Prognostic analysis and nomogram establishment in patients with head and neck myoepithelial carcinoma

Liu, Keyuan; Cai, Lin; Xu, Zhujun; Zhang, Linkun

doi:10.1007/s00405-022-07269-y

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Our nomogram incorporated the TNM staging system and other critical variables but exhibited higher accuracy and better discrimination for the training and validation cohorts. The C‐index and AUC values derived from our nomogram were >0.8 and were superior to those derived from traditional staging systems and most established models in head and neck carcinoma 50‐52 . Liu et al 51 established an OS‐specific nomogram for patients with adenosquamous carcinoma in the oral and maxillofacial region and reported a C‐index of 0.71.…”

Section: Discussionmentioning

confidence: 70%

“…The C-index and AUC values derived from our nomogram were >0.8 and were superior to those derived from traditional staging systems and most established models in head and neck carcinoma. [50][51][52] Liu et al 51 established an OS-specific nomogram for patients with adenosquamous carcinoma in the oral and maxillofacial region and reported a C-index of 0.71. Similarly, a nomogram established for postoperative hypopharyngeal squamous cell carcinoma showed C-index values of 0.705 to 0.723 (training group) and 0.681 to 0.736 (validation group).…”

Section: Discussionmentioning

confidence: 99%

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Prognostic Assessment and Risk Stratification in Patients With Postoperative Major Salivary Acinar Cell Carcinoma

Zhang

Wei

Chai

et al. 2023

Otolaryngol.--head neck surg.

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Objective. To investigate the clinicopathological features and prognosis of postoperative major salivary acinar cell carcinoma (MSACC) and develop a prognostic model. Study Design.Retrospective cohort analysis of a public database.Setting. Patients with MSACC were identified from the Surveillance, Epidemiology, and End Results database .Methods. Overall survival (OS) was evaluated using Kaplan-Meier curves and a log-rank test. Univariate and multivariate Cox analyses were performed to explore independent prognostic factors. The prognostic model was constructed using screened variables and further visualized with a nomogram and web calculator, and assessed by concordance index, the area under the curve, calibration curve, and decision-making curve analysis.Results. An upward trend in the incidence of MSACC was observed throughout the study period. A total of 1398 patients were enrolled (training cohort: 978; validation cohort: 420), and the 5-and 10-year OS rates were 97.7% and 81.6%, respectively. Age, marital status, sex, histological grade, T stage, and lymph node status were identified as prognostic factors for OS. A novel nomogram was developed and showed excellent discrimination and clinical applicability. Additionally, a web calculator was designed to dynamically predict patient survival. Based on the nomogram-based score, a risk stratification system was constructed to distinguish patients with different risks. The OS of high-risk patients was significantly lower than that of the low-risk subgroup. Conclusion.Long-term survival in postoperative MSACC was influenced by 6 prognostic factors. The proposed model enables individualized survival prediction and risk stratification, prompting us to be vigilant in high-risk subgroups and consider timely adjustment of subsequent treatment.

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Section: Discussionmentioning

confidence: 70%

Section: Discussionmentioning

confidence: 99%