Evidence map›Paper›PMID 41296485›Full record

ArticleJAMA network open2025

Risk of Late-Onset Depression in Long-Term Survivors of Breast, Prostate, and Colorectal Cancer.

Melissa Taylor, Sarah J Westvold, Jessica B Long, Terry Hyslop, Andrea Silber, Rebecca Forman, Faiza Yasin, Tendai Kwaramba, Shi-Yi Wang, Michael S Leapman and 7 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

17 authors.

Melissa TaylorDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Sarah J WestvoldDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Jessica B LongDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Terry HyslopSidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania.
Andrea SilberDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Rebecca FormanDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Faiza YasinDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Tendai KwarambaDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Shi-Yi WangYale Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, New Haven, Connecticut.
Michael S LeapmanDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Michael CecchiniDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Ira LeedsYale Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, New Haven, Connecticut.
Lisa SpeesLineberger Comprehensive Cancer Center, Chapel Hill, North Carolina.
Stephanie B WheelerLineberger Comprehensive Cancer Center, Chapel Hill, North Carolina.
Cary P GrossDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Kevin OeffingerDepartment of Medicine, Duke University, Durham, North Carolina.
Michaela A DinanYale Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The prevalence of depression is higher in cancer survivors than in the general population. As the long-term cancer survivor population increases, it is increasingly important to understand risk factors for late-onset depression. Objective: To identify risk factors associated with late-onset depression in long-term (5-year) survivors of breast, prostate, or colorectal cancer. Design, Setting, and Participants: This retrospective cohort study used 2022 linkage of Surveillance, Epidemiology, and End Results (SEER) and Medicare data to identify 5-year survivors of breast, prostate, or colorectal cancer 66 years or older who were enrolled in fee-for-service Medicare and had no previous depression diagnosis. Long-term survivors were diagnosed with cancer between January 1, 2007, and December 31, 2012, and followed up between January 1, 2008, and December 31, 2020. Data analysis was performed from August 2024 to July 2025. Exposures: Sociodemographic and cancer-specific characteristics, treatment within 1 year after diagnosis, comorbidities within 1 year before cancer diagnosis, and previous diagnosis of anxiety. Main Outcomes and Measures: The primary outcome was late-onset depression 5 to 10 years after cancer diagnosis, identified using a validated claims-based algorithm. Analyses were conducted separately for each survivor cohort. Fine-Gray subdistribution hazard regression, accounting for the competing risk of mortality, was used to identify factors associated with late-onset depression. Results: A total of 53 769 survivors were identified, including 13 265 breast, 26 979 prostate, and 13 525 colorectal cancer survivors (mean [SD] age, 74.1 [5.8] years; 31 279 [61.9%] male; 2375 [4.4%] Asian or Pacific Islander, 2691 [5.0%] Hispanic, 3906 [7.3%] non-Hispanic Black, 43 986 [81.8%] non-Hispanic White, and 811 [1.5%] other or unknown) were identified. The 5-year risk of late-onset depression was highest in breast cancer survivors (13.3% [1768 of 13 265]), compared with prostate (8.7% [2360 of 26 979]) and colorectal (11.8% [1591 of 13 525]) cancer survivors. Older age was associated with greater hazard of depression among some categories (eg, prostate cancer survivors aged ≥90 years vs 71-74 years: HR, 1.57; 95% CI, 1.10-2.24) but not among others (eg, colorectal cancer survivors aged ≥90 years vs 71-74 years: HR, 1.02; 95% CI, 0.84-1.24). Variables that were consistently associated with greater hazard of depression included Medicare-Medicaid dual eligibility (eg, dual eligible breast cancer survivors vs non-dual eligible: HR, 1.38; 95% CI, 1.22-1.57), anxiety (eg, prostate cancer survivors: HR, 2.82; 95% CI, 2.47-3.22), and comorbidity burden (eg, breast cancer survivors: HR, 1.33; 95% CI, 1.12-1.57). In prostate cancer survivors, receipt of radiotherapy with or without androgen deprivation therapy was also associated with higher risk (HR, 1.22; 95% CI, 1.10-1.36). The risk of depression among survivors in the high-risk tertile was twice as high compared with the low-risk tertile. Conclusions and Relevance: In this cohort study of long-term cancer survivors, Medicare and Medicaid dual eligibility, higher comorbidity burden, and preexisting anxiety were independently associated with greater risk of late-onset depression. These findings suggest that these risk factors may be used to proactively inform survivorship care during the transition from cancer surveillance to preventive care, which could reduce the risk of inconsistent follow-up care for survivors that may drive socioeconomic and racial and ethnic disparities in depression screening and treatment.

Indexed as

Breast NeoplasmsCancer SurvivorsColorectal NeoplasmsDepressionProstatic NeoplasmsAgedAged, 80 and overFemaleHumansMaleRetrospective StudiesRisk FactorsSEER ProgramUnited States

Identifiers

PMID41296485
PMCPMC12658655

What OpenQuestion holds

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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.