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SYSTEMATIC REVIEW article

Front. Oncol.
Sec. Head and Neck Cancer
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1478385

Clinical Predictive Models for Recurrence and Survival in Treated Laryngeal and Hypopharyngeal Cancer: A Systematic Review and Meta-analysis

Provisionally accepted
Ahmad K Abou-Foul Ahmad K Abou-Foul 1,2,3*Janine Dretzke Janine Dretzke 4Esther Albon Esther Albon 4Caroline Kristunas Caroline Kristunas 1,3David J Moore David J Moore 4Andreas Karwath Andreas Karwath 2,3Georgios Gkoutos Georgios Gkoutos 2,3Hisham Mehanna Hisham Mehanna 1,3Paul Nankivell Paul Nankivell 1,3
  • 1 Institute for Head and Neck Studies and Education, University of Birmingham, BIRMINGHAM, United Kingdom
  • 2 Centre for Health Data Science, University of Birmingham, Birmingham, England, United Kingdom
  • 3 Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, England, United Kingdom
  • 4 Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

The final, formatted version of the article will be published soon.

    makes a significant contribution to the field of prognosis prediction for laryngeal and hypopharyngeal cancer by critically evaluating the effectiveness of predictive models used for these patients. Despite advancements in personalized medicine, our research highlights that none of the current models consistently deliver the high accuracy required for routine clinical use. Through a systematic review and meta-analysis, we identified 11 models, yet only two showed acceptable performance in predicting patient outcomes, and even these had significant limitations. This finding is crucial because it challenges the reliance on these models in clinical settings, emphasizing the need for more robust and reliable tools. By shedding light on the methodological flaws and high risk of bias present in these models, our study calls for urgent improvements in predictive modeling for these cancers. Ultimately, this research urges the oncology community to re-evaluate current practices and invest in developing better predictive models, which is vital for improving patient outcomes and advancing personalized cancer care.

    Keywords: Outcome predictive model, Laryngeal cancer, Hypopharyngeal cancer, Survival, Recurrence, Systematic review

    Received: 09 Aug 2024; Accepted: 06 Nov 2024.

    Copyright: © 2024 Abou-Foul, Dretzke, Albon, Kristunas, Moore, Karwath, Gkoutos, Mehanna and Nankivell. 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) or licensor 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.

    * Correspondence: Ahmad K Abou-Foul, Institute for Head and Neck Studies and Education, University of Birmingham, BIRMINGHAM, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.