PMID- 35719922 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220716 IS - 2234-943X (Print) IS - 2234-943X (Electronic) IS - 2234-943X (Linking) VI - 12 DP - 2022 TI - A New Online Dynamic Nomogram: Construction and Validation of an Assistant Decision-Making Model for Laryngeal Squamous Cell Carcinoma. PG - 829761 LID - 10.3389/fonc.2022.829761 [doi] LID - 829761 AB - BACKGROUND: Laryngeal squamous cell carcinoma (LSCC) is the most common type of head and neck squamous cell carcinoma. However, there are currently no reliable biomarkers for the diagnosis and prognosis of LSCC. Thus, this study aimed to identify the independent risk factors and develop and validate a new dynamic web-based nomogram that can predict auxiliary laryngeal carcinogenesis. METHODS: Data on the medical history of 221 patients who were recently diagnosed with LSCC and 359 who were recently diagnosed with benign laryngeal lesions (BLLs) at the First Affiliated Hospital of Anhui Medical University were retrospectively reviewed. Using the bootstrap method, 580 patients were divided in a 7:3 ratio into a training cohort (LSCC, 158 patients; BLL, 250 patients) and an internal validation cohort (LSCC, 63 patients; BLL, 109 patients). In addition, a retrospective analysis of 31 patients with LSCC and 54 patients with BLL from Fuyang Hospital affiliated with Anhui Medical University was performed as an external validation cohort. In the training cohort, the relevant indices were initially screened using univariate analysis. Then, least absolute shrinkage and selection operator logistic analysis was used to evaluate the significant potential independent risk factors (P<0.05); a dynamic online diagnostic nomogram, whose discrimination was evaluated using the area under the ROC curve (AUC), was constructed, while the consistency was evaluated using calibration plots. Its clinical application was evaluated by performing a decision curve analysis (DCA) and validated by internal validation of the training set and external validation of the validation set. RESULTS: Five independent risk factors, sex (odds ratio [OR]: 6.779, P<0.001), age (OR: 9.257, P<0.001), smoking (OR: 2.321, P=0.005), red blood cell width distribution (OR: 2.698, P=0.001), albumin (OR: 0.487, P=0.012), were screened from the results of the multivariate logistic analysis of the training cohort and included in the LSCC diagnostic nomogram. The nomogram predicted LSCC with AUC values of 0.894 in the training cohort, 0.907 in the internal testing cohort, and 0.966 in the external validation cohort. The calibration curve also proved that the nomogram predicted outcomes were close to the ideal curve, the predicted outcomes were consistent with the real outcomes, and the DCA curve showed that all patients could benefit. This finding was also confirmed in the validation cohort. CONCLUSION: An online nomogram for LSCC was constructed with good predictive performance, which can be used as a practical approach for the personalized early screening and auxiliary diagnosis of the potential risk factors and assist physicians in making a personalized diagnosis and treatment for patients. CI - Copyright (c) 2022 Liu, Han, Chen, Zhang, Yin, Li, Wu, Jiang, Wang, Wang, Fu, Shen, Ding, Yao, Tao, Wu and Liu. FAU - Liu, Yuchen AU - Liu Y AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Han, Yanxun AU - Han Y AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Chen, Bangjie AU - Chen B AD - Anhui Medical University, Hefei, China. AD - Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. FAU - Zhang, Jian AU - Zhang J AD - Department of Otolaryngology, Head and Neck Surgery, The Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, China. FAU - Yin, Siyue AU - Yin S AD - Anhui Medical University, Hefei, China. AD - Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. FAU - Li, Dapeng AU - Li D AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Wu, Yu AU - Wu Y AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Jiang, Yuan AU - Jiang Y AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Wang, Xinyi AU - Wang X AD - Anhui Medical University, Hefei, China. FAU - Wang, Jianpeng AU - Wang J AD - Anhui Medical University, Hefei, China. FAU - Fu, Ziyue AU - Fu Z AD - Anhui Medical University, Hefei, China. FAU - Shen, Hailong AU - Shen H AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Ding, Zhao AU - Ding Z AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. AD - Anhui Medical University, Hefei, China. FAU - Yao, Kun AU - Yao K AD - Department of Otolaryngology, Head and Neck Surgery, The Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, China. FAU - Tao, Ye AU - Tao Y AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. FAU - Wu, Jing AU - Wu J AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. FAU - Liu, Yehai AU - Liu Y AD - Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. LA - eng PT - Journal Article DEP - 20220526 PL - Switzerland TA - Front Oncol JT - Frontiers in oncology JID - 101568867 PMC - PMC9204277 OTO - NOTNLM OT - LASSO regression OT - diagnosis OT - dynamic nomogram OT - laryngeal squamous cell carcinoma OT - risk factors COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2022/06/21 06:00 MHDA- 2022/06/21 06:01 PMCR- 2022/01/01 CRDT- 2022/06/20 03:36 PHST- 2021/12/06 00:00 [received] PHST- 2022/04/25 00:00 [accepted] PHST- 2022/06/20 03:36 [entrez] PHST- 2022/06/21 06:00 [pubmed] PHST- 2022/06/21 06:01 [medline] PHST- 2022/01/01 00:00 [pmc-release] AID - 10.3389/fonc.2022.829761 [doi] PST - epublish SO - Front Oncol. 2022 May 26;12:829761. doi: 10.3389/fonc.2022.829761. eCollection 2022.