ArticleInternational journal of environmental research and public health2021
A Decision Tree Model for Breast Reconstruction of Women with Breast Cancer: A Mixed Method Approach.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Decision Tree Model for Predicting the Overall Survival of Endometrial Cancer Patients with Adenomyosis.International journal of women's health · 2026Article
- A Systematic Review of the Reporting Quality of Qualitative Research in Breast Plastic Surgery.Plastic surgery (Oakville, Ont.) · 2025Review
- An improved random forest algorithm for tracing the origin of metastatic renal cancer tissues.Archives of medical science : AMS · 2025Article
- Remodeling of tumour microenvironment: strategies to overcome therapeutic resistance and innovate immunoengineering in triple-negative breast cancer.Frontiers in immunology · 2024Review
- Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis.International journal of environmental research and public health · 2022Article
- The (decision) tree of fertility: an innovative decision-making algorithm in assisted reproduction technique.Journal of assisted reproduction and genetics · 2022Article
- Advancing vaccine-based immunotherapy in glioblastoma treatment.Neuro-oncology advancesReview
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The number of breast reconstructions following mastectomy has increased significantly during the last decades, but women are experiencing a number of conflicts with breast reconstruction decisions. The aim of this study was to develop a decision tree model of breast reconstruction and to examine its predictability. Mixed method design using ethnographic decision tree modeling was used. In the qualitative stage, data were collected using individual and focus group interviews and analyzed to construct a decision tree model. In the quantitative stage, the questionnaire was developed questions based on the criteria identified in the qualitative stage. A total of 61 women with breast cancer participated in 2017. Five major criteria: recovery of body image; impact on recurrence; recommendations from others; financial resources; and confirmation by physicians. The model also included nine predictive pathways. It turns out that the model predicted 90% of decisions concerning whether or not to have breast reconstruction. The findings indicate that the five criteria play a key role in decision-making about whether or not to have breast reconstruction. Thus, more comprehensive issues, including these five criteria, need to be integrated into an intervention for women with breast cancer to make their best decision on breast reconstruction.
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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.