Literature DB >> 3411625

Analysis of breast cancer mortality and stage distribution by age for the Health Insurance Plan clinical trial.

K C Chu1, C R Smart, R E Tarone.   

Abstract

The Health Insurance Plan (HIP) of Greater New York conducted a clinical trial to determine if screening for breast cancer with mammography and clinical examination would decrease breast cancer mortality. The extent of disease at diagnosis among breast cancers detected by screening and the effect of screening on breast cancer mortality have been evaluated in the cohort of all HIP women diagnosed with breast cancer within 6 years of entry into the trial and followed at least 18 years after trial entry. Six years was the earliest time at which the number of cases diagnosed in the control group was equal to the number of cases diagnosed in the study group. In the cohorts of women 40-49 and 50-64 years of age at entry, shifts were significant to lower stages for screen-detected cases. As a result, the study group women in each age cohort had significantly lower breast cancer mortality than control group women when statistical analyses were restricted to data from cases only. In the 40-49 age-at-entry cohort, the reduced breast cancer mortality in the study group appears to result from lower mortality in stage I cases as well as from earlier case detection, and this may explain differences between the two age-at-entry cohorts in the length of follow-up time required to demonstrate a mortality reduction due to screening.

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Year:  1988        PMID: 3411625     DOI: 10.1093/jnci/80.14.1125

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  42 in total

1.  Breast cancer screening: who should be included?

Authors:  A B Miller
Journal:  J Gen Intern Med       Date:  1990 Sep-Oct       Impact factor: 5.128

2.  The impact of the U.S. Preventive Services Task Force guidelines on cancer screening: perspective from the National Cancer Institute.

Authors:  C R Smart
Journal:  J Gen Intern Med       Date:  1990 Sep-Oct       Impact factor: 5.128

3.  Declining mammography screening in a state Medicaid Fee-for-Service program: 1999-2008.

Authors:  Abhijeet Bhanegaonkar; S Suresh Madhavan; Rahul Khanna; Scot C Remick
Journal:  J Womens Health (Larchmt)       Date:  2012-05-08       Impact factor: 2.681

Review 4.  The benefits and harms of breast cancer screening: an independent review.

Authors:  M G Marmot; D G Altman; D A Cameron; J A Dewar; S G Thompson; M Wilcox
Journal:  Br J Cancer       Date:  2013-06-06       Impact factor: 7.640

5.  Demographic changes in breast cancer incidence, stage at diagnosis and age associated with population-based mammographic screening.

Authors:  Francys C Verdial; Ruth Etzioni; Catherine Duggan; Benjamin O Anderson
Journal:  J Surg Oncol       Date:  2017-02-14       Impact factor: 3.454

Review 6.  Controversies surrounding screening mammography.

Authors:  Pamela M Otto; Christa B Blecher
Journal:  Mo Med       Date:  2014 Sep-Oct

7.  Mean glandular dose in digital mammography: a dose calculation method comparison.

Authors:  Moayyad E Suleiman; Patrick C Brennan; Mark F McEntee
Journal:  J Med Imaging (Bellingham)       Date:  2017-01-24

Review 8.  Will screening mammography in the East do more harm than good?

Authors:  Gabriel M Leung; Tai-Hing Lam; Thuan Q Thach; Anthony J Hedley
Journal:  Am J Public Health       Date:  2002-11       Impact factor: 9.308

9.  Decision making and counseling around mammography screening for women aged 80 or older.

Authors:  Mara A Schonberg; Radhika A Ramanan; Ellen P McCarthy; Edward R Marcantonio
Journal:  J Gen Intern Med       Date:  2006-09       Impact factor: 5.128

10.  Breast cancer screening among relatives of women with breast cancer.

Authors:  K M Kaplan; G B Weinberg; A Small; J L Herndon
Journal:  Am J Public Health       Date:  1991-09       Impact factor: 9.308

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