Essential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database (2024)
- Authors:
- Autor USP: KOWALSKI, LUIZ PAULO - FM
- Unidade: FM
- DOI: 10.1016/j.ejca.2024.114038
- Subjects: NEOPLASIAS; RADIOTERAPIA; NEOPLASIAS DE CABEÇA E PESCOÇO; CONSENSO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: European journal of cancer
- ISSN: 0959-8049
- Volume/Número/Paginação/Ano: v. 203, article ID 114038, 10p, 2024
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
BALIGA, Sujith et al. Essential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database. European journal of cancer, v. 203, 2024Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/76775. Acesso em: 01 abr. 2026. -
APA
Baliga, S., Abou-foul, A. K., Parente, P., Szturz, P., Thariat, J., Shreenivas, A., et al. (2024). Essential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database. European journal of cancer, 203. doi:10.1016/j.ejca.2024.114038 -
NLM
Baliga S, Abou-foul AK, Parente P, Szturz P, Thariat J, Shreenivas A, Nankivell P, Bertolini F, Biau J, Kowalski LP. Essential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database [Internet]. European journal of cancer. 2024 ; 203[citado 2026 abr. 01 ] Available from: https://observatorio.fm.usp.br/handle/OPI/76775 -
Vancouver
Baliga S, Abou-foul AK, Parente P, Szturz P, Thariat J, Shreenivas A, Nankivell P, Bertolini F, Biau J, Kowalski LP. Essential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database [Internet]. European journal of cancer. 2024 ; 203[citado 2026 abr. 01 ] Available from: https://observatorio.fm.usp.br/handle/OPI/76775 - SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
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