Key clinical and demographic factors influencing head and neck tumor severity in Lagos
Emmanuel Temitope Aladenika, Warith Olaitan Akinshipo, Adegbayi Adeola Adekunle, Tosin Bakare, Tamara Busch, Olajumoke Ajibola Effiom, Wasiu Adeyemo, Azeez Butali

TL;DR
This study identifies age, tumor site, and other factors that predict malignancy in head and neck tumors in Lagos, Nigeria, and develops a predictive model to help improve patient care.
Contribution
The study introduces a predictive model for malignancy risk in head and neck tumors in a Nigerian population, where no such model previously existed.
Findings
Age, tumor site, laterality, and duration before presentation were significant predictors of malignancy.
The mandible was the most common tumor site, and squamous cell carcinoma was the most common malignancy.
The predictive model achieved an area under the curve of 0.864 and 0.883, indicating strong performance.
Abstract
Head and neck tumors pose a major health challenge in Nigeria, yet the factors that influence their severity remain poorly understood. No predictive model currently exists to assess malignancy risk in this population. This study aimed to identify key clinical and demographic predictors and to develop a model for malignancy risk in tumors diagnosed in Lagos, Nigeria. We analyzed patient records with tumor diagnoses from 2000 to 2024, obtained from the Oral and Maxillofacial Surgery and Oral Pathology departments of the Lagos University Teaching Hospital. Surgical biopsy records and corresponding histopathology reports were reviewed. Tumor sites were grouped into five anatomical regions: mandible, midface, oral mucosa and salivary glands, extra oral, and unspecified regions. Descriptive statistics summarized patient and tumor features, while statistical analyses examined associations…
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Taxonomy
TopicsHead and Neck Cancer Studies · Oral and Maxillofacial Pathology · Nonmelanoma Skin Cancer Studies
