ArticleWorld journal of gastroenterology2014
McGill Brisbane Symptom Score for patients with resectable pancreatic head adenocarcinoma.
Article in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2017Article
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10 authors.
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Abstract
aimTo evaluate the ability of the McGill Brisbane Symptom Score (MBSS) to predict survival in resectable pancreatic head adenocarcinoma (PHA) patients.
methodsAll PHA patients (n = 83) undergoing pancreaticoduodenectomy at the McGill University Health Center, Quebec between 1/2001-1/2010 were evaluated. Data related to patient and cancer characteristics, MBSS variables, and treatment were collected; univariable and multivariable survival analyses were performed. We obtained complete follow-up until February 2011 in all patients through the database of the provincial health insurance plan of Quebec. The unique health insurance numbers of these patients were used to retrieve information from this database which captures all billable clinical encounters, and ensures 100% actual survival data.
resultsMedian survival was 23 mo overall: 45 mo for patients with low MBSS, 17 mo for high MBSS (P = 0.005). At twelve months survival was 83.3% (95%CI: 66.6-92.1) vs 58.1% (95%CI: 42.1-71.2) in those with low vs high MBSS, and 24 mo survival was 63.8% (95%CI: 45.9-77.1) and 34.0% (95%CI: 20.2-48.2) respectively. In the multivariate Cox model (stratified by chemotherapy), after addition of clinically meaningful covariates, MBSS was the variable with the strongest association with survival (HR = 2.63; P = 0.001). Adjuvant chemotherapy interacted with MBSS category such that only high MBSS patients accrued a benefit. In univariate analysis we found a lower mortality in high MBSS but not low MBSS patients receiving adjuvant chemotherapy. This interaction variable, on Cox model, resulted in an adjusted mortality HR for the high MBSS (compared to low MBSS) of 4.14 (95%CI: 1.48-11.64) without chemotherapy and 2.11 (95%CI: 1.06-4.17) with chemotherapy.
conclusionThe MBSS is a simple prognostic tool for resectable PHA. Preoperative categorization of patients according to the MBSS allows effective stratification of patients to guide therapy.
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