Pre-trial systematic reviews to justify a new randomised trial and inform its design: proposal for a new review method

One or more systematic reviews of the evidence before launching a new trial serve to document that the clinical question is not answered already in previous trials and to inform the optimal design choices for the new trial. It is rarely documented that thorough systematic reviews are undertaken, and one main reason may be that it is very time and resource demanding to conduct a regular systematic review. To overcome this challenge, we propose a new type of review: the pre-trial systematic review. This review type aims to deliver a comprehensive, but not exhaustive, compendium of existing (published, completed, ongoing, or planned) trials, which can form the basis for deciding whether further trials are needed. The pre-trial systematic review methodology leverages any prior available reviews and clinical trial registries to compile a focused overview of existing trials. In contrast to a traditional systematic review, further assessments and analyses in pre-trial systematic reviews focus exclusively on those defining outcomes that are crucial to decide whether a new trial is needed. After deciding whether a new trial is needed, the overview may be used to justify how the trial should be designed, and it may act as a primer for more exhaustive traditional systematic reviews on the topic.

Authors

Publication Details

Published
2025-08-20
DOI
https://doi.org/10.31219/osf.io/ves7d_v1
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pre-trial systematic reviews to justify a new randomised trial and inform its design: proposal for a new review method

Christian Gluud, John P. A. Ioannidis, Asger Sand Paludan‐Müller, Kim Boesen
Meta-analysis and systematic reviews
article

Pre-trial systematic reviews to justify a new randomised trial and inform its design: proposal for a new review method

Christian Gluud, John P. A. Ioannidis, Asger Sand Paludan‐Müller, Kim Boesen
article en

Abstract

One or more systematic reviews of the evidence before launching a new trial serve to document that the clinical question is not answered already in previous trials and to inform the optimal design choices for the new trial. It is rarely documented that thorough systematic reviews are undertaken, and one main reason may be that it is very time and resource demanding to conduct a regular systematic review. To overcome this challenge, we propose a new type of review: the pre-trial systematic review. This review type aims to deliver a comprehensive, but not exhaustive, compendium of existing (published, completed, ongoing, or planned) trials, which can form the basis for deciding whether further trials are needed. The pre-trial systematic review methodology leverages any prior available reviews and clinical trial registries to compile a focused overview of existing trials. In contrast to a traditional systematic review, further assessments and analyses in pre-trial systematic reviews focus exclusively on those defining outcomes that are crucial to decide whether a new trial is needed. After deciding whether a new trial is needed, the overview may be used to justify how the trial should be designed, and it may act as a primer for more exhaustive traditional systematic reviews on the topic.

American Society of Clinical Oncology, European Society for Medical Oncology
Openalex Percentile: Top 79%
Meta-analysis and systematic reviews
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.