Creation and assessment of a nomogram to forecast postoperative sleep issues in oral cancer patients: a prospective investigation

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A predictive model for postoperative sleep disturbances in oral cancer patients was developed and validated using data from 385 patients.
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Independent predictors of sleep disturbances included alcohol consumption, surgical duration, anxiety scores, and social support levels.
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The incidence of postoperative sleep disturbances was approximately 39% in both training and validation groups.
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The model demonstrated excellent discrimination with AUCs of 0.902 and 0.967 for training and validation sets, respectively.
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This study highlights the need for targeted interventions to manage sleep disturbances in oral cancer patients post-surgery.

Frontiers In Oncology

by Ruyue Qiu, Yunyu Zhou, Guangman Wang, Jingya Yu, Yajun Li, Liyan Mao, Grace Paka Lubamba, Xiaoqin Bi
April 21, 2026

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