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1.
Head Neck ; 42(4): 763-773, 2020 04.
Artigo em Inglês | MEDLINE | ID: mdl-31762119

RESUMO

The use of predictive models is becoming widespread. However, these models should be developed appropriately (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies [CHARMS] and Prediction model Risk Of Bias ASsessment Tool [PROBAST] statements). Concerning mortality/recurrence in oropharyngeal cancer, we are not aware of any systematic reviews of the predictive models. We carried out a systematic review of the MEDLINE/EMBASE databases of those predictive models. In these models, we analyzed the 11 domains of the CHARMS statement and the risk of bias and applicability, using the PROBAST tool. Six papers were finally included in the systematic review and all of them presented high risk of bias and several limitations in the statistical analysis. The applicability was satisfactory in five out of six studies. None of the models could be considered ready for use in clinical practice.


Assuntos
Recidiva Local de Neoplasia , Neoplasias Orofaríngeas , Humanos , Viés , Neoplasias Orofaríngeas/terapia , Projetos de Pesquisa
2.
Eur J Cancer Care (Engl) ; 28(6): e13157, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31441567

RESUMO

INTRODUCTION: Predictive models must meet clinical/methodological standards to be used in clinical practice. However, no critique of those models relating to mortality/recurrence in tongue cancer has been done bearing in mind the accepted standards. METHODS: We conducted a systematic review evaluating the methodology and clinical applicability of predictive models for mortality/recurrence in tongue cancer published in MEDLINE and Scopus. For each model, we analysed (domains of CHARMS, Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) the following: source of data, participants, outcome to be predicted, candidate predictors, sample size, missing data, model development, model performance, model evaluation, results and interpretation and discussion. RESULTS: We found two papers that included eight prediction models, neither of which adhered to the CHARMS recommendations. CONCLUSION: Given the quality of tongue cancer models, new studies following current consensus are needed to develop predictive tools applicable in clinical practice.


Assuntos
Modelos Estatísticos , Recidiva Local de Neoplasia , Neoplasias da Língua/mortalidade , Previsões , Humanos , Neoplasias da Língua/patologia
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