Literature DB >> 12631544

Validation of self-reported cancers in the California Teachers Study.

Arti Parikh-Patel1, Mark Allen, William E Wright.   

Abstract

Self-reported cancer data from the California Teachers Study were validated by using California Cancer Registry data. The California Teachers Study cohort consists of 133,479 active and retired California teachers. In 1995-1996, data from a mailed questionnaire were linked to the California Cancer Registry data. Sensitivity and specificity of 11 types of cancer were calculated. Multivariate analyses were conducted to evaluate correlates of false-positive and false-negative reporting. Sensitivities showed great variation by cancer site. The highest sensitivities were observed for breast (96.4%) and thyroid (92.9%) cancers, whereas the lowest sensitivities were those for cervical (44.3%), endometrial (69.1%), and other skin (53.6%) cancers. The sensitivities for in situ cancers (at the time of diagnosis) were considerably lower than those for invasive cancers in about half of the cancer types surveyed. The specificities for individual cancer sites ranged from 90% to 99%; the highest were those for lung cancer, leukemia, and Hodgkin's disease (all 99.9%). The lowest specificity was for other skin cancer (90.2%). In situ stage at diagnosis and older age were significantly associated with false-positive reporting. Age and non-White race were associated with false-negative reporting. These findings suggest that the feasibility of using self-reported data without verification in epidemiologic studies of cancer varies by site.

Entities:  

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Year:  2003        PMID: 12631544     DOI: 10.1093/aje/kwg006

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  48 in total

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Authors:  Catherine C Lerro; Kevin D Stein; Tenbroeck Smith; Katherine S Virgo
Journal:  J Cancer Surviv       Date:  2012-03-03       Impact factor: 4.442

2.  Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Hoda Anton-Culver; Veronica M Vieira
Journal:  Gynecol Oncol       Date:  2014-03-25       Impact factor: 5.482

3.  Validity of self reported diagnoses of cancer in a major Spanish prospective cohort study.

Authors:  C Navarro; M D Chirlaque; M J Tormo; D Pérez-Flores; M Rodríguez-Barranco; A Sánchez-Villegas; A Agudo; G Pera; P Amiano; M Dorronsoro; N Larrañaga; J R Quirós; E Ardanaz; A Barricarte; C Martínez; M J Sánchez; A Berenguer; C A González
Journal:  J Epidemiol Community Health       Date:  2006-07       Impact factor: 3.710

4.  Spatial analysis of advanced-stage ovarian cancer mortality in California.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Daniel L Gillen; Lu Bai; Veronica M Vieira
Journal:  Am J Obstet Gynecol       Date:  2015-01-31       Impact factor: 8.661

5.  Race, immigrant status, and cancer among women in the United States.

Authors:  James Ted McDonald; Jeremiah Neily
Journal:  J Immigr Minor Health       Date:  2011-02

6.  Getting cancer prevalence right: using state cancer registry data to estimate cancer survivors.

Authors:  William R Carpenter; Wei-Shi Yeh; Sara E Wobker; Paul A Godley
Journal:  Cancer Causes Control       Date:  2011-03-01       Impact factor: 2.506

7.  Rural-urban disparities in health status among US cancer survivors.

Authors:  Kathryn E Weaver; Ann M Geiger; Lingyi Lu; L Douglas Case
Journal:  Cancer       Date:  2012-10-23       Impact factor: 6.860

8.  Characteristics and diagnosis of pregnancy and lactation associated breast cancer: Analysis of a self-reported regional registry.

Authors:  Amanda M Pugh; Courtney M Giannini; Susan M Pinney; Dennis J Hanseman; Elizabeth A Shaughnessy; Jaime D Lewis
Journal:  Am J Surg       Date:  2018-09-20       Impact factor: 2.565

9.  Socioeconomic status as a predictor of adherence to treatment guidelines for early-stage ovarian cancer.

Authors:  Melissa Hodeib; Jenny Chang; Fong Liu; Argyrios Ziogas; Sarah Dilley; Leslie M Randall; Hoda Anton-Culver; Robert E Bristow
Journal:  Gynecol Oncol       Date:  2015-04-22       Impact factor: 5.482

10.  Impact of familial risk and mammography screening on prognostic indicators of breast disease among women from the Ontario site of the Breast Cancer Family Registry.

Authors:  Meghan J Walker; Lucia Mirea; Kristine Cooper; Mitra Nabavi; Gord Glendon; Irene L Andrulis; Julia A Knight; Frances P O'Malley; Anna M Chiarelli
Journal:  Fam Cancer       Date:  2014-06       Impact factor: 2.375

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