Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Journal of General Internal Medicine
Published in: Journal of General Internal Medicine 9/2014

01-09-2014 | Editorial

Oversimplifying Overdiagnosis

Authors: Ruth Etzioni, PhD, Roman Gulati, MS

Published in: Journal of General Internal Medicine | Issue 9/2014

Login to get access

Excerpt

Estimating the frequency of overdiagnosis due to cancer screening is not a simple task, because overdiagnosis is almost never observable. Since we treat most cancers and their precursors, we rarely get to follow a tumor over its natural course and learn whether that tumor would have persisted as an indolent lesion, spontaneously regressed, or progressed to the point of producing symptoms. …
Literature
1.
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.
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.
10.
De Gruttola V, Lagakos SW. Analysis of doubly-censored survival data, with application to AIDS. Biometrics 1989;45:1–11. PMC.
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.
Metadata
Title
Oversimplifying Overdiagnosis
Authors
Ruth Etzioni, PhD
Roman Gulati, MS
Publication date
01-09-2014
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 9/2014
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-014-2867-0

Other articles of this Issue 9/2014

Journal of General Internal Medicine 9/2014 Go to the issue

Capsule Commentary

Capsule Commentary on Anderson et al., Quality of Care and Racial Disparities in Medicare among Potential ACOs

Letter to the Ediror

Patient Complexity, Prescriber Continuity and Acute Care

Editorial

Life Chaos and Intrinsic Motivation

OriginalPaper

A Heart-Breaking Case of Fever and Rash

Original Research

Faculty Development to Enhance Humanistic Teaching and Role Modeling: A Collaborative Study at Eight Institutions

Letter to the Editor

Patient Complexity, Prescriber Continuity and Acute Care
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Reserve your place

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

Read more

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine
Image Credits