2020 Nigerian journal of clinical …

Locally advanced orofacial malignancy: Synopsis of inoperable lesions at an urban tertiary health facility in Nigeria.

, ,

Nigerian journal of clinical practice Vol. 23 (5) : 691-696 • May 2020

BACKGROUND: Locally advanced inoperable orofacial malignancies do present clinically, and constitute a significant public health burden worldwide. OBJECTIVE: To determine the prevalence and clinical characteristics of Stage IV locally advanced inoperable orofacial malignancies for consecutive patients. MATERIALS AND METHODS: A 24-year retrospective study was undertaken, and data obtained from hospital register, case files, and histopathological reports of patients were recorded in a proforma. The variables studied were age, sex, type of lesion and site, duration of lesion, tobacco/alcohol use, and socioeconomic status of the patients and clinical features of the lesions. RESULTS: Twenty-six patients presented, giving a prevalence of 11.2%. The most common lesion was adenoid cystic carcinoma, 23.1%. Males accounted for 18 (69.2%) cases and females, 8 (30.8%) giving a male to female ratio of 2.3:1. The ages ranged from 21 to 65 years, mean (SD) 48.6 (7.3) years. The gender distribution was clinically and statistically significant in favor of the males (P = 0.001). The patients were in the low socioeconomic class and 20 (76.9%) indulged in chronic use of tobacco and alcohol. The duration of the lesions ranged from 1.8 to 3.1 years. The maxilla/facial skin was the commonest site (46.2%). Clinically and statistically, the relativity of site distribution of lesions was significant (P = 0. 002). The clinical features occurred in combination resulting in an average of 10 symptoms and signs in each patient. CONCLUSION: The synopsis of these lesions shows that all have undergone metastasis; salivary gland malignancies were most common with maxilla as the commonest site.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.