Colorectal cancer stage at diagnosis by socioeconomic and urban/rural status in California, 1988–2000

Parikh‐Patel, Arti; Bates, Janet H.; Campleman, Sharan L.

doi:10.1002/cncr.22016

Cited by 103 publications

(91 citation statements)

References 97 publications

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“…Cancer screening rates of other malignancies (for example, cervical and colorectal cancer) have been shown to vary by urban vs rural populations. 17,18 This finding is concerning given that we also found men in rural counties who had lower odds of receiving treatment. Conversely, this could represent an overutilization of treatment in urban areas which erroneously portrays a relative lower utilization in the rural areas.…”

Section: Discussionmentioning

confidence: 74%

Variation in prostate cancer treatment associated with population density of the county of residence

Cary

Odisho

Cooperberg

2016

Prostate Cancer Prostatic Dis

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BACKGROUND: We sought to assess variation in the primary treatment of prostate cancer by examining the effect of population density of the county of residence on treatment for clinically localized prostate cancer and quantify variation in primary treatment attributable to the county and state level. METHODS: A total 138 226 men with clinically localized prostate cancer in the Surveillance, Epidemiology and End Result (SEER) database in 2005 through 2008 were analyzed. The main association of interest was between prostate cancer treatment and population density using multilevel hierarchical logit models while accounting for the random effects of counties nested within SEER regions. To quantify the effect of county and SEER region on individual treatment, the percent of total variance in treatment attributable to county of residence and SEER site was estimated with residual intraclass correlation coefficients. RESULTS: Men with localized prostate cancer in metropolitan counties had 23% higher odds of being treated with surgery or radiation compared with men in rural counties, controlling for number of urologists per county as well as clinical and sociodemographic characteristics. Three percent (95% confidence interval (CI): 1.2-6.2%) of the total variation in treatment was attributable to SEER site, while 6% (95% CI: 4.3-9.0%) of variation was attributable to county of residence, adjusting for clinical and sociodemographic characteristics. CONCLUSIONS: Variation in treatment for localized prostate cancer exists for men living in different population-dense counties of the country. These findings highlight the importance of comparative effectiveness research to improve understanding of this variation and lead to a reduction in unwarranted variation.

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Section: Discussionmentioning

confidence: 74%

Variation in prostate cancer treatment associated with population density of the county of residence

Cary

Odisho

Cooperberg

2016

Prostate Cancer Prostatic Dis

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“…We did a retrospective, case-only analysis of pancreatic cancer cases in the California Cancer Registry (CCR) database. The CCR is the largest contiguous-area, population-based cancer registry in the world, collecting >130,000 new cancer cases per year in California, as described elsewhere (6,14). The state of California legally mandated cancer reporting in 1988; standardized data collection procedures and quality control procedures have been in place ever since (15,16).…”

Section: Methodsmentioning

confidence: 99%

“…The socioeconomic status variable used is a composite index based on principle component analysis of census block -level CCR data linked to census data assessing: education level, median household income, proportion below 200% poverty level, median house value, median rent, percentage of those employed, and percentage of those with blue-collar employment. Cases diagnosed before 1996 were linked to 1990 census data, and cases diagnosed after 1996 were linked to 2000 census data, as previously described (14). Quintiles for the socioeconomic status score were used for analysis, with socioeconomic status 1 and 5 denoting the lowest and highest socioeconomic status quintiles, respectively.…”

Section: Methodsmentioning

confidence: 99%

A Population-Based, Descriptive Analysis of Malignant Intraductal Papillary Mucinous Neoplasms of the Pancreas

Ziogas²,

Rhee³

et al. 2008

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Intraductal papillary mucinous neoplasms (IPMN) are distinct precursor lesions that can progress to pancreatic adenocarcinoma; thus, it has been of particular interest to cancer prevention researchers. We set out to do a population-based analysis of malignant IPMNs compared with other pancreatic subtypes to better delineate its characteristics and explore implications for prevention and management. Methods: We conducted a case-only analysis of California Cancer Registry data (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007), including descriptive analysis of relevant clinical variables. Overall survival univariate analyses were conducted using the Kaplan-Meier method. Multivariate survival analyses were done using Cox proportional hazards ratios. Results: Overall, 15,296 pancreatic cancer cases were identified, including incident cases of 10,186 adenocarcinomas, 880 mucinous tumors, 568 endocrine tumors, 3,619 carcinoma not otherwise specified tumors, and 43 malignant IPMNs. Thirty-three (80.5%) IPMN cases

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“…registry in the world, collecting >130,000 new cancer cases yearly in California as described elsewhere (8). The state of California legally mandated cancer reporting in 1988; standardized data collection procedures and quality control procedures have been in place ever since (9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

“…The SES variable used is a composite index based on principle component analysis of census block level CCR data linked to census data assessing: education level, median household income, proportion <200% poverty level, median house value, median rent, percentage employed, and percentage with blue-collar employment. Cases diagnosed before 1996 were linked to 1990 census data, and cases diagnosed after 1996 were linked to 2000 census data as described previously (8). Geocoding to a particular street address in CCR is not available for 5.5% of cases, and in these instances, cases were randomly allocated to census block groups within their county of origin as described previously (8).…”

Section: Introductionmentioning

confidence: 99%

Race, Socioeconomic Status, Treatment, and Survival Time among Pancreatic Cancer Cases in California

Zell

Rhee²,

Ziogas

et al. 2007

Cancer Epidemiology, Biomarkers &Amp; Prevention

129

120

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Background: Poor survival in pancreatic adenocarcinoma is associated with African-American race and also with low socioeconomic status (SES). However, it is not known whether the observed poor survival of African-American pancreatic adenocarcinoma cases is due to SES itself and/or treatment disparities. We set out to determine this using the large, population-based California Cancer Registry (CCR) database as a model. Methods: We conducted a case-only analysis of CCR data (1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003), including descriptive analysis of relevant clinical variables and SES. The SES variable used has been derived from principle component analysis of census block level CCR data linked to census data to address seven major indicators of SES. Overall survival univariate analyses were conducted using the Kaplan-Meier method. Multivariate survival analyses were done using Cox proportional hazards ratios (HR).

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Colorectal cancer stage at diagnosis by socioeconomic and urban/rural status in California, 1988–2000

Cited by 103 publications

References 97 publications

Variation in prostate cancer treatment associated with population density of the county of residence

Variation in prostate cancer treatment associated with population density of the county of residence

A Population-Based, Descriptive Analysis of Malignant Intraductal Papillary Mucinous Neoplasms of the Pancreas

Race, Socioeconomic Status, Treatment, and Survival Time among Pancreatic Cancer Cases in California

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