Evidence map›Paper›PMID 38659682›Full record

SynthesisFrontiers in psychology2024

Factors influencing depressive symptoms in Chinese female breast cancer patients: a meta-analysis.

Qingyuan Zhang, Gen Wu, Jianfei Chen, Kui Fang, Qianqian Liu, Pan Zhang, Hongzhen Zhu, Chunhua Zhang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
–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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Efficacy and safety of modifiedFrontiers in pharmacology · 2026
    Pooled it
  3. Pooled it
  4. Trial
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

8 authors.

Qingyuan Zhang *Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Gen Wu *The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Jianfei ChenWuhan University, Wuhan, Hubei, China.
Kui FangThe First Hospital of China Medical University, Shenyang, Liaoning, China.
Qianqian LiuZhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Pan ZhangZhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Hongzhen ZhuZhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Chunhua ZhangZhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically evaluate and explore the factors influencing depressive symptoms in female breast cancer patients in China through meta-analysis. Methods: Relevant data were retrieved from cross-sectional studies or cohort studies on depressive symptoms of Chinese breast cancer within the following databases: PubMed, Embase, Cohrane Library, Web of 105 Science, Database of Medical Literature (CBM), Wan Fang Data, CNKI, and VIP databases. The literature screening, data extraction and literature quality evaluation were performed by two researchers by carefully reading the title, abstract and full text, and meta-analysis was performed using Stata 1.5 software after extracting relevant data. Results: Fourteen papers were finally included, with a cumulative total of 3,071 people surveyed, and a total of 1,298 breast cancer patients were detected with depression, with a detection rate of depressive symptoms of 42.26%; meta analysis showed that age less than 40 years old, unmarried, less than undergraduate education, monthly income <5,000 yuan, advanced breast cancer, radical breast cancer surgery, family history, living in rural areas, underlying disease stage and chemotherapy were associated with an increased incidence of depression in breast cancer patients. Conclusion: The detection rate of depressive symptoms in female breast cancer patients is high, and there is a need to strengthen depression-related psychological screening of breast cancer patients and provide them with individualized interventions to reduce the incidence of depression in breast cancer patients and to lower the level of depression already present in the patients.

Indexed as

breast cancerdepressionfemale patientsmeta-analysisrelated factors

Identifiers

PMID38659682
PMCPMC11039958

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.