Evidence map›Paper›PMID 34665238›Full record

ArticleJAMA network open2021

Analysis of Suicide After Cancer Diagnosis by US County-Level Income and Rural vs Urban Designation, 2000-2016.

Ryan Suk, Young-Rock Hong, Rachel M Wasserman, J Michael Swint, N Belinda Azenui, Kalyani B Sonawane, Alexander C Tsai, Ashish A Deshmukh

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Risk assessment and predictive modeling of suicide in multiple myeloma patients.Journal of cancer survivorship : research and practice · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Suicide rates among patients with first and second primary cancer.Epidemiology and psychiatric sciences · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Incidence and risk factors for suicidal ideation in a sample of Chinese patients with mixed cancer types.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  18. 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

8 authors.

Ryan SukCenter for Health Systems Research, Policy and Practice, Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston School of Public Health.
Young-Rock HongDepartment of Health Services Research, Management and Policy, College of Public Health and Health Professions, University of Florida, Gainesville.
Rachel M WassermanCenter for Healthcare Delivery Science, Nemours Children's Health System, Orlando, Florida.
J Michael SwintCenter for Health Systems Research, Policy and Practice, Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston School of Public Health.
N Belinda AzenuiDepartment of Economics, Denison University, Granville, Ohio.
Kalyani B SonawaneCenter for Health Services Research, Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston School of Public Health.
Alexander C TsaiCenter for Global Health and Mongan Institute, Massachusetts General Hospital, Boston.
Ashish A DeshmukhCenter for Health Services Research, Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston School of Public Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Studies suggest the risk of suicide among people with cancer diagnosis is higher compared with the general population. However, little is known about how suicide risk among people diagnosed with cancer might vary according to area-level income and rurality. Objective: To examine whether the risks and patterns of suicide mortality among people with a cancer diagnosis differ by US county-level median income and rural or urban status. Design, Setting, and Participants: A retrospective, population-based cohort study following up individuals who were diagnosed with cancer between January 1, 2000, and December 31, 2016, was conducted. The Surveillance, Epidemiology, and End Results Program 18 registries (SEER 18) database was used to obtain data on persons diagnosed with a first primary malignant tumor. Comparisons with the general US population were based on mortality data collected by the National Center for Health Statistics. Analyses were conducted from February 22 to October 14, 2020. Exposures: County-level median household income and urban or rural status. Main Outcomes and Measures: Standardized mortality ratios (SMRs) of suicide deaths and annual percentage changes (APCs) of SMRs. Results: The SEER 18 database included 5 362 782 persons with cancer diagnoses living in 635 counties. Most study participants were men (51.2%), White (72.2%), and older than 65 years (49.7%). Among them, 6357 persons died of suicide (SMR, 1.41; 95% CI, 1.38-1.44). People with cancer living in the lowest-income counties had a significantly higher risk (SMR, 1.94; 95% CI, 1.76-2.13) than those in the highest-income counties (SMR, 1.30; 95% CI, 1.26-1.34). Those living in rural counties also had significantly higher SMR than those in urban counties (SMR, 1.81; 95% CI, 1.70-1.92 vs SMR, 1.35; 95% CI, 1.32-1.39). For all county groups, the SMRs were the highest within the first year following cancer diagnosis. However, among people living in the lowest-income counties, the risk remained significantly high even after 10 or more years following cancer diagnosis (SMR, 1.83; 95% CI, 1.31-2.48). The comparative risk of suicide mortality within 1 year following cancer diagnosis significantly decreased over the years but then plateaued in the highest-income (2005-2015: APC, 2.03%; 95% CI, -0.97% to 5.13%), lowest-income (2010-2015: APC, 4.80%; 95% CI, -19.97% to 37.24%), and rural (2004-2015: APC, 1.83; 95% CI, -1.98% to 5.79%) counties. Conclusions and Relevance: This cohort study showed disparities in suicide risks and their patterns among people diagnosed with cancer by county-level income and rural or urban status. The findings suggest that additional research and effort to provide psychological services addressing these disparities among people with cancer may be beneficial.

Indexed as

AgedCohort StudiesCross-Sectional StudiesFemaleHumansIncomeMaleMiddle AgedNeoplasmsRetrospective StudiesRural PopulationSuicideUrban Population

Identifiers

PMID34665238
PMCPMC8527360

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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.