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The Population-level Effect of Adjuvant Therapies on Breast Cancer Recurrence: Application of the Trend-in-Trend Design.

Authors :
Collin LJ
Waller LA
Cronin-Fenton DP
Ahern TP
Goodman M
McCullough LE
Kjærsgaard A
Woolpert KM
Silliman RA
Christiansen PM
Ejlertsen B
Toft Sørensen H
Lash TL
Source :
Epidemiology (Cambridge, Mass.) [Epidemiology] 2024 Sep 01; Vol. 35 (5), pp. 660-666. Date of Electronic Publication: 2024 Aug 06.
Publication Year :
2024

Abstract

Purpose: Breast cancer has an average 10-year relative survival reaching 84%. This favorable survival is due, in part, to the introduction of biomarker-guided therapies. We estimated the population-level effect of the introduction of two adjuvant therapies-tamoxifen and trastuzumab-on recurrence using the trend-in-trend pharmacoepidemiologic study design.<br />Methods: We ascertained data on women diagnosed with nonmetastatic breast cancer who were registered in the Danish Breast Cancer Group clinical database. We used the trend-in-trend design to estimate the population-level effect of the introduction of (1) tamoxifen for postmenopausal women with estrogen receptor (ER)-positive breast cancer in 1982, (2) tamoxifen for premenopausal women diagnosed with ER-positive breast cancer in 1999, and (3) trastuzumab for women <60 years diagnosed with human epidermal growth factor receptor 2-positive breast cancer in 2007.<br />Results: For the population-level effect of the introduction of tamoxifen among premenopausal women diagnosed with ER-positive breast cancer in 1999, the risk of recurrence decreased by nearly one-half (OR = 0.52), consistent with evidence from clinical trials; however, the estimate was imprecise (95% confidence interval [CI] = 0.25, 1.85). We observed an imprecise association between tamoxifen use and recurrence from the time it was introduced in 1982 (OR = 1.24 95% CI = 0.46, 5.11), inconsistent with prior knowledge from clinical trials. For the introduction of trastuzumab in 2007, the estimate was also consistent with trial evidence, though imprecise (OR = 0.51; 95% CI = 0.21, 22.4).<br />Conclusions: We demonstrated how novel pharmacoepidemiologic analytic designs can be used to evaluate the routine clinical care and effectiveness of therapeutic advancements in a population-based setting while considering some limitations of the approach.<br />Competing Interests: The authors report no conflicts of interest.<br /> (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Details

Language :
English
ISSN :
1531-5487
Volume :
35
Issue :
5
Database :
MEDLINE
Journal :
Epidemiology (Cambridge, Mass.)
Publication Type :
Academic Journal
Accession number :
39109817
Full Text :
https://doi.org/10.1097/EDE.0000000000001753