ArticleBMC cancer2008
Comorbidity, age, race and stage at diagnosis in colorectal cancer: a retrospective, parallel analysis of two health systems.
Article in BMC cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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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.
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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.
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Who cites it
24 citing papers in PubMed, 52 citations in OpenAlex.
- The association between the mental health disorders, substance abuse, and tobacco use with head & neck cancer stage at diagnosis.Cancer causes & control : CCC · 2025Article
- Early colorectal cancer screening-no time to lose.World journal of gastroenterology · 2024Article
- Stage at diagnosis of colorectal cancer through diagnostic route: Who should be screened?World journal of gastroenterology · 2024Observational
- Impact of Patient Comorbidities on Presentation Stage of Breast and Colon Cancers.Annals of surgical oncology · 2023Article
- Article
- Antineoplastic drugs prescription during visits by adult cancer patients with comorbidities: findings from the 2010-2016 National Ambulatory Medical Care Survey.Cancer causes & control : CCC · 2020Article
- Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms.Nature reviews. Clinical oncology · 2019Review
- The effects of comorbidity on colorectal cancer mortality in an Australian cancer population.Scientific reports · 2019Article
- The effect of comorbidities on outcomes in colorectal cancer survivors: a population-based cohort study.Journal of cancer survivorship : research and practice · 2018Article
- Comorbidity Assessment in the National Cancer Database for Patients With Surgically Resected Breast, Colorectal, or Lung Cancer (AFT-01, -02, -03).Journal of oncology practice · 2018Article
- Factors Associated with Colorectal Cancer Among Jordanians: a Case- Control StudyAsian Pacific journal of cancer prevention : APJCP · 2018Article
- Influence of Socioeconomic Status, Comorbidity, and Disability on Late-stage Cancer Diagnosis.Osong public health and research perspectives · 2017Article
- The impact of patient comorbidity on cancer stage at diagnosis.British journal of cancer · 2015Article
- Patient perceptions regarding the likelihood of cure after surgical resection of lung and colorectal cancer.Cancer · 2015Article
- The impact of eliminating age inequalities in stage at diagnosis on breast cancer survival for older women.British journal of cancer · 2015Article
- Ki-67 Expression in CRC Lymph Node Metastasis Does Not Predict Survival.BioMed research international · 2015Article
- Lung and colorectal cancer treatment and outcomes in the Veterans Affairs health care system.Cancer management and research · 2015Review
- Article
- A comparative overview of general risk factors associated with the incidence of colorectal cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013Review
- An observational study of the prevalence and incidence of comorbid conditions in older women with breast cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2012Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundStage at diagnosis plays a significant role in colorectal cancer (CRC) survival. Understanding which factors contribute to a more advanced stage at diagnosis is vital to improving overall survival. Comorbidity, race, and age are known to impact receipt of cancer therapy and survival, but the relationship of these factors to stage at diagnosis of CRC is less clear. The objective of this study is to investigate how comorbidity, race and age influence stage of CRC diagnosis.
methodsTwo distinct healthcare populations in the United States (US) were retrospectively studied. Using the Cancer Care Outcomes Research and Surveillance Consortium database, we identified CRC patients treated at 15 Veterans Administration (VA) hospitals from 2003-2007. We assessed metastatic CRC patients treated from 2003-2006 at 10 non-VA, fee-for-service (FFS) practices. Stage at diagnosis was dichotomized (non-metastatic, metastatic). Race was dichotomized (white, non-white). Charlson comorbidity index and age at diagnosis were calculated. Associations between stage, comorbidity, race, and age were determined by logistic regression.
results342 VA and 340 FFS patients were included. Populations differed by the proportion of patients with metastatic CRC at diagnosis (VA 27% and FFS 77%) reflecting differences in eligibility criteria for inclusion. VA patients were mean (standard deviation; SD) age 67 (11), Charlson index 2.0 (1.0), and were 63% white. FFS patients were mean age 61 (13), Charlson index 1.6 (1.0), and were 73% white. In the VA cohort, higher comorbidity was associated with earlier stage at diagnosis after adjusting for age and race (odds ratio (OR) 0.76, 95% confidence interval (CI) 0.58-1.00; p = 0.045); no such significant relationship was identified in the FFS cohort (OR 1.09, 95% CI 0.82-1.44; p = 0.57). In both cohorts, no association was found between stage at diagnosis and either age or race.
conclusionHigher comorbidity may lead to earlier stage of CRC diagnosis. Multiple factors, perhaps including increased interactions with the healthcare system due to comorbidity, might contribute to this finding. Such increased interactions are seen among patients within a healthcare system like the VA system in the US versus sporadic interactions which may be seen with FFS healthcare.
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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.