ArticleAnnals of surgical oncology2021
Can We Reliably Identify the Pathological Outcomes of Neoadjuvant Chemotherapy in Patients with Breast Cancer? Development and Validation of a Logistic Regression Nomogram Based on Preoperative Factors.
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 18 papers.
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18 citing papers in PubMed.
- Construction and Evaluation of a Predictive Nomogram for Identifying Premature Failure of Arteriovenous Fistulas in Elderly Diabetic Patients.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Development and validation of a nomogram model for predicting low muscle mass in patients undergoing hemodialysis.Renal failure · 2023Article
- Predictive significance of HIF-1α, Snail, and PD-L1 expression in breast cancer.Clinical and experimental medicine · 2023Article
- Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer.Journal of breast cancer · 2023Article
- A Nomogram Model for Predicting the Polyphenol Content of Pu-Erh Tea.Foods (Basel, Switzerland) · 2023Article
- Predicting Pathological Complete Response in Breast Cancer After Two Cycles of Neoadjuvant Chemotherapy by Tumor Reduction Rate: A Retrospective Case-Control Study.Journal of breast cancer · 2023Article
- The Role of Nomogram Based on the Combination of Ultrasound Parameters and Clinical Indicators in the Degree of Pathological Remission of Breast Cancer.Journal of oncology · 2023Article
- Review
- Article
- Metabolomics by NMR Combined with Machine Learning to Predict Neoadjuvant Chemotherapy Response for Breast Cancer.Cancers · 2022Article
- Article
- Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients.World journal of clinical cases · 2022Article
- Prediction of adolescent suicidal ideation after the COVID-19 pandemic: A nationwide survey of a representative sample of Korea.Frontiers in pediatrics · 2022Article
- Incidence and Predictors of Synchronous Bone Metastasis in Newly Diagnosed Differentiated Thyroid Cancer: A Real-World Population-Based Study.Frontiers in surgery · 2022Article
- Prognostic significance of serum inflammation indexes in different Lauren classification of gastric cancer.Cancer medicine · 2021Article
- A Practical Predictive Model Based on Ultrasound Imaging and Clinical Indices for Estimation of Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer.Cancer management and research · 2021Article
- Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT).BMC cancer · 2020Article
- Risk factors for pituitary apoplexy: a meta-analysis and development of a clinical prediction nomogram.Frontiers in neurologyArticle
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6 authors.
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Abstract
backgroundPathological responses of neoadjuvant chemotherapy (NCT) are associated with survival outcomes in patients with breast cancer. Previous studies constructed models using out-of-date variables to predict pathological outcomes, and lacked external validation, making them unsuitable to guide current clinical practice.
objectiveThe aim of this study was to develop and validate a nomogram to predict the objective remission rate (ORR) of NCT based on pretreatment clinicopathological variables.
methodsData from 110 patients with breast cancer who received NCT were used to establish and calibrate a nomogram for pathological outcomes based on multivariate logistic regression. The predictive performance of this model was further validated using a second cohort of 55 patients with breast cancer. Discrimination of the prediction model was assessed using an area under the receiver operating characteristic curve (AUC), and calibration was assessed using calibration plots. The diagnostic odds ratio (DOR) was calculated to further evaluate the performance of the nomogram and determine the optimal cut-off value.
resultsThe final multivariate regression model included age, NCT cycles, estrogen receptor, human epidermal growth factor receptor 2 (HER2), and lymphovascular invasion. A nomogram was developed as a graphical representation of the model and showed good calibration and discrimination in both sets (an AUC of 0.864 and 0.750 for the training and validation cohorts, respectively). Finally, according to the Youden index and DORs, we assigned an optimal ORR cut-off value of 0.646.
conclusionWe developed a nomogram to predict the ORR of NCT in patients with breast cancer. Using the nomogram, for patients who are operable and whose ORR is < 0.646, we believe that the benefits of NCT are limited and these patients can be treated directly using surgery.
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