How to interpret clinical trials with sequential analysis that were stopped early

Sequential analysis of clinical trials allows researchers a continuous monitoring of emerging data and greater security to avoid subjecting the trial participants to a less effective therapy before the inferiority is evident, while controlling the overall error rate. Although it has been widely used...

Full description

Bibliographic Details
Main Authors: Luis Ignacio Garegnani, Marcelo Arancibia, Eva Madrid, Juan Víctor Ariel Franco
Format: Article
Language:English
Published: Medwave Estudios Limitada 2020-06-01
Series:Medwave
Subjects:
Online Access:https://www.medwave.cl/link.cgi/Medwave/Revisiones/MetodInvestReport/7930.act
id doaj-870c98b1b2c84b5c8ec108b4ee6703ec
record_format Article
spelling doaj-870c98b1b2c84b5c8ec108b4ee6703ec2020-11-25T03:44:46ZengMedwave Estudios LimitadaMedwave0717-63840717-63842020-06-012005e7930e793010.5867/medwave.2020.05.7930How to interpret clinical trials with sequential analysis that were stopped earlyLuis Ignacio Garegnani0Marcelo Arancibia1Eva Madrid2Juan Víctor Ariel Franco3Departamento de Investigación, Centro Cochrane Asociado, Instituto Universitario Hospital Italiano, Buenos Aires, ArgentinaCentro Interdisciplinario de Estudios de Salud (CIESAL), Escuela de Medicina, Facultad de Medicina, Universidad de Valparaíso, Valparaíso, ChileCentro Interdisciplinario de Estudios de Salud (CIESAL), Escuela de Medicina, Facultad de Medicina, Universidad de Valparaíso, Valparaíso, ChileDepartamento de Investigación, Centro Cochrane Asociado, Instituto Universitario Hospital Italiano, Buenos Aires, ArgentinaSequential analysis of clinical trials allows researchers a continuous monitoring of emerging data and greater security to avoid subjecting the trial participants to a less effective therapy before the inferiority is evident, while controlling the overall error rate. Although it has been widely used since its development, sequential analysis is not problem-free. Among them main issues to be mentioned are the balance between safety and efficacy, overestimation of the effect size of interventions and conditional bias. In this review, we develop different aspects of this methodology and the impact of including early-stopped clinical trials in systematic reviews with meta-analysis.https://www.medwave.cl/link.cgi/Medwave/Revisiones/MetodInvestReport/7930.actrandomized controlled trialbiassystematic reviewmeta-analysisepidemiology
collection DOAJ
language English
format Article
sources DOAJ
author Luis Ignacio Garegnani
Marcelo Arancibia
Eva Madrid
Juan Víctor Ariel Franco
spellingShingle Luis Ignacio Garegnani
Marcelo Arancibia
Eva Madrid
Juan Víctor Ariel Franco
How to interpret clinical trials with sequential analysis that were stopped early
Medwave
randomized controlled trial
bias
systematic review
meta-analysis
epidemiology
author_facet Luis Ignacio Garegnani
Marcelo Arancibia
Eva Madrid
Juan Víctor Ariel Franco
author_sort Luis Ignacio Garegnani
title How to interpret clinical trials with sequential analysis that were stopped early
title_short How to interpret clinical trials with sequential analysis that were stopped early
title_full How to interpret clinical trials with sequential analysis that were stopped early
title_fullStr How to interpret clinical trials with sequential analysis that were stopped early
title_full_unstemmed How to interpret clinical trials with sequential analysis that were stopped early
title_sort how to interpret clinical trials with sequential analysis that were stopped early
publisher Medwave Estudios Limitada
series Medwave
issn 0717-6384
0717-6384
publishDate 2020-06-01
description Sequential analysis of clinical trials allows researchers a continuous monitoring of emerging data and greater security to avoid subjecting the trial participants to a less effective therapy before the inferiority is evident, while controlling the overall error rate. Although it has been widely used since its development, sequential analysis is not problem-free. Among them main issues to be mentioned are the balance between safety and efficacy, overestimation of the effect size of interventions and conditional bias. In this review, we develop different aspects of this methodology and the impact of including early-stopped clinical trials in systematic reviews with meta-analysis.
topic randomized controlled trial
bias
systematic review
meta-analysis
epidemiology
url https://www.medwave.cl/link.cgi/Medwave/Revisiones/MetodInvestReport/7930.act
work_keys_str_mv AT luisignaciogaregnani howtointerpretclinicaltrialswithsequentialanalysisthatwerestoppedearly
AT marceloarancibia howtointerpretclinicaltrialswithsequentialanalysisthatwerestoppedearly
AT evamadrid howtointerpretclinicaltrialswithsequentialanalysisthatwerestoppedearly
AT juanvictorarielfranco howtointerpretclinicaltrialswithsequentialanalysisthatwerestoppedearly
_version_ 1724512835374940160