BMC Cancer (Jul 2023)

Development and validation of prognostic nomogram for T1-3N0M0 non-small cell lung cancer after curative resection

  • Weijian Mei,
  • Wang Yao,
  • Zhengbo Song,
  • Wenjie Jiao,
  • Lianxin Zhu,
  • Qinghua Huang,
  • Chaolun An,
  • Jianguang Shi,
  • Guiping Yu,
  • Pingli Sun,
  • Yinbin Zhang,
  • Jianfei Shen,
  • Chunwei Xu,
  • Han Yang,
  • Qian Wang,
  • Zhihua Zhu

DOI
https://doi.org/10.1186/s12885-023-11158-w
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 9

Abstract

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Abstract Background Radical resection plus lymph node dissection is a common treatment for patients with T1-3N0M0 non-small cell lung cancer (NSCLC). Few models predicted the survival outcomes of these patients. This study aimed to developed a nomogram for predicting their overall survival (OS). Materials and methods This study involved 3002 patients with T1-3N0M0 NSCLC after curative resection between January 1999 and October 2013. 1525 Patients from Sun Yat-sen University Cancer Center were randomly allocated to training cohort and internal validation cohort in a ratio of 7:3. 1477 patients from ten institutions were recruited as external validation cohort. A nomogram was constructed based on the training cohort and validated by internal and external validation cohort to predict the OS of these patients. The accuracy and practicability were tested by Harrell's C-indexes, calibration plots and decision curve analyses (DCA). Results Age, sex, histological classification, pathological T stage, and HI standard were independent factors for OS and were included in our nomogram. The C-index of the nomogram for OS estimates were 0.671 (95% CI, 0.637–0.705),0.632 (95% CI, 0.581–0.683), and 0.645 (95% CI, 0.617–0.673) in the training cohorts, internal validation cohorts, and external validation cohort, respectively. The calibration plots and DCA for predictions of OS were in excellent agreement. An online version of the nomogram was built for convenient clinical practice. Conclusions Our nomogram can predict the OS of patients with T1-3N0M0 NSCLC after curative resection. The online version of our nomogram offer opportunities for fast personalized risk stratification and prognosis prediction in clinical practice.

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