PMID- 29946705
OWN - NLM
STAT- MEDLINE
DCOM- 20190815
LR  - 20190815
IS  - 1539-3704 (Electronic)
IS  - 0003-4819 (Linking)
VI  - 169
IP  - 1
DP  - 2018 Jul 3
TI  - Defining, Estimating, and Communicating Overdiagnosis in Cancer Screening.
PG  - 36-43
LID - 10.7326/M18-0694 [doi]
AB  - The toll of inadequate health care is well-substantiated, but recognition is 
      mounting that "too much" is also possible. Overdiagnosis represents one harm of 
      too much medicine, but the concept can be confusing: It is often conflated with 
      related harms (such as overtreatment, misclassification, false-positive results, 
      and overdetection) and is difficult to measure because it cannot be directly 
      observed. Because the U.S. Preventive Services Task Force (USPSTF) issues 
      screening recommendations aimed largely at healthy persons, it has a particular 
      interest in understanding harms related to screening, especially but not limited 
      to overdiagnosis. In support of the USPSTF, the authors summarize the knowledge 
      and provide guidance on defining, estimating, and communicating overdiagnosis in 
      cancer screening. To improve consistency, thinking, and reporting about 
      overdiagnosis, they suggest a specific definition. The authors articulate how 
      variation in estimates of overdiagnosis can arise, identify approaches to 
      estimating overdiagnosis, and describe best practices for communicating the 
      potential for harm due to overdiagnosis.
FAU - Davies, Louise
AU  - Davies L
AD  - The VA Outcomes Group, White River Junction Veterans Affairs Medical Center, 
      White River Junction, Vermont, and Geisel School of Medicine at Dartmouth and 
      Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New 
      Hampshire (L.D.).
FAU - Petitti, Diana B
AU  - Petitti DB
AD  - University of Arizona College of Medicine-Phoenix, Phoenix, Arizona (D.B.P.).
FAU - Martin, Lynn
AU  - Martin L
AD  - Abt Associates, Cambridge, Massachusetts (L.M., M.W.).
FAU - Woo, Meghan
AU  - Woo M
AD  - Abt Associates, Cambridge, Massachusetts (L.M., M.W.).
FAU - Lin, Jennifer S
AU  - Lin JS
AD  - Kaiser Permanente Research Affiliates Evidence-based Practice Center, Kaiser 
      Permanente Center for Health Research, Portland, Oregon (J.S.L.).
LA  - eng
PT  - Journal Article
PT  - Research Support, U.S. Gov't, P.H.S.
DEP - 20180626
PL  - United States
TA  - Ann Intern Med
JT  - Annals of internal medicine
JID - 0372351
CIN - Ann Intern Med. 2018 Nov 20;169(10):738-739. PMID: 30452569
CIN - Ann Intern Med. 2018 Nov 20;169(10):739. PMID: 30452570
CIN - Ann Intern Med. 2018 Dec 4;169(11):823-824. PMID: 30508436
CIN - Ann Intern Med. 2018 Dec 4;169(11):824. PMID: 30508437
MH  - Communication
MH  - *Early Detection of Cancer/adverse effects/statistics & numerical data
MH  - Humans
MH  - *Medical Overuse/statistics & numerical data
MH  - Research Design/standards
MH  - Statistics as Topic
MH  - Terminology as Topic
EDAT- 2018/06/28 06:00
MHDA- 2019/08/16 06:00
CRDT- 2018/06/28 06:00
PHST- 2018/06/28 06:00 [pubmed]
PHST- 2019/08/16 06:00 [medline]
PHST- 2018/06/28 06:00 [entrez]
AID - 2686094 [pii]
AID - 10.7326/M18-0694 [doi]
PST - ppublish
SO  - Ann Intern Med. 2018 Jul 3;169(1):36-43. doi: 10.7326/M18-0694. Epub 2018 Jun 26.