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Dynamic nomograms combining N classification with ratio-based nodal classifications to predict long-term survival for patients with lung adenocarcinoma after surgery: a SEER population-based study

Crossref DOI link: https://doi.org/10.1186/s12885-021-08410-6

Published Online: 2021-08-04

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Suyu

Yu, Yue

Xu, Wenting

Lv, Xin

Zhang, Yufeng

Liu, Meiyun
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Text and Data Mining valid from 2021-08-04

Version of Record valid from 2021-08-04
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Article History

Received: 4 March 2021

Accepted: 24 May 2021

First Online: 4 August 2021

Declarations

:

: The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and the Harmonized Tripartite Guideline for Good Clinical Practice from the International Conference on Harmonization. No approval by the institutional review board was sought, and no individual patient consent was required, because SEER is a public database and the data are de-identified. The authors confirm that they are accountable for all aspects of the work (if applied, including full data access, integrity of the data and the accuracy of the data analysis) in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

: Not applicable.

: All authors have completed the ICMJE uniform disclosure form. The authors have no conflicts of interest to declare.

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