ArticleAnnals of surgical oncology2021
Surgical Predictive Model for Breast Cancer Patients Assessing Acute Postoperative Complications: The Breast Cancer Surgery Risk Calculator.
Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Prediction models of adverse outcomes following surgery and radiotherapy for breast cancer: a systematic review.ESMO real world data and digital oncology · 2026Review
- Computational Modeling of Patient-Specific Healing and Deformation Outcomes Following Breast-Conserving Surgery Based on MRI Data.Annals of biomedical engineering · 2026Article
- Impact of axillary management approaches on postoperative complication rates in breast cancer and exploration of targeted prevention strategies.American journal of cancer research · 2026Article
- Emerging Targeted and Multimodal Therapeutic Strategies in Breast Cancer: A Comprehensive Review.Breast cancer (Dove Medical Press) · 2026Review
- Regionalization of breast cancer surgical care: Moving beyond a one-size-fits-all strategy.Cancer · 2025Article
- A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care.Journal of cancer survivorship : research and practice · 2025Article
- Article
- Predicting Outcomes of Breast-Conserving Surgery in Patients with Breast Cancer Using the Modified 5-Item Frailty Index: A Retrospective Cohort Study.Annals of surgical oncology · 2025Article
- Article
- Incidence and risk factors of pain following breast cancer surgery: a retrospective national inpatient sample database study.BMC women's health · 2024Article
- A Cost-Utility Analysis of the Use of -125 mm Hg Closed-incision Negative Pressure Therapy in Oncoplastic Breast Surgery.Plastic and reconstructive surgery. Global open · 2024Article
- Standardizing R-E-NSM Surgical Protocols: A Critical Appraisal for Breast Cancer Patients.Current medical science · 2024Article
- Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors.Cancer management and research · 2024Article
- Preoperative Systemic Immune-Inflammatory Index as a Predictive Biomarker for Lower Extremity Deep Vein Thrombosis after Breast Cancer Surgery: Stratified Nursing Intervention to Reduce Incidence.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- External Validation of the Breast Cancer Surgery Risk Calculator (BCSRc): A Predictive Model for Postoperative Complications.Annals of surgical oncology · 2023Article
- ASO Author Reflections: Enhancing Preoperative Decision-Making by Using the BCSRc to Predict Breast Cancer Surgery Complications.Annals of surgical oncology · 2023Article
- Individualized Risk Prediction Tool for Serious Wound Complications After Mastectomy With and Without Immediate Reconstruction.Annals of surgical oncology · 2022Article
- A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.Frontiers in oncology · 2022Article
- Ultrasound-based radiomics XGBoost model to assess the risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual application of SHAP.Frontiers in oncology · 2022Article
- Mortality in Older Patients with Breast Cancer Undergoing Breast Surgery: How Low is "Low Risk"?Annals of surgical oncology · 2021Article
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9 authors.
Funding
Abstract
backgroundPrognostic tools, such as risk calculators, improve the patient-physician informed decision-making process. These tools are limited for breast cancer patients when assessing surgical complication risk preoperatively.
objectiveIn this study, we aimed to assess predictors associated with acute postoperative complications for breast cancer patients and then develop a predictive model that calculates a complication probability using patient risk factors.
methodsWe performed a retrospective cohort study using the National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2017. Women diagnosed with ductal carcinoma in situ or invasive breast cancer who underwent either breast conservation or mastectomy procedures were included in this predictive modeling scheme. Four models were built using logistic regression methods to predict the following composite outcomes: overall, infectious, hematologic, and internal organ complications. Model performance, accuracy and calibration measures during internal/external validation included area under the curve, Brier score, and Hosmer-Lemeshow statistic, respectively.
resultsA total of 163,613 women met the inclusion criteria. The area under the curve for each model was as follows: overall, 0.70; infectious, 0.67; hematologic, 0.84; and internal organ, 0.74. Brier scores were all between 0.04 and 0.003. Model calibration using the Hosmer-Lemeshow statistic found all p-values to be > 0.05. Using model coefficients, individualized risk can be calculated on the web-based Breast Cancer Surgery Risk Calculator (BCSRc) platform ( www.breastcalc.org ).
conclusionWe developed an internally and externally validated risk calculator that estimates a breast cancer patient's unique risk of acute complications following each surgical intervention. Preoperative use of the BCSRc can potentially help stratify patients with an increased complication risk and improve expectations during the decision-making process.
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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.