Oversimplifying overdiagnosis

Journal of General Internal Medicine

Volumn 29, Issue 9, 2014, Pages 1218-1220

  Etzioni, Ruth ^a   Gulati, Roman ^a  

^a USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BREAST CANCER; CANCER INCIDENCE; DIAGNOSTIC ERROR; DISEASE COURSE; FOLLOW UP; HISTORY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MAMMOGRAPHY; MORBIDITY; OVERDIAGNOSIS; PHYSICIAN; SCREENING; UTERINE CERVIX CANCER; VALIDITY; WART VIRUS; EARLY DIAGNOSIS; PROCEDURES; STANDARDS; THEORETICAL MODEL;

EARLY DETECTION OF CANCER; HUMANS; MODELS, THEORETICAL;

EID: 84906940728     PISSN: 08848734     EISSN: 15251497     Source Type: Journal    
DOI: 10.1007/s11606-014-2867-0     Document Type: Article

References (15)

1. Zahl PH, Jorgensen KJ, Gotzsche CO. Lead-time models should not be used to estimate overdiagnosis in cancer screening. J Gen Intern Med doi: 10.1007/s11606-014-2812.2.
2. Etzioni R, Gulati R, Mallinger L, Mandelblatt J. Influence of study features and methods on overdiagnosis estimates in breast and prostate cancer screening. Ann Intern Med 2013;158:831-8. PMC: 3733533.
3. Biesheuvel C, Barratt A, Howard K, Houssami N, Irwig L. Effects of study methods and biases on estimates of invasive breast cancer over detection with mammography screening: a systematic review. Lancet Oncol 2007;8:1129-38. PMC. (Pubitemid 350182969)
4. Duffy SW, Parmar D. Overdiagnosis in breast cancer screening: the importance of length of observation period and lead time. Breast Cancer Res 2013;15:R41. PMC: 3706885.
5. Miller AB, Wall C, Baines CJ, Sun P, To T, Narod SA. Twenty-five year follow-up for breast cancer incidence and mortality of the Canadian National Breast Screening Study: randomized screening trial. BMJ 2014;348:g366. PMC: 3921437.
6. Bleyer A, Welch HG. Effect of three decades of screening mammography on breast-cancer incidence. N Engl J Med 2012;367:1998-2005. PMC.
7. Duffy SW, Lynge E, Jonsson H, Ayyaz S, Olsen AH. Complexities in the estimation of overdiagnosis in breast cancer screening. Br J Cancer 2008;99:1176-8. PMC.
8. Zelen M, Feinleib M. On the theory of screening for chronic diseases. Biometrika 1969;56:601-14. PMC.
9. Pinsky PF. Estimation and prediction for cancer screening models using deconvolution and smoothing. Biometrics 2001;57:389-95. PMC. (Pubitemid 32488594)
10. De Gruttola V, Lagakos SW. Analysis of doubly-censored survival data, with application to AIDS. Biometrics 1989;45:1-11. PMC. (Pubitemid 19109154)
11. Vink MA, Bogaards JA, van Kemenade FJ, de Melker HE, Meijer CJ, Berkhof J. Clinical progression of high-grade cervical intraepithelial neoplasia: estimating the time to preclinical cervical cancer from doubly censored national registry data. Am J Epidemiol 2013;178:1161-9. PMC.
12. Fryback DG, Stout NK, Rosenberg MA, Trentham-Dietz A, Kuruchittham V, Remington PL. The Wisconsin Breast Cancer Epidemiology Simulation Model. J Natl Cancer Inst Monogr 2006:37-47. PMC.
13. Seigneurin A, Francois O, Labarere J, Oudeville P, Monlong J, Colonna M. Overdiagnosis from non-progressive cancer detected by screening mammography: stochastic simulation study with calibration to population based registry data. BMJ 2011;343:d7017. PMC: 3222945.
14. Zahl PH, Gotzsche PC, Maehlen J. Natural history of breast cancers detected in the Swedish mammography screening programme: a cohort study. Lancet Oncol 2011;12:1118-24. PMC.
15. Zahl PH, Maehlen J, Welch HG. The natural history of invasive breast cancers detected by screening mammography. Arch Intern Med 2008;168:2311-6. PMC.