ArticleJournal of epidemiology and global health2015
Between-ward disparities in colorectal cancer incidence and screening in Washington DC.
Article in Journal of epidemiology and global health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
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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.
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.
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Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- A systematic review of methods to estimate colorectal cancer incidence using population-based cancer registries.BMC medical research methodology · 2022Pooled it
- Statistical methods for measuring trends in colorectal cancer incidence in registries: A systematic review.Frontiers in oncology · 2022Pooled it
- Colorectal Cancer Knowledge and Screening Change in African Americans: Implementation Phase Results of the EPICS Cluster RCT.AJPM focus · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to investigate the incidence and determinants of colorectal cancer (CRC) and its screening in District of Columbia (DC), and identify modifiable risk factors. Data (2000-2009) from the DC Cancer Registry, Behavioral Risk Factor Surveillance System (BRFSS-DC) and Surveillance Epidemiology and End Results (SEER) were used to estimate CRC incidence in eight DC Wards. Risk factors and CRC screening were analyzed using uni-, bi-, and multivariable statistical methods with survey procedures in SAS (version 9.2) including binary, unconditional multivariable logistic regression analysis. Factors measured included stage of diagnosis, age, gender, race/ethnicity, smoking, alcohol, exercise, body weight, health insurance, education, employment, and income. Over the study time, CRC screening increased from 48.4% to 68.6%. Mean age at diagnosis was 67 years. CRC incidence is high in DC. Furthermore, CRC incidence rates in DC below 50 years' age were higher than the SEER18 average. Disparities exist between CRC incidence and screening among DC Wards. Identified risk factors for CRC are smoking, obesity, and low physical activity; screening was less prevalent among the uninsured and low socio-economic group. Local variations in CRC occurrence exist and may vary from average national experiences. Identification of local regions which vary from national trends in disease occurrence is important for comprehensive understanding of the disease in the community.
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Registered trials
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