Nomograms for predicting long-term survival in patients with non-metastatic nasopharyngeal carcinoma in an endemic area.
Nomograms for predicting long-term survival in patients with non-metastatic nasopharyngeal carcinoma in an endemic area.
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预测流行区非转移性鼻咽癌患者长期生存的列线图
DOI:
10.18632/oncotarget.8823
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发表时间:
2016-05-17
期刊:
影响因子:
--
通讯作者:
Huang PY
中科院分区:
文献类型:
--
作者:
Zeng Q;Hong MH;Shen LJ;Meng XQ;Guo X;Qian CN;Wu PH;Huang PY
Purpose Nomogram for predicting more than a 5-year survival for non-metastatic nasopharyngeal carcinoma (NPC) was lacking. This study aimed to develop the new nomograms to predict long-term survival in these patients. Results The median follow-up time for training set and test set was 95.2 months and 133.3 months, respectively. The significant predictors for death were age, gender, body mass index (BMI), T stage, N stage, lactate dehydrogenase (LDH), and radiotherapy techniques. For predicting recurrence, age, gender, T stage, LDH, and radiotherapy techniques were significant predictors, whereas age, gender, BMI, T stage, N stage and LDH were significant predictors for distant metastasis. The calibration curves showed the good agreements between nomogram-predicted and actual survival. The c-indices for predicting death, recurrence, and distant metastases between nomograms and the TNM staging system were 0.767 VS.0.686 (P<0.001), 0.655 VS.0.585 (P<0.001), and 0.881 VS.0.754 (P<0.001), respectively. These results were further confirmed in the test set. Methods On the basis of a retrospective study of 1593 patients (training set) who received radiotherapy alone or concurrent chemoradiotherapy from 2000 to 2004, significant predictors were identified and incorporated to build the nomograms. The calibration curves of nomogram-predicted survival versus the actual survival were plotted and reviewed. Bootstrap validation was performed to calculate the concordance index (c-index). These models were further validated in an independent prospective trial (test set, n=400). Conclusion The established nomograms suggest more-accurate long-term prediction for patients with non-metastatic NPC.
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影响因子:
--
作者:
Wei KR;Zheng RS;Zhang SW;Liang ZH;Ou ZX;Chen WQ
通讯作者:
Chen WQ
影响因子:
2.2
作者:
Song C;Yang S
通讯作者:
Yang S
影响因子:
8.4
作者:
Huang, Pei-Yu;Wang, Cheng-Tao;Hong, Ming-Huang
通讯作者:
Hong, Ming-Huang
影响因子:
8.4
作者:
Wan, Xiang-bo;Wei, Li;Hong, Ming-huang
通讯作者:
Hong, Ming-huang
影响因子:
51.1
作者:
Chen, Lei;Hu, Chao-Su;Ma, Jun
通讯作者:
Ma, Jun