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Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal Carcinoma

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Key Points Question Can risk-stratified posttreatment surveillance regimens for oropharyngeal carcinoma based on a decision analytical model outperform strategies based on current clinical practice? Findings In this decision analytical modeling… Click to show full abstract

Key Points Question Can risk-stratified posttreatment surveillance regimens for oropharyngeal carcinoma based on a decision analytical model outperform strategies based on current clinical practice? Findings In this decision analytical modeling study, strategies optimized for tumor stage and human papillomavirus status were associated with a lower mean surveillance latency, defined as time between onset of recurrence of oropharyngeal carcinoma and its radiologic discovery, compared with common clinical guidelines. Compared with common medical reimbursement guidelines, model-optimized strategies were associated with lower detection latency without requiring any additional imaging studies. Meaning This study suggests that radiologic surveillance strategies optimized using patient and tumor risk factors may result in earlier detection of recurrent oropharyngeal carcinoma compared with current paradigms.

Keywords: decision analytical; surveillance; oropharyngeal carcinoma; posttreatment surveillance

Journal Title: JAMA Network Open
Year Published: 2022

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