Survival prediction tools for esophageal and gastroesophageal junction cancer: A systematic review

The Journal of Thoracic and Cardiovascular Surgery
Vaibhav GuptaAlyson L Mahar

Abstract

Clinical, pathological, and molecular information combined with cancer stage in prognostication algorithms can offer more personalized estimates of survival, which might guide treatment choices. Our aim was to evaluate the quality of prognostication tools in esophageal cancer. We systematically searched MedLine and Embase from 2005 to 2017 for studies reporting development or validation of models predicting long-term survival in esophageal cancer. We evaluated tools using the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies guidelines and the American Joint Committee on Cancer acceptance criteria for risk models. We identified 16 prognostication tools for patients treated with curative intent and 1 for patients with metastatic disease. These tools frequently excluded adenocarcinoma, contained outdated data, and were developed with a limited sample size. Nine tools were developed in China for squamous cell cancer, and 11 used data on patients diagnosed before 2010. Most tools excluded key prognostic factors such as age and sex. Tumor stage and grade were the most commonly, but not universally, included factors. Twelve tools were designed to predict overall survival; 5 predicted cancer...Continue Reading

Citations

Jun 20, 2020·Applied Immunohistochemistry & Molecular Morphology : AIMM·Kester HayeKenneth R Shroyer
Sep 1, 2020·The Annals of Thoracic Surgery·Christopher A HeidAlberto L De Hoyos
Apr 3, 2021·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Smita SihagMichael F Berger

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