Evidence map›Paper›PMID 32493444›Full record

ArticleTrials2020

Changes to aspects of ongoing randomised controlled trials with fixed designs.

Xanthi Coskinas, John Simes, Manjula Schou, Andrew James Martin

Open access · goldAbstract read
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Xanthi CoskinasThe National Health and Medical Research Council Clinical Trial Centre, University of Sydney, Camperdown, NSW, 2050, Australia.
John SimesThe National Health and Medical Research Council Clinical Trial Centre, University of Sydney, Camperdown, NSW, 2050, Australia.
Manjula SchouDepartment of Mathematics and Statistics, Macquarie University, Macquarie Park, NSW, Australia.
Andrew James MartinThe National Health and Medical Research Council Clinical Trial Centre, University of Sydney, Camperdown, NSW, 2050, Australia. andrew.martin@ctc.usyd.edu.au.ORCID http://orcid.org/0000-0001-5804-2295
The University of Sydney · AUMacquarie University · AU

Funding

National Health and Medical Research Council APP1168666
6 · The paper itself

Abstract

backgroundDespite careful planning, changes to some aspects of an ongoing randomised clinical trial (RCT), with a fixed design, may be warranted. We sought to elucidate the distinction between legitimate versus illegitimate changes to serve as a guide for less experienced clinical trialists and other stakeholders.

methodsUsing data from a large trial of statin therapy for secondary prevention, we generated a set of simulated trial datasets under the null hypothesis (H0) and a set under an alternative hypothesis (H1). Through analysis of these simulated trials, we assessed the performance of the strategy of changing aspects of the design/analysis with knowledge of treatment allocation (illegitimate) versus the strategy of making changes without knowledge of treatment allocation (legitimate). Performance was assessed using the type 1 error, as well as measures of absolute and relative bias in the treatment effect.

resultsIllegitimate changes led to a relative bias of 61% under H1, and a type 1 error rate under H0 of 23%-well in excess of the 5% significance level targeted. Legitimate changes produced unbiased estimates under H1 and did not inflate the type 1 error rate under H0.

conclusionsChanges to pre-specified aspects of the design and analysis of an ongoing RCT may be a necessary response to unforeseen circumstances. Such changes risk introducing a bias if undertaken with knowledge of treatment allocation. Legitimate changes need to be adequately documented to provide assurance to all stakeholders of their validity.

Indexed as

BiasHumansRandomized Controlled Trials as TopicResearch DesignBiasDesign changesRandomised control trialsType 1 error

Identifiers

PMID32493444
PMCPMC7268339
OpenAlexW3029738763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.