Literature DB >> 9264268

Identifying and recruiting healthy control subjects from a managed care organization: a methodology for molecular epidemiological case-control studies of cancer.

K S Hudmon1, S E Honn, H Jiang, R M Chamberlain, W Xiang, G Ferry, W Gosbee, W K Hong, M R Spitz.   

Abstract

Case-control studies with stringent matching criteria require large pools of healthy subjects from which to select matched controls. This paper describes a successful method of identifying a large pool of potential control subjects to participate in two molecular epidemiological case-control studies of lung cancer, each enrolling 400 case subjects and 400 control subjects. These studies are not population based, and the study base is not well-defined. Therefore, potential control subjects are being identified and recruited through 20 area clinic sites of a large multispecialty health maintenance organization. Because the research focus is driven by genetic hypotheses and we are controlling for multiple smoking-related variables, representativeness is of lesser concern. To identify potential control subjects, a one-page questionnaire is distributed to patients in the waiting room to assess contact information as well as data relevant to the case-control matching process. An average of 2,228 questionnaires are returned monthly toward a target pool of 40,000; of these, 59% of the respondents fulfill eligibility criteria as a control subject for one of the studies and are not averse to being contacted in the future for the purpose of research. When compared to former smokers and never smokers, current smokers in the control population were least likely to refuse further contact. A collaborative arrangement with a managed care organization offers a feasible mechanism through which researchers can access a large, ethnically diverse population of potential control subjects.

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Year:  1997        PMID: 9264268

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  25 in total

1.  Genetic variants within ultraconserved elements and susceptibility to right- and left-sided colorectal adenocarcinoma.

Authors:  Moubin Lin; Cathy Eng; Ernest T Hawk; Maosheng Huang; Anthony J Greisinger; Jian Gu; Lee M Ellis; Xifeng Wu; Jie Lin
Journal:  Carcinogenesis       Date:  2012-02-08       Impact factor: 4.944

2.  The D2 dopamine receptor gene and nicotine dependence among bladder cancer patients and controls.

Authors:  Jessica Clague; Paul Cinciripini; Janice Blalock; Xifeng Wu; Karen S Hudmon
Journal:  Behav Genet       Date:  2009-10-15       Impact factor: 2.805

3.  Pooling dietary data using questionnaires with open-ended and predefined responses: implications for comparing mean intake or estimating odds ratios.

Authors:  Michael D Swartz; Michele R Forman; Somdat Mahabir; Carol J Etzel
Journal:  Am J Epidemiol       Date:  2010-02-05       Impact factor: 4.897

4.  Intake of red meat and heterocyclic amines, metabolic pathway genes and bladder cancer risk.

Authors:  Jie Lin; Michele R Forman; Jianming Wang; H Barton Grossman; Meng Chen; Colin P Dinney; Ernest T Hawk; Xifeng Wu
Journal:  Int J Cancer       Date:  2012-03-06       Impact factor: 7.396

5.  Role of selected genetic variants in lung cancer risk in African Americans.

Authors:  Margaret R Spitz; Christopher I Amos; Susan Land; Xifeng Wu; Qiong Dong; Angela S Wenzlaff; Ann G Schwartz
Journal:  J Thorac Oncol       Date:  2013-04       Impact factor: 15.609

6.  Dietary boron and hormone replacement therapy as risk factors for lung cancer in women.

Authors:  S Mahabir; M R Spitz; S L Barrera; Y Q Dong; C Eastham; M R Forman
Journal:  Am J Epidemiol       Date:  2008-03-14       Impact factor: 4.897

7.  Genetic polymorphisms in double-strand break DNA repair genes associated with risk of oral premalignant lesions.

Authors:  Hushan Yang; Scott M Lippman; Maosheng Huang; J Jack Lee; Wei Wang; Margaret R Spitz; Xifeng Wu
Journal:  Eur J Cancer       Date:  2008-06-23       Impact factor: 9.162

8.  Dietary magnesium and DNA repair capacity as risk factors for lung cancer.

Authors:  Somdat Mahabir; Qingyi Wei; Stephanie L Barrera; Yong Quan Dong; Carol J Etzel; Margaret R Spitz; Michele R Forman
Journal:  Carcinogenesis       Date:  2008-04-30       Impact factor: 4.944

9.  Genetic susceptibility to esophageal cancer: the role of the nucleotide excision repair pathway.

Authors:  Jennifer Pan; Jie Lin; Julie G Izzo; Yang Liu; Jinliang Xing; Maosheng Huang; Jaffer A Ajani; Xifeng Wu
Journal:  Carcinogenesis       Date:  2009-03-06       Impact factor: 4.944

10.  Development and validation of a lung cancer risk prediction model for African-Americans.

Authors:  Carol J Etzel; Sumesh Kachroo; Mei Liu; Anthony D'Amelio; Qiong Dong; Michele L Cote; Angela S Wenzlaff; Waun Ki Hong; Anthony J Greisinger; Ann G Schwartz; Margaret R Spitz
Journal:  Cancer Prev Res (Phila)       Date:  2008-09
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