Validation of a breast cancer nomogram to predict lymphedema in a Chinese population

被引:13
|
作者
Li, Xiaoping [1 ,2 ]
Huang, Hui [3 ]
Lin, Qimou [2 ]
Yu, Qihe [2 ]
Zhou, Yi [2 ]
Long, Wansheng [2 ]
Wang, Ningxia [1 ]
机构
[1] Jinan Univ, Clin Med Coll 1, Dept Breast Surg, Guangzhou 510630, Guangdong, Peoples R China
[2] Jiangmen Cent Hosp, Dept Gen Surg, Jiangmen, Peoples R China
[3] Jiangmen Matern & Child Hlth Care Populat & Famil, Dept Breast Surg, Jiangmen, Peoples R China
关键词
Lymphedema; Breast cancer; Axillary lymph node dissection; Nomogram; ARM LYMPHEDEMA; RISK-FACTORS; FOLLOW-UP; AXILLARY DISSECTION; NODE METASTASIS; CLINICAL-TRIAL; SURGERY; WOMEN; SURVIVORS; MODELS;
D O I
10.1016/j.jss.2016.11.009
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background: Upper arm lymphedema (LE) is a common complication after axillary lymph node dissection (ALND) in breast cancer patients. This retrospective cohort study aimed to validate a published nomogram to predict the risk of LE in the Chinese breast cancer patients. Methods: A total of 409 breast cancer patients who underwent breast cancer surgery and ALND (level I and II) were identified. Cox regression analysis was used to identify the risk factors for LE. The nomogram predictive of LE of breast cancer was evaluated by receiver-operating curve analysis, calibration plots, and Kaplan-Meier analysis in our study population. Results: With a median follow-up of 68 months, the 5-year cumulative incidence of LE was 22.3%. Higher body mass index (hazard ratio [HR] = 1.06, 95% CI: 1.00-1.13), neoadjuvant chemotherapy (HR = 3.76, 95% CI: 2.29-6.20), larger extend of axillary surgery (level I/II/III versus level I/II: HR = 2.39, 95% CI: 1.30-4.37), and radiotherapy (HR = 4.90, 95% CI: 1.90-12.5) were independently associated with LE. The AUC value of the nomogram was 0.706 (95% CI: 0.648-0.752). A high-risk subgroup of patients defined by nomogram had significantly higher cumulative risk of LE than those in the low-risk subgroups (P < 0.01). The calibration plots revealed that the nomogram was well calibrated (Hosmer-Lemeshow test, P = 0.0634). Conclusions: The nomogram to predict the risk of LE in breast cancer patients with ALND has been validated to be discriminative and accurate. More studies are needed to evaluate the impact of other factors (lifestyle, behaviors, and so forth) on the performance of the nomogram. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:132 / 138
页数:7
相关论文
共 50 条
  • [21] Psychometric Validation of the Chinese Version of the Lymphedema Functioning, Disability, and Health Questionnaire for Upper Limb Lymphedema in Patients With Breast Cancer-Related Lymphedema
    Zhao, Huihui
    Wu, Yanni
    Tao, Yanling
    Zhou, Chunlan
    De Vrieze, Tessa
    Li, Xiaojin
    Chen, Liling
    CANCER NURSING, 2022, 45 (01) : 70 - 82
  • [22] Nomogram to predict successful smoking cessation in a Chinese outpatient population
    Zhu, Ning
    Lin, Shanhong
    Cao, Chao
    Xu, Ning
    Yu, Xiaopin
    Chen, Xueqin
    TOBACCO INDUCED DISEASES, 2020, 18
  • [23] Development and Validation of a Nomogram to Predict Lymphedema After Axillary Surgery and Radiation Therapy in Women With Breast Cancer From the NCIC CTG MA.20 Randomized Trial
    Gross, Jeffrey P.
    Whelan, Timothy J.
    Parulekar, Wendy R.
    Chen, Bingshu E.
    Rademaker, Alfred W.
    Helenowski, Irene B.
    Donnelly, Eric D.
    Strauss, Jonathan B.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 105 (01): : 165 - 173
  • [24] Predicting sentinel lymph node metastasis in a Chinese breast cancer population: assessment of an existing nomogram and a new predictive nomogram
    Jia-ying Chen
    Jia-jian Chen
    Ben-long Yang
    Zhe-bin Liu
    Xiao-yan Huang
    Guang-yu Liu
    Qi-xia Han
    Wen-tao Yang
    Zhen-zhou Shen
    Zhi-min Shao
    Jiong Wu
    Breast Cancer Research and Treatment, 2012, 135 : 839 - 848
  • [25] Construction and validation of a nomogram to predict overall survival in patients with breast sarcoma
    Cheng, Yixin
    Zhang, Pengkun
    Huang, Yulin
    Tang, Ru
    Zhang, Lei
    Sun, Jiayuan
    Chi, Feng
    Wu, San-Gang
    He, Zhenyu
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [26] Predicting sentinel lymph node metastasis in a Chinese breast cancer population: assessment of an existing nomogram and a new predictive nomogram
    Chen, Jia-ying
    Chen, Jia-jian
    Yang, Ben-long
    Liu, Zhe-bin
    Huang, Xiao-yan
    Liu, Guang-yu
    Han, Qi-xia
    Yang, Wen-tao
    Shen, Zhen-zhou
    Shao, Zhi-min
    Wu, Jiong
    BREAST CANCER RESEARCH AND TREATMENT, 2012, 135 (03) : 839 - 848
  • [27] Predicting Sentinel Lymph Node Metastasis of a Chinese Breast Cancer Population: Assessment of an Existing Nomogram and a New Predictive Nomogram
    Chen, J-Y
    Chen, J. -J
    Yang, B-L
    Liu, Z-B
    Huang, X-Y
    Liu, G-Y
    Han, Q-X
    Yang, W-T
    Shen, Z-Z
    Shao, Z-M
    Wu, J.
    CANCER RESEARCH, 2011, 71
  • [28] Development and validation of a nomogram to predict drainage duration in patients with breast cancer treated with modified radical mastectomy
    Wu, Song
    Xin, Zechang
    Sui, Daxing
    Ou, Zhengli
    Bai, Haotian
    Zhu, Shenzhen
    Wang, Xueying
    Zhang, Jiaxin
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [29] Development and validation of a nomogram to predict drainage duration in patients with breast cancer treated with modified radical mastectomy
    Song Wu
    Zechang Xin
    Daxing Sui
    Zhengli Ou
    Haotian Bai
    Shenzhen Zhu
    Xueying Wang
    Jiaxin Zhang
    Scientific Reports, 11
  • [30] Construction and validation of prognostic nomogram for metaplastic breast cancer
    Li, Yongfeng
    Chen, Daobao
    Xuan, Haojun
    Dragomir, Mihnea P.
    Calin, George A.
    Meng, Xuli
    Chen, Meng
    Jin, Hongchuan
    BOSNIAN JOURNAL OF BASIC MEDICAL SCIENCES, 2022, 22 (01) : 131 - 139