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Methodological Issues with Head and Neck Cancer Prognostic Risk Prediction Models
H Ghanati1, S Madathil1, M Al-Tamimi1
1Faculty of Dental Medicine and Oral Health Sciences, McGill University, Canada.
Community Dental Health
|September 18, 2023
Summary
Current head and neck cancer (HNC) risk models lack methodological detail. A review found high bias and limited clinical applicability, hindering accurate HNC prognosis.
Area of Science:
- Oncology
- Biostatistics
- Epidemiology
Background:
- Prognostic risk prediction models are crucial for head and neck cancer (HNC) management.
- Existing HNC risk models require comprehensive methodological evaluation.
- This study aims to identify strengths and limitations in HNC risk prediction model development.
Approach:
- A systematic scoping review was conducted.
- Searches included major biomedical databases (Medline, Embase, Scopus, Web of Science, CAB Abstracts).
- The PROBAST tool was used for critical appraisal of study quality.
Key Points:
- Nine studies developing or validating HNC risk prediction models were included.
- All reviewed models exhibited a high risk of bias, primarily in the analysis domain.
- Only two studies raised significant concerns regarding clinical applicability.
Conclusions:
- Published HNC risk prediction models offer insufficient methodological transparency.
- Assessing the quality and clinical utility of current HNC models is challenging.
- Future research must adhere to reporting guidelines for prediction modeling studies to improve reliability.
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