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Literature DB >> 24830739

Oversimplifying overdiagnosis.

Ruth Etzioni¹, Roman Gulati.

Abstract

Mesh：

Year: 2014 PMID： 24830739 PMCID： PMC4139510 DOI： 10.1007/s11606-014-2867-0

Source DB: PubMed Journal: J Gen Intern Med ISSN： 0884-8734 Impact factor: 5.128

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14 in total

1. Estimation and prediction for cancer screening models using deconvolution and smoothing.

Authors: P F Pinsky
Journal: Biometrics Date: 2001-06 Impact factor: 2.571

Review 2. Influence of study features and methods on overdiagnosis estimates in breast and prostate cancer screening.

Authors: Ruth Etzioni; Roman Gulati; Leslie Mallinger; Jeanne Mandelblatt
Journal: Ann Intern Med Date: 2013-06-04 Impact factor: 25.391

3. Analysis of doubly-censored survival data, with application to AIDS.

Authors: V De Gruttola; S W Lagakos
Journal: Biometrics Date: 1989-03 Impact factor: 2.571

4. The Wisconsin Breast Cancer Epidemiology Simulation Model.

Authors: Dennis G Fryback; Natasha K Stout; Marjorie A Rosenberg; Amy Trentham-Dietz; Vipat Kuruchittham; Patrick L Remington
Journal: J Natl Cancer Inst Monogr Date: 2006

5. Natural history of breast cancers detected in the Swedish mammography screening programme: a cohort study.

Authors: Per-Henrik Zahl; Peter C Gøtzsche; Jan Mæhlen
Journal: Lancet Oncol Date: 2011-10-11 Impact factor: 41.316

6. Effect of three decades of screening mammography on breast-cancer incidence.

Authors: Archie Bleyer; H Gilbert Welch
Journal: N Engl J Med Date: 2012-11-22 Impact factor: 91.245

7. The natural history of invasive breast cancers detected by screening mammography.

Authors: Per-Henrik Zahl; Jan Maehlen; H Gilbert Welch
Journal: Arch Intern Med Date: 2008-11-24

Review 8. Effects of study methods and biases on estimates of invasive breast cancer overdetection with mammography screening: a systematic review.

Authors: Corné Biesheuvel; Alexandra Barratt; Kirsten Howard; Nehmat Houssami; Les Irwig
Journal: Lancet Oncol Date: 2007-12 Impact factor: 41.316

9. Overdiagnosis from non-progressive cancer detected by screening mammography: stochastic simulation study with calibration to population based registry data.

Authors: Arnaud Seigneurin; Olivier François; José Labarère; Pierre Oudeville; Jean Monlong; Marc Colonna
Journal: BMJ Date: 2011-11-23

Oversimplifying overdiagnosis.

1. Estimation and prediction for cancer screening models using deconvolution and smoothing.

Review 2. Influence of study features and methods on overdiagnosis estimates in breast and prostate cancer screening.

3. Analysis of doubly-censored survival data, with application to AIDS.

4. The Wisconsin Breast Cancer Epidemiology Simulation Model.

5. Natural history of breast cancers detected in the Swedish mammography screening programme: a cohort study.

6. Effect of three decades of screening mammography on breast-cancer incidence.

7. The natural history of invasive breast cancers detected by screening mammography.

Review 8. Effects of study methods and biases on estimates of invasive breast cancer overdetection with mammography screening: a systematic review.

9. Overdiagnosis from non-progressive cancer detected by screening mammography: stochastic simulation study with calibration to population based registry data.

10. Complexities in the estimation of overdiagnosis in breast cancer screening.

1. Conditions for Valid Empirical Estimates of Cancer Overdiagnosis in Randomized Trials and Population Studies.

Review 2. Missteps in Current Estimates of Cancer Overdiagnosis.

Review 3. Recognizing the Limitations of Cancer Overdiagnosis Studies: A First Step Towards Overcoming Them.

4. Overdiagnosis: epidemiologic concepts and estimation.