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Can predictive factors determine the time to treatment initiation for oral and oropharyngeal cancer? A classification and regression tree analysis.
Montagnoli, Débora Rosana Alves Braga Silva; Leite, Vitória Ferreira; Godoy, Yasmim Silva; Lafetá, Vitória Marçolla; Junior, Edmilson Antônio Pereira; Chaurasia, Akhilanand; Aguiar, Maria Cássia Ferreira; Abreu, Mauro Henrique Nogueira Guimarães; Martins, Renata Castro.
Afiliação
  • Montagnoli DRABS; Graduate Program in Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Leite VF; School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Godoy YS; School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Lafetá VM; Technical High School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Junior EAP; School of Education, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Chaurasia A; Department of Oral Medicine and Radiology, King George´s Medical University, Lucknow, Uttar Pradesh, India.
  • Aguiar MCF; Department of Clinic, Dental Pathology and Surgery, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Abreu MHNG; Department of Community and Preventive Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Martins RC; Department of Community and Preventive Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
PLoS One ; 19(4): e0302370, 2024.
Article em En | MEDLINE | ID: mdl-38630775
ABSTRACT
This ecological study aimed to identify the factors with the greatest power to discriminate the proportion of oral and oropharyngeal cancer (OOC) records with time to treatment initiation (TTI) within 30 days of diagnosis in Brazilian municipalities. A descriptive analysis was performed on the variables grouped into five dimensions related to patient characteristics, access to health services, support for cancer diagnosis, human resources, and socioeconomic characteristics of 3,218 Brazilian municipalities that registered at least one case of OOC in 2019. The Classification and Regression Trees (CART) technique was adopted to identify the explanatory variables with greater discriminatory power for the TTI response variable. There was a higher median percentage of records in the age group of 60 years or older. The median percentage of records with stage III and IV of the disease was 46.97%, and of records with chemotherapy, radiation, or both as the first treatment was 50%. The median percentage of people with private dental and health insurance was low. Up to 75% had no cancer diagnostic support services, and up to 50% of the municipalities had no specialist dentists. Most municipalities (49.4%) started treatment after more than 30 days. In the CART analysis, treatment with chemotherapy, radiotherapy, or both explained the highest TTI in all municipalities, and it was the most relevant for predicting TTI. The final model also included anatomical sites in the oral cavity and oropharynx and the number of computed tomography services per 100,000. There is a need to expand the availability of oncology services and human resources specialized in diagnosing and treating OOC in Brazilian municipalities for a timely TTI of OOC.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Neoplasias Orofaríngeas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Neoplasias Orofaríngeas Idioma: En Ano de publicação: 2024 Tipo de documento: Article