Evidence map›Paper›PMID 42572194›Full record

ArticleCancer medicine2026

Frequency and Timing of Depression and Anxiety Diagnoses Following Cancer Diagnosis: A Multi-Center Cohort Study.

Suraj Manohar Rajan, Vivian Tran, Aaron-John Lee, Carol Y Ochoa-Dominguez, Joshua Demb, Melody K Schiaffino, Edmund Qiao, Tyler Seibert, James Murphy, Brent Rose and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Suraj Manohar RajanUC San Diego Herbert Wertheim School of Public Health and Human Longevity Science, San Diego, California, USA.ORCID https://orcid.org/0000-0002-4375-8183
Vivian TranCenter for Health Equity Education and Research, University of California, San Diego, California, USA.
Aaron-John LeeUC San Diego Herbert Wertheim School of Public Health and Human Longevity Science, San Diego, California, USA.
Carol Y Ochoa-DominguezCenter for Health Equity Education and Research, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-6946-3287
Joshua DembCenter for Health Equity Education and Research, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-3338-1730
Melody K SchiaffinoUC San Diego Herbert Wertheim School of Public Health and Human Longevity Science, San Diego, California, USA.ORCID https://orcid.org/0000-0002-5917-7383
Edmund QiaoCenter for Health Equity Education and Research, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0003-2185-9685
Tyler SeibertCenter for Health Equity Education and Research, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-4089-7399
James MurphyCenter for Health Equity Education and Research, University of California, San Diego, California, USA.
Brent RoseCenter for Health Equity Education and Research, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-3197-9552
Matthew P BanegasUC San Diego Herbert Wertheim School of Public Health and Human Longevity Science, San Diego, California, USA.ORCID https://orcid.org/0000-0002-6158-7162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety are common among individuals with cancer and are associated with adverse outcomes; however, the frequency, timing, and disparities of anxiety and depression diagnoses following cancer diagnosis remain incompletely characterized.

methodsWe conducted a retrospective, multi-center cohort study of 1,161,370 adults diagnosed with one of 10 common cancers between 2015 and 2025 within the University of California Health system using electronic health record data. Patients with depression or anxiety diagnoses in the year prior to cancer diagnosis were excluded. Incident anxiety and depression diagnoses were identified following cancer diagnosis. Fine-Gray competing risk regression models were used to examine factors associated with psychiatric diagnosis while accounting for death as a competing event.

resultsOverall, 22.2% of patients received a new anxiety or depression diagnosis after cancer diagnosis, including anxiety only (8.4%), depression only (5.7%), and comorbid depression and anxiety (8.2%). Although many diagnoses occurred within the first year, a substantial proportion were identified later. Female patients had higher hazards of depression, anxiety, and comorbid diagnoses compared with males. Asian patients had lower hazards across outcomes, while Hispanic or Latino patients and Medicaid-insured patients had higher hazards compared with reference groups. Timing varied by cancer type, with pancreatic cancer associated with the shortest time to diagnosis and prostate cancer with the longest.

conclusionsIncident depression and anxiety affect more than one in five patients following cancer diagnosis, with marked disparities by sociodemographic factors and cancer type. Delayed diagnoses highlight the need for longitudinal and equitable mental health screening throughout the cancer care continuum.

Indexed as

AnxietyDepressionNeoplasmsAdultAgedCaliforniaComorbidityFemaleHumansMaleMiddle AgedRetrospective StudiesTime Factors

Identifiers

PMID42572194
PMCPMC13454379

What Socratic 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 Socratic graph.