Abstract 5073: Disparities in timeliness of cancer diagnosis across a multi-site academic health system

Abstract Background: Early cancer diagnosis is crucial for improving survival and quality of life. Understanding which patient populations are at higher risk for late-stage diagnosis within a healthcare system is a crucial step toward achieving health equity. This study examines demographic, clinical, and socioeconomic factors associated with late-stage diagnosis, defined as stage III/IV diagnoses using the American Joint Committee on Cancer (AJCC) criteria. Methods: A retrospective cohort study of 12,721 patients diagnosed with breast, colorectal, or lung cancer within the University of California health system database. Multivariable logistic regression was used to identify various factors associated with late-stage diagnosis. Results: 14.1% of patients were diagnosed at a late-stage (stage III/IV). In adjusted analyses, patients with colorectal (OR: 4.76; 95% CI: 4.12-5.50) and lung cancer (OR: 12.82; 95% CI: 11.01-14.92) had significantly higher odds of late-stage diagnosis compared to breast cancer (reference group). A higher Area Deprivation Index (ADI) was significantly associated with increased odds of late-stage diagnosis (OR: 1.03 per 1-unit increase; 95% CI: 1.01-1.05). Neither race nor ethnicity was an independent predictor of late-stage diagnosis in the final adjusted model. Conclusion: Cancer type is the strongest predictor of a late-stage diagnosis. Additionally, greater neighborhood-level socioeconomic disadvantage (measured by ADI) is a significant, independent risk factor. These findings highlight the need for targeted screening and diagnostic interventions that incorporate geospatial analyses, particularly for lung and colorectal cancer patients in socioeconomically disadvantaged communities. Citation Format: Vivian Hoang Tran, Suraj M. Rajan, Matthew P. Banegas, Winta Mehtsun, Brent Rose, James Murphy, Melody Schiaffino, Joshua Demb, Noe C. Crespo, Humberto Parada, Corinne McDaniels-Davidson, Elena Martinez. Disparities in timeliness of cancer diagnosis across a multi-site academic health system [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5073.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-5073
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
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article

Abstract 5073: Disparities in timeliness of cancer diagnosis across a multi-site academic health system

Humberto Parada, Noé C. Crespo, Joshua Demb, Brent Shane Rose et al.
Cancer Research
Cardiovascular Health and Risk Factors
article

Abstract 5073: Disparities in timeliness of cancer diagnosis across a multi-site academic health system

Humberto Parada, Noé C. Crespo, Joshua Demb, Brent Shane Rose, Winta T. Mehtsun, Suraj Rajan, Corinne McDaniels-Davidson, Elena Martinez, Matthew P. Banegas, Vivian Hoang Tran, Melody Schiaffino, James Murphy
article en

Abstract

Abstract Background: Early cancer diagnosis is crucial for improving survival and quality of life. Understanding which patient populations are at higher risk for late-stage diagnosis within a healthcare system is a crucial step toward achieving health equity. This study examines demographic, clinical, and socioeconomic factors associated with late-stage diagnosis, defined as stage III/IV diagnoses using the American Joint Committee on Cancer (AJCC) criteria. Methods: A retrospective cohort study of 12,721 patients diagnosed with breast, colorectal, or lung cancer within the University of California health system database. Multivariable logistic regression was used to identify various factors associated with late-stage diagnosis. Results: 14.1% of patients were diagnosed at a late-stage (stage III/IV). In adjusted analyses, patients with colorectal (OR: 4.76; 95% CI: 4.12-5.50) and lung cancer (OR: 12.82; 95% CI: 11.01-14.92) had significantly higher odds of late-stage diagnosis compared to breast cancer (reference group). A higher Area Deprivation Index (ADI) was significantly associated with increased odds of late-stage diagnosis (OR: 1.03 per 1-unit increase; 95% CI: 1.01-1.05). Neither race nor ethnicity was an independent predictor of late-stage diagnosis in the final adjusted model. Conclusion: Cancer type is the strongest predictor of a late-stage diagnosis. Additionally, greater neighborhood-level socioeconomic disadvantage (measured by ADI) is a significant, independent risk factor. These findings highlight the need for targeted screening and diagnostic interventions that incorporate geospatial analyses, particularly for lung and colorectal cancer patients in socioeconomically disadvantaged communities. Citation Format: Vivian Hoang Tran, Suraj M. Rajan, Matthew P. Banegas, Winta Mehtsun, Brent Rose, James Murphy, Melody Schiaffino, Joshua Demb, Noe C. Crespo, Humberto Parada, Corinne McDaniels-Davidson, Elena Martinez. Disparities in timeliness of cancer diagnosis across a multi-site academic health system [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5073.

Cancer ResearchVol. 86(7_Supplement)
San Diego State University (US), University of California San Diego (US), Moores Cancer Center
No poverty
Openalex Percentile: Top 29%
Cardiovascular Health and Risk Factors
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