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. 2023 Mar 30;10:958452. doi: 10.3389/fsurg.2023.958452

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© 2023 Gault, Hosokawa, Kramer, Saks, Appelbaum, Thompson, Olincy, Cascella, Sawa, Goodman, Moukaddam, Sheth, Anderson and Davis.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Logistic regression analyses. (A) Cross-chart showing the group of 13 highly correlated surgical factors identified from 34,688,986 surgical cases using oblique component analysis. Correlation column is each factor's correlation to the group. Correlations between factors and color-coded p-values are listed in the cross-chart. Funnel plots of (B) surgical frequencies, (C) 1-month postsurgical morbidity, (D) 1-year postsurgical morbidity, (E) 1-month postsurgical mortality, and (F) 1-year postsurgical mortality among diagnostic cohorts. Higher frequencies (black), Normal-range frequencies defined by the results from the three control groups (grey), and lower frequencies (white).