Shoumei Jia, Baohua Cao, Li Chen, Zhongying Shi, Hao Zhang

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Yang LiDepartment of Nursing, Air Force Military Medical University, Xi'an, Shanxi, China.
Shoumei JiaSchool of Nursing, Fudan University, Shanghai, China.
Baohua CaoDepartment of Nursing, Air Force Military Medical University, Xi'an, Shanxi, China.
Li ChenDepartment of Nursing, Shanghai Mental Health Center, Shanghai, China.
Zhongying ShiDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Hao ZhangMedical Department, The Chinese People's Liberation Army 985th Hospital, Taiyuan, Shanxi, China.
Air Force Medical University · CNChinese People's Liberation Army · CNFudan University · CNFudan University Shanghai Cancer Center · CNShanghai Mental Health Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Network theory conceptualizes somatic symptoms as a network of individual symptoms that are interconnected and influenced by each other. In this conceptualization, the network's central symptoms have the strongest effect on other symptoms. Clinical symptoms of patients with depressive disorders are largely determined by their sociocultural context. To our knowledge, no previous study has investigated the network structure of somatic symptoms among Chinese patients with depressive disorders. The aim of this study was to characterize the somatic symptoms network structure in patients with depressive disorders in Shanghai, China. Method: A total of 177 participants were recruited between October 2018 and June 2019. The Chinese version of the Patient Health Questionnaire-15 was used to assess somatic symptoms. In order to quantify the somatic symptom network structure, indicators of "closeness," "strength," and "betweenness" were employed as identifiers for network-central symptoms. Result: The symptoms of "feeling your heart pound or race," "shortness of breath," and "back pain" had the highest centrality values, indicating that these symptoms were central to the somatic symptom networks. Feeling tired or mentally ill had the strongest positive correlation with insomnia or other sleep problems ( Discussion: Psychological and neurobiological research that offers insights into somatic symptoms may focus on these central symptoms as targets for treatment and future research.

Indexed as

Depressive DisorderMedically Unexplained SymptomsChinaHumansPainPatientsChinadepressionnetwork analysisPHQ-15somatic symptoms

Identifiers

PMID36992877
PMCPMC10040552
OpenAlexW4324087032

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.