Literature DB >> 22358016

Mammography screening: a new estimate of number needed to screen to prevent one breast cancer death.

R Edward Hendrick1, Mark A Helvie.   

Abstract

OBJECTIVE: The purpose of our study was to estimate the number of women needed to screen (NNS) to prevent one breast cancer death and the number needed to screen per life-year gained (NNS/LYG) with annual or biennial screening mammography and to compare NNS to the number needed to invite (NNI) to a screening trial to prevent one breast cancer death.
MATERIALS AND METHODS: Cancer Intervention and Surveillance Modeling Network (CISNET) modeling results commissioned by the United States Preventive Services Task Force (USPSTF) for their 2009 update of breast cancer screening recommendations were used to estimate NNS and NNS/LYG with annual or biennial screening mammography. NNS values were compared with NNI as reported by USPSTF, which used the CISNET results to aid their 2009 recommendation of starting age and screening interval.
RESULTS: For women between the ages of 40 and 49 years undergoing annual screening mammography, CISNET modeling results estimate an NNS of 746, 39% of the NNI of 1904 estimated by USPSTF on the basis of randomized controlled trial (RCT) data. The NNS based on CISNET results for women between 50 and 59 years is 351 (26% of the NNI of 1339 estimated by USPSTF from RCT data), for women between 60 and 69 years is 233 (62% of the NNI of 377 estimated by USPSTF from RCT data), and for women between 70 and 79 years is 377. Annual screening of women between 40 and 84 years yields an NNS of 84 and an NNS/LYG of 5.3. Biennial screening of women ages 50-74 yields an NNS of 144 and an NNS/LYG of 9.1.
CONCLUSION: The NNS based on CISNET modeling results is much smaller than the NNI based on RCT data. Eighty-four women need to be screened annually between 40 and 84 years to save one life from breast cancer and 5.3 need to be screened annually to gain 1 life-year from breast cancer.

Entities:  

Mesh:

Year:  2012        PMID: 22358016     DOI: 10.2214/AJR.11.7146

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  19 in total

1.  An Enhanced Shared Decision Making Model to Address Willingness and Ability to Undergo Lung Cancer Screening and Follow-Up Treatment in Minority Underserved Populations.

Authors:  Cherie P Erkmen; Mark Mitchell; Simran Randhawa; Shelby Sferra; Rachel Kim; Verdi DiSesa; Larry R Kaiser; Grace X Ma
Journal:  J Community Health       Date:  2018-02

2.  The effects of organized screening programs on the demand for mammography in Switzerland.

Authors:  Mark Pletscher
Journal:  Eur J Health Econ       Date:  2016-11-08

3.  Screening Men with Coronary Heart Disease for Abdominal Aortic Aneurysm: A Prospective Cohort Study.

Authors:  Ville Vänni; Jussi Hernesniemi; Matti Turtiainen; Johanna Turtiainen; Tapio Hakala
Journal:  World J Surg       Date:  2015-09       Impact factor: 3.352

Review 4.  Cancer-Specific Mortality, All-Cause Mortality, and Overdiagnosis in Lung Cancer Screening Trials: A Meta-Analysis.

Authors:  Mark H Ebell; Michelle Bentivegna; Cassie Hulme
Journal:  Ann Fam Med       Date:  2020-11       Impact factor: 5.166

5.  Radiation risk of breast screening in England with digital mammography.

Authors:  Lucy M Warren; David R Dance; Kenneth C Young
Journal:  Br J Radiol       Date:  2016-09-21       Impact factor: 3.039

6.  Implementation and Uptake of Rural Lung Cancer Screening.

Authors:  Tri Le; Stacie Miller; Emily Berry; Sarah Zamarripa; Aurelio Rodriguez; Benjamin Barkley; Asha Kandathil; Cecelia Brewington; Keith E Argenbright; David E Gerber
Journal:  J Am Coll Radiol       Date:  2022-02-07       Impact factor: 5.532

7.  Assessing the Generalizability of the National Lung Screening Trial: Comparison of Patients with Stage 1 Disease.

Authors:  Nichole T Tanner; Lin Dai; Brett C Bade; Mulugeta Gebregziabher; Gerard A Silvestri
Journal:  Am J Respir Crit Care Med       Date:  2017-09-01       Impact factor: 21.405

Review 8.  Breast cancer screening: the questions answered.

Authors:  Philippe Autier; Laura J Esserman; Chris I Flowers; Nehmat Houssami
Journal:  Nat Rev Clin Oncol       Date:  2012-08-14       Impact factor: 66.675

9.  Impact of surveillance for hepatocellular carcinoma on survival in patients with compensated cirrhosis.

Authors:  Ju Dong Yang; Ajitha Mannalithara; Andrew J Piscitello; John B Kisiel; Gregory J Gores; Lewis R Roberts; W Ray Kim
Journal:  Hepatology       Date:  2018-05-09       Impact factor: 17.425

Review 10.  Use of patient decision aids increased younger women's reluctance to begin screening mammography: a systematic review and meta-analysis.

Authors:  Ilya Ivlev; Erin N Hickman; Marian S McDonagh; Karen B Eden
Journal:  J Gen Intern Med       Date:  2017-03-13       Impact factor: 5.128

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.