Prognostic index score and clinical prediction model of local regional recurrence after mastectomy in breast cancer patients

2006 ◽  
Vol 64 (5) ◽  
pp. 1401-1409 ◽  
Author(s):  
Skye Hongiun Cheng ◽  
Cheng-Fang Horng ◽  
Jennifer L. Clarke ◽  
Mei-Hua Tsou ◽  
Stella Y. Tsai ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prediction Model ◽  
Cancer Patients ◽  
Prognostic Index ◽  
Index Score ◽  
Regional Recurrence ◽  
Clinical Prediction ◽  
Breast Cancer Patients ◽  
Clinical Prediction Model ◽  
Local Regional Recurrence

Risk of synchronous distant recurrence at time of local-regional recurrence in stage II and III breast cancer patients.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. 6576-6576
Author(s):  
Heather B. Neuman ◽  
Jessica R. Schumacher ◽  
Amanda B. Francescatti ◽  
Taiwo Adesoye ◽  
Stephen B. Edge ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Distant Recurrence ◽  
Stage Ii ◽  
Regional Recurrence ◽  
Breast Cancer Patients ◽  
Local Regional Recurrence

scholarly journals Radiotherapy for and prognosis of breast cancer patients with local-regional recurrence after mastectomy

2009 ◽  
Vol 28 (10) ◽  
pp. 1077-1082
Author(s):  
Jia-Yi Chen ◽  
Xue-Jun Ma ◽  
Wei-Bing Zhou ◽  
Yan Feng ◽  
Guo-Liang Jiang
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Regional Recurrence ◽  
Breast Cancer Patients ◽  
Local Regional Recurrence

scholarly journals Risk factors for pegylated liposomal doxorubicin-induced moderate to severe hand-foot syndrome in breast cancer patients: assessment of baseline clinical parameters

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guohua Liang ◽  
Wenjie Ma ◽  
Yanfang Zhao ◽  
Eryu Liu ◽  
Xiaoyu Shan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Prediction Model ◽  
Cancer Patients ◽  
Blood Circulation ◽  
Pegylated Liposomal Doxorubicin ◽  
Dose Intensity ◽  
Breast Cancer Patients ◽  
Hand Foot Syndrome ◽  
Peripheral Blood Circulation

Abstract Background Hand-foot syndrome (HFS) is a side effect of skin related to pegylated liposomal doxorubicin (PLD) application. Moderate to severe hand-foot syndrome (MSHFS) might have a serious impact on patients’ quality of life and treatment. However, information on risk factors for the development of MSHFS is still limited. To analyze the risk factors for PLD-induced MSHFS in breast cancer patients and constructed a logistic regression prediction model. Methods We conducted a retrospective analysis of breast cancer patients who were treated with a PLD regimen in the Tumor Hospital of Harbin Medical University from January 2017 to August 2019. A total of 26 factors were collected from electronic medical records. Patients were divided into MSHFS (HFS > grade 1) and NMHFS (HFS ≤ grade 1) groups according to the NCI classification. Statistical analysis of these factors and the construction of a logistic regression prediction model based on risk factors. Results A total of 44.7% (206/461) of patients developed MSHFS. The BMI, dose intensity, and baseline Alanine aminotransferase (ALT) and Aspartate aminotransferase (AST) levels in the MSHFS group, as well as good peripheral blood circulation, excessive sweat excretion, history of gallstones, and tumour- and HER2-positive percentages, were all higher than those in the NMHFS group (P < 0.05). The model for predicting the occurrence of MSHFS was P = 1/1 + exp. (11.138–0.110*BMI-0.234*dose intensity-0.018*baseline ALT+ 0.025*baseline AST-1.225*gallstone history-0.681* peripheral blood circulation-1.073*sweat excretion-0.364*with or without tumor-0.680*HER-2). The accuracy of the model was 72.5%, AUC = 0.791, and Hosmer-Lemeshow fit test P = 0.114 > 0.05. Conclusions Nearly half of the patients developed MSHFS. The constructed prediction model may be valuable for predicting the occurrence of MSHFS in patients.

K167: is it a prognostic index in node negative breast cancer patients?

2001 ◽  
Vol 37 ◽  
pp. S121
Author(s):  
F. Valcamonico ◽  
G. Grigolato ◽  
F. Donato ◽  
V.D. Ferrari ◽  
E. Simoncini ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Prognostic Index ◽  
Breast Cancer Patients ◽  
Node Negative ◽  
Node Negative Breast Cancer
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