ArticleJCO oncology practice2021
Patient Preferences for Outcomes Following DCIS Management Strategies: A Discrete Choice Experiment.
Article in JCO oncology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Identifying recurrences and metastasis after ductal carcinoma in situ (DCIS) of the breast.Histopathology · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeDuctal carcinoma in situ (DCIS), a nonobligate precursor of breast cancer, is often aggressively managed with multimodal therapy. However, there is limited research on patients' preferences for trade-offs among treatment-related outcomes such as breast appearance, side effects, and future cancer risk. We sought to investigate whether women consider treatment features aside from cancer risk when making treatment choices for ductal carcinoma in situ and if so, to what degree other features influence these decisions.
methodsA discrete choice experiment was administered to participants in a comprehensive cancer screening mammography clinic. The experimental design was used to generate constructed health profiles resulting from different management strategies. Health profiles were defined by breast appearance, severity of infection within the first year, chronic pain, hot flashes, and risk of developing or dying from breast cancer within 10 years.
resultsOne hundred ninety-four women without a personal history of breast cancer completed the choice task. Across 10 choice questions, 29% always selected the health profile with a lower risk of invasive breast cancer (ie, dominated on cancer risk), regardless of the effects of treatment. For nonrisk dominators, breast cancer risk remained the most important factor but was closely followed by chronic pain (24% [95% CI, 20 to 28]) and infection (22% [95% CI, 18 to 25]). Depending on treatment outcomes, the tolerable increase in breast cancer risk was as high as 3.4%.
conclusionMost women were willing to make some trade-offs between invasive cancer risk and treatment-related outcomes. Our findings highlight the importance of shared decision-making weighing risks and benefits between patient and provider management of low-risk disease.
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