Analysis and reporting of adverse events in randomised controlled trials: a review
File(s)e024537.full.pdf (318.1 KB)
Published version
Author(s)
Phillips, Rachel
Hazell, Lorna
Sauzet, Odile
Cornelius, Victoria
Type
Journal Article
Abstract
ObjectiveTo ascertain contemporaryapproaches to the collection, reporting and analysis of adverse events (AEs)inrandomised controlled trials(RCTs)with a primary efficacy outcome.DesignA reviewof clinical trials of drug interventions from four high impactmedical journals.Data sourcesElectronic contents table of the BMJ, the Journal of the American Medical Association, the Lancet,andthe New England Journal of Medicine were searchedfor reports of original RCTs published between September 2015 and September 2016.MethodsA pre-piloted checklist was used and single data extraction was performed by three reviewers with independent check of a randomly sampled subset to verify quality. We extracted data on collection methods, assessment of severity and causality, reporting criteria, analysis methods and presentation of AE data.ResultsWe identified 184 eligible reports (BMJ n=3; JAMA n=38, Lancet n=62; and NEJM n=81).Sixty-two percent reported some form of spontaneous AE collection but only 29% included details of specific prompts used to ascertain AE data. Numbers that withdrew from the trial were well reported (80%), however only 35% of these reported whether withdrawals were due toAEs.Results presented and analysis performed was predominantly on ‘patients with at least 1event’ with 84% of studies ignoring repeated events. Despite a lack of power to undertake formal hypothesis testing, 47% performed such tests for binary outcomes. ConclusionsThis review highlighted that the collection, reporting and analysis of AE data in clinical trials is inconsistent and RCTs as a source of safety data are underutilised. Areas to improve include reducing information loss when analysing at patient level and inappropriate practice of underpowered multiple hypothesis testing. Implementation of standard reporting practices could enable a more accurate synthesis of safety data and development of guidance for statistical methodology to assesscausality ofAEs could facilitate better statistical practice.
Date Issued
2019-03-01
Date Acceptance
2019-01-16
Citation
BMJ Open, 2019, 9
ISSN
2044-6055
Publisher
BMJ Journals
Journal / Book Title
BMJ Open
Volume
9
Copyright Statement
© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.
This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
Sponsor
National Institute for Health Research
National Institute for Health Research
Grant Number
DRF-2017-10-131
DRF-2017-10-131
Subjects
Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
CLINICAL-TRIALS
SAFETY DATA
THERAPY
ERYTHROPOIETIN
GUIDELINES
CHILDREN
INSULIN
ASPIRIN
PLACEBO
adverse drug reactions
adverse events
harm data
investigational drug
randomised controlled trials
systematic review
1103 Clinical Sciences
1117 Public Health and Health Services
1199 Other Medical and Health Sciences
Publication Status
Published
Article Number
ARTN e024537
Date Publish Online
2019-03-01