Identifying individuals at risk of esophageal adenocarcinoma: challenges, existing tools and future steps.
Curr Opin Gastroenterol
; 39(4): 320-325, 2023 07 01.
Article
em En
| MEDLINE
| ID: mdl-37265210
ABSTRACT
PURPOSE OF REVIEW This review aims to discuss some of the clinical and epidemiological challenges of risk prediction models; summarize the evidence supporting existing models; and highlight the translational requirements. RECENT FINDINGS:
A variety of risk prediction models exist to identify prevalent Barrett's esophagus or predict future esophageal adenocarcinoma. External validation studies have investigated performance of these models in a variety of settings. These models appear to be more predictive than use of symptoms alone, but the added complexity means that implementation challenges may require investigation.SUMMARY:
Risk prediction models could be useful for identifying individuals at an increased risk of esophageal adenocarcinoma, which could assist screening decisions. However, risk prediction models must be implemented with care. Implementation science to assist the translation of existing models into practice may be an important next step.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Esôfago de Barrett
/
Neoplasias Esofágicas
/
Adenocarcinoma
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article