ArticlePatient preference and adherence2024
Patient Preferences Influencing Treatment Decision-Making in Early-Stage Breast Cancer in Germany, Italy, and Japan.
Article in Patient preference and adherence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
- Shared decision-making for early-stage breast cancer treatment: An evolutionary concept analysis.Asia-Pacific journal of oncology nursing · 2025Review
- Measuring patient satisfaction with education using extended reality in orthognathic surgery: Development, validation, and reliability of the 3D orthognathic surgery questionnaire (3DOS-Q).PEC innovation · 2025Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Patients with early breast cancer (eBC) are increasingly provided with different options, which may involve a sequence of different treatments and treatment modalities, and eligibility for certain adjuvant treatments depending upon pre-surgical and surgical outcomes. This study examined patient preferences around aspects of treatment decision-making in eBC. Patients and Methods: A total of 452 patients with self-reported eBC in Germany (n=151), Italy (n=151), and Japan (n=150) completed an online survey about physician interactions and treatment side effects. The survey included best-worst scaling (BWS) to assess prioritization of 13 statements reflecting aspects of treatment decision-making. In a series of choice tasks, participants chose their most and least preferred options among subsets of 4 statements. Hierarchical Bayesian modeling was used to estimate BWS preference scores for each statement. BWS scores were based on the number of times a statement was chosen as most versus least preferred; scores total 100 for each patient. Results: The most preferred aspects of treatment decision-making were "treatment aggressiveness matches personal risk" (mean BWS score = 13.49), "being told about what is coming" (13.18), deciding based on "own surgical outcome" (11.90), "avoiding unnecessary treatment" (10.35), and "involving in treatment decisions" (9.44). The least preferred aspects were "not being asked about treatment decisions along the way" (3.27) and "receiving the same treatment as other patients" (3.41). Patients in Japan preferred "being told about what is coming", "deciding based on own surgical outcome", "avoiding unnecessary treatment", and being "involved in decisions" more than patients in Italy and Germany. Patients in Germany were more satisfied with their physician interactions and care, although their outcomes were not always better than those in Italy and Japan. Conclusion: Patients value individualized treatment tailored to their risk of recurrence and tolerance of side effects, highlighting the need for focused patient education about options, to encourage their engagement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.