Evidence map›Paper›PMID 39960259›Full record

ArticleCancer medicine2025

Inequities in the Time to Colon Cancer Diagnosis Among Individuals With Severe Psychiatric Illness.

Jonah H Gorodensky, Laura Davis, Rebecca Griffiths, Oyedeji Ayonrinde, Colleen Webber, Timothy P Hanna, Natalie Coburn, Alyson L Mahar

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review of factors associated with the patient and diagnostic intervals in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Pooled it
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.

Jonah H GorodenskyDivision of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada.ORCID https://orcid.org/0009-0009-2448-2749
Laura DavisDivision of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada.
Rebecca GriffithsICES Queen's, Queen's University, Kingston, Ontario, Canada.
Oyedeji AyonrindeDepartment of Psychiatry, Queen's University/Providence Care Hospital, Kingston, Ontario, Canada.
Colleen WebberOttawa Hospital Research Institute, Bruyère Research Institute, Ottawa, Ontario, Canada.
Timothy P HannaDivision of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0003-3228-6042
Natalie CoburnDepartment of Surgery, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Alyson L MaharDivision of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0002-6862-3760

Funding

Canadian Cancer Society Emerging Scholar Award 707149
6 · The paper itself

Abstract

introductionEarly colon cancer detection is critical for improving outcomes. The diagnostic interval is a useful approach to conceptualizing time-to-diagnosis within the healthcare system and understanding the diagnostic journey. Adults with severe psychiatric illness (SPI) are less likely to participate in cancer screening and more likely to be diagnosed with advanced cancers. We investigated the association between having an SPI and the colon cancer diagnostic interval.

methodsWe conducted a cross-sectional study of adults diagnosed with colon cancer in Ontario, Canada between 2007 and 2019 using administrative health data. Individuals with healthcare encounters consistent with pre-existing major depression, schizophrenia, bipolar disorder, or other non-organic psychotic illnesses were considered as having SPI. Individuals with an SPI-related hospitalization were categorized as having an inpatient SPI; the rest were considered outpatient. We calculated the diagnostic interval as the number of days from first colon cancer-related healthcare encounter to cancer diagnosis. Diagnostic pathways were assessed descriptively, including whether diagnosis was made symptomatically or with no symptom recorded. Quantile regression (stratified by symptom status) was used to quantify the association between SPI status and the diagnostic interval.

resultsWe identified 42,143 individuals with colon cancer: 40,884 with no history of mental illness, 835 with a history of outpatient SPI, and 424 with inpatient SPI. Adults with SPI were significantly more likely to be diagnosed symptomatically (inpatient: 89.9%, outpatient: 86.6%, no SPI: 80.9%, p < 0.001). Individuals with SPI experienced a significantly longer median symptomatic diagnostic interval and a similar median diagnostic interval when diagnosed with no symptom recorded, relative to those without a history of mental illness. After adjusting for covariates, the median symptomatic diagnostic interval was 48 days longer (95% CI 28, 68) among individuals with outpatient SPI and 55 days longer (95% CI 28, 82) among individuals with inpatient SPI compared to those with no SPI.

conclusionIndividuals with SPI were more likely to be diagnosed symptomatically and had longer symptomatic diagnostic intervals than those without. This study represents a first step in targeting and improving cancer diagnostic processes for individuals with SPI.

Indexed as

Colonic NeoplasmsEarly Detection of CancerHealthcare DisparitiesMental DisordersAdultAgedCross-Sectional StudiesDelayed DiagnosisFemaleHumansMaleMiddle AgedOntarioTime Factorscolon cancerdiagnostic delaydiagnostic intervaldiagnostic pathwaysinequalitiesinequitiessevere psychiatric illness

Identifiers

PMID39960259
PMCPMC11831619

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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.