» Articles » PMID: 22406968

Representativeness of Participants in the Cancer Care Outcomes Research and Surveillance Consortium Relative to the Surveillance, Epidemiology, and End Results Program

Overview
Journal Med Care
Specialty Health Services
Date 2012 Mar 13
PMID 22406968
Citations 68
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The research goals of the Cancer Care Outcomes Research and Surveillance (CanCORS) Consortium are to determine how characteristics and beliefs of patients, providers, and health care organizations influence the treatments and outcomes of individuals with newly diagnosed lung and colorectal cancers. As CanCORS results will inform national policy, it is important to know how they generalize to the United States population with these cancers.

Research Design: This study assessed the representativeness of the CanCORS cohort of 10,547 patients with lung cancer (LC) or colorectal cancer (CRC) enrolled between 2003 and 2005. We compared characteristics (sex, race, age, and disease stage) with the Surveillance, Epidemiology, and End Results (SEER) population of 234,464 patients with new onset of these cancers during the CanCORS recruitment period.

Results: The CanCORS sample is well matched to the SEER Program for both cancers. In CanCORS, 41% LC/47% CRC were female versus 47% LC/49% CRC in SEER. African American, Hispanic, and Asian cases differed by no more than 5 percentage points between CanCORS and SEER. The SEER population is slightly older, with the percentage of patients older than 75 years 33.1% LC/37.3% CRC in SEER versus 26.9% LC/29.4% in CanCORS, and also has a slightly higher proportion of early stage patients. We also found that the CanCORS cohort was representative within specific SEER regions that map closely to CanCORS sites.

Conclusions: This study demonstrates that the CanCORS Consortium was successful in enrolling a demographically representative sample within the CanCORS regions.

Citing Articles

Comparing adult-child and spousal caregiver burden and potential contributors.

Fenton A, Keating N, Ornstein K, Kent E, Litzelman K, Rowland J Cancer. 2022; 128(10):2015-2024.

PMID: 35285946 PMC: 9038651. DOI: 10.1002/cncr.34164.


Association of Patient-Reported Physician Awareness of Complementary Medicine, Medical Care Experience and Care Quality.

Roydhouse J, Wilson I, Gutman R, Wallace R, Berman T, Keating N J Patient Exp. 2021; 8:23743735211049665.

PMID: 34722868 PMC: 8554556. DOI: 10.1177/23743735211049665.


Exploring the role of general practitioners in addressing financial toxicity in cancer patients.

Thamm C, Fox J, Hart N, Rhee J, Koczwara B, Emery J Support Care Cancer. 2021; 30(1):457-464.

PMID: 34309703 PMC: 8311635. DOI: 10.1007/s00520-021-06420-5.


Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data.

Comment L, Coull B, Zigler C, Valeri L Biometrics. 2021; 78(2):730-741.

PMID: 33527348 PMC: 8326294. DOI: 10.1111/biom.13436.


Patient and proxy reports regarding the experience of treatment decision-making in cancer care.

Roydhouse J, Gutman R, Wilson I, Kehl K, Keating N Psychooncology. 2020; 29(11):1943-1950.

PMID: 32840909 PMC: 7722082. DOI: 10.1002/pon.5528.


References
1.
Nattinger A, McAuliffe T, Schapira M . Generalizability of the surveillance, epidemiology, and end results registry population: factors relevant to epidemiologic and health care research. J Clin Epidemiol. 1997; 50(8):939-45. DOI: 10.1016/s0895-4356(97)00099-1. View

2.
Li G, Chen W . Representativeness of population-based cancer registration in China--comparison of urban and rural areas. Asian Pac J Cancer Prev. 2009; 10(4):559-64. View

3.
Warren J, Klabunde C, Schrag D, Bach P, Riley G . Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002; 40(8 Suppl):IV-3-18. DOI: 10.1097/01.MLR.0000020942.47004.03. View

4.
Jensen A, Storm H, Moller S, Overgaard J . Validity and representativity in the Danish Breast Cancer Cooperative Group--a study on protocol allocation and data validity from one county to a multi-centre database. Acta Oncol. 2003; 42(3):179-85. DOI: 10.1080/02841860310000737. View

5.
Ayanian J, Chrischilles E, Fletcher R, Fouad M, Harrington D, Kahn K . Understanding cancer treatment and outcomes: the Cancer Care Outcomes Research and Surveillance Consortium. J Clin Oncol. 2004; 22(15):2992-6. DOI: 10.1200/JCO.2004.06.020. View