Using diagnosis codes in claims data to identify cohorts of breast cancer patients following initial treatment
Breast J
.
2020 Jul;26(7):1472-1474.
doi: 10.1111/tbj.13758.
Epub 2020 Jan 20.
Authors
Benjamin L Franc
1
,
Robert Thombley
1
,
Yanting Luo
2
,
W John Boscardin
3
,
Hope S Rugo
4
,
David Seidenwurm
5
,
R Adams Dudley
6
Affiliations
1
Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Stanford University School of Medicine, Stanford, CA, USA.
2
Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA.
3
Department of Medicine, Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
4
Department of Medicine, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
5
Sutter Medical Foundation, Sacramento, CA, USA.
6
Philip R. Lee Institute for Health Policy Studies, Center for Healthcare Value, University of California, San Francisco, CA, USA.
PMID:
31960541
PMCID:
PMC7369243
DOI:
10.1111/tbj.13758
No abstract available
Publication types
Research Support, U.S. Gov't, P.H.S.
MeSH terms
Algorithms
Breast Neoplasms* / epidemiology
Breast Neoplasms* / therapy
Female
Humans
United States
Grants and funding
P30 AG044281/AG/NIA NIH HHS/United States
R01 HS024936/HS/AHRQ HHS/United States