Projects per year
Abstract
Background:Although evaluations of breast cancer screening programs frequently estimate quality-adjusted life-year (QALY) losses by stage, other breast cancer characteristics influence treatment and vary by mode of detection–i.e. whether the cancer is detected through screening (screen-detected), between screening rounds (interval-detected) or outside screening (community-detected). Here, we estimate the association between early-stage invasive breast cancer (ESIBC) characteristics and treatment-related QALY losses. Methods:Using clinicopathological and treatment information from 675 women managed for ESIBC, we estimated the average five-year treatment-related QALY loss by detection group. We then used regression analysis to estimate the extent to which known cancer characteristics and the detection mode, are associated with treatment and treatment-related QALY losses. Results:Community-detected cancers had the largest QALY loss (0.76 QALYs [95% CI 0.73;0.80]), followed by interval-detected cancers (0.75 QALYs [95% CI 0.68;0.82]) and screen-detected cancers (0.69 QALYs [95%CI 0.67;0.71]). Adverse prognostic factors more common in community-detected and interval-detected breast cancers (large tumours, lymph node involvement, high grade) were largely associated with QALY losses from mastectomies and chemotherapy. Receptor-positive subtypes, more common in screen-detected cancers, were associated with QALY losses related to endocrine therapy. Conclusions:The associations between ESIBC characteristics and treatment-related QALY losses should be considered when evaluating breast cancer screening and treatment strategies.
| Original language | English |
|---|---|
| Pages (from-to) | 847-857 |
| Number of pages | 11 |
| Journal | Expert Review of Pharmacoeconomics and Outcomes Research |
| Volume | 21 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2021 |
Keywords
- Breast cancer
- cost-effectiveness analysis
- quality of life
- utility weights
Projects
- 1 Finished
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ABACUS: Maximising benefits and minimising harms in the BreastScreen program: a population health economics approach
Nickson, C. A. (Primary Chief Investigator (PCI)) & Petrie, D. (Chief Investigator (CI))
1/01/14 → 31/12/18
Project: Research