Evidence map›Paper›PMID 33790640›Full record

ArticleInternational journal of general medicine2021

Coincident Patterns of Suicide Risk Among Adult Patients with a Primary Solid Tumor: A Large-Scale Population Study.

Wen Ma, Wentao Wu, Rong Fu, Shuai Zheng, Ruhai Bai, Jun Lyu

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. 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
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Suicide rates among patients with first and second primary cancer.Epidemiology and psychiatric sciences · 2023
    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

6 authors at 3 institutions in 1 country.

Wen Ma *Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Wentao Wu *School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, People's Republic of China.
Rong FuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, People's Republic of China.
Shuai ZhengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People's Republic of China.
Ruhai BaiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0001-5426-6291
Jun LyuClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0002-2237-8771
Xi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNFirst Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide rate is much higher in cancer patients than in general population. This study examined the suicide risk in survivors of primary solid tumor across 19 cancer sites considering risk coincident patterns based on area-based SES indicators.

methodsA retrospective search of the SEER database was conducted. Independent risk factors for suicide were identified using the Cox proportional-hazards model. Exploratory factor analysis and cluster analysis were used to create coincident patterns of SES factors.

resultsSuicide risk was higher for patients with a primary solid tumor who were older, male, white, unmarried, had no insurance, poorly differentiated, distant metastasis and did not undergo active treatment (especially surgery). The suicide risk was higher for patients living in areas with economic and education disadvantage, high levels of immigration and crowding, and high levels of residential instability. Concomitant presence of high economic and education disadvantage, high immigration and crowding levels and low residential instability, showed the highest risk of suicide.

conclusionIn order to mitigate suicidal risk, clinicians should pay more attention to patients who are older, male, white, not married, high levels of cancer severity, not received active treatment (especially surgery), and having no insurance. Identifying coincident patterns of suicide help further screen high suicidal risk patients based on area-based socioeconomic status.

Indexed as

cluster analysiscoincident patternsexploratory factor analysissocioeconomic statussolid tumorsuicide risk

Identifiers

PMID33790640
PMCPMC8006911
OpenAlexW3138498291

What OpenQuestion holds

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LicenceCC BY-NC
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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.