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. 2025 Oct 2;16:1642817. doi: 10.3389/fpsyt.2025.1642817

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Copyright © 2025 Shao, Lin and Chen.

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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Figure A shows a nomogram predicting ADHD risk based on CD180 and COA3 values, with scales for total points and risk probabilities. Figure B is a calibration plot comparing nomogram-predicted to actual probabilities, showing apparent, bias-corrected, and ideal lines, with p-value 0.256. Figure C is a ROC curve with sensitivity versus 1-specificity, showing an AUC of 0.878. — Development and validation of the ADHD risk prediction nomogram. (A) Nomogram for ADHD Risk Stratification. (B) Calibration Curve for Prediction Accuracy. (C) ROC Curve for Diagnostic Performance. The ROC curve indicated an AUC of 0.878 for the nomogram, highlighting its exceptional predictive performance.