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. 2020 Oct 28;20:1036. doi: 10.1186/s12885-020-07480-2

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — a Total points distribution of false positive events (blue polyline). The X-axis represents the total points used to predict the risk of grade B/C PHLF, the Y-axis represents the frequency of false positive events. The red dotted line represents the fitted line and presents a normal distribution. a Training cohort, the false positive events were concentrated around the maximum value 175 point, and close to the preset cutoff (169 points). b Internal validation cohort, the false positive events were concentrated around the maximum value 170 points. c External validation cohort, the false positive events were concentrated around the maximum value 176 points. b Comparison of predicative performance for predicting grade B/C PHLF between the nomogram and conventional scores: a Training cohort, b Internal validation cohort, c External validation cohort