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. 2023 Jun 26;11(6):e006698. doi: 10.1136/jitc-2023-006698

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© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

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Construction and validation of a nomogram based on multivariate Cox regression analysis. (A) Univariate and multivariate Cox regression analyses for the overall survival (OS) and progression-free survival (PFS) of pancreatic ductal adenocarcinoma (PDAC) patients in the surgery alone (SA) group. (B) The nomogram integrating tertiary lymphoid structure (TLS) presence, tumor–node–metastasis (TNM) stage (American Joint Committee on Cancer 8th edition), and tumor grade for the OS prediction of PDAC patients. (C) Calibration curves for predicting OS at 1-year and 3-year time points in the SA group (n=380); the x-axis indicates the predictive survival probabilities by the nomogram, while the y-axis indicates the actual survival probabilities; the 45° dotted line indicates ideal prediction. (D) Calibration curves for predicting OS at 1-year and 3-year time points in the external validation cohort (n=123).