Literature DB >> 31837238

Ordinal Outcomes Are Superior to Binary Outcomes for Designing and Evaluating Clinical Trials in Compensated Cirrhosis.

Gennaro D'Amico1, Juan G Abraldes2, Paola Rebora3, Maria Grazia Valsecchi3, Guadalupe Garcia-Tsao4.   

Abstract

BACKGROUND AND AIMS: Prevention of decompensation is a primary therapeutic target in patients with compensated cirrhosis (CC). However, a major problem is the large sample size and long follow-up required to demonstrate a significant treatment effect because of the relatively low baseline risk. For this reason, it has been recently suggested that ordinal outcomes may be used in this area to gain power and reduce sample size. The aim of this study was to assess the applicability of ordinal outcomes in cirrhosis. APPROACH AND
RESULTS: An inception cohort of 202 patients with CC (no ascites, gastrointestinal bleeding, encephalopathy, or jaundice) without esophageal varices was included, and 5-year outcome is reported. Etiology was mostly viral and alcoholic, and there were no dropouts. Ordinal outcome was set according to six grades with a previously established prognostic ordinality: grade 1 = no disease progression; grade 2 = development of varices; grade 3 = bleeding alone; grade 4 = nonbleeding single decompensation; grade 5 = more than one decompensating event; and grade 6 = death. At the 60-month time point, patients were distributed in grades 1 through 6 as follows: 129, 43, 2, 7, 5, and 16, respectively. Emulation of a clinical trial performed by dividing patients based on baseline platelet count into two groups (cutoff, 150 × 109 /L) demonstrated a statistically significant outcome difference between groups when using ordinal outcomes not detectable by binary logistic or chi-square or time-to-event analyses. Additionally, using ordinal outcomes in a hypothetical study to prevent decompensation resulted in sample-size estimates 3-to 4-fold lower than using a binary composite endpoint.
CONCLUSIONS: Compared to traditional binary outcomes, the use of ordinal outcomes in trials of cirrhosis decompensation may provide more power and thus may require a smaller sample size.
© 2020 by the American Association for the Study of Liver Diseases.

Entities:  

Year:  2020        PMID: 31837238     DOI: 10.1002/hep.31070

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


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