The University of Southampton
University of Southampton Institutional Repository

The quality of the reported sample size calculation in clinical trials on COVID-19 patients indexed in PubMed

The quality of the reported sample size calculation in clinical trials on COVID-19 patients indexed in PubMed
The quality of the reported sample size calculation in clinical trials on COVID-19 patients indexed in PubMed
Letter to the Editor: Given the utmost priority of COVID-19 research, many medical journals, especially the leading ones, expedited the review process of these papers. It was expected that the amount of submitted papers for peer review would raise sharply and the deadline of the review period at the COVID-19 outbreak will be tightened. Therefore, sample size calculation of these papers, a component that was being omitted in more than 40% of the published randomized controlled trials,1 might be neglected during the peer review process. Most importantly, authors of these papers were also rushing to conduct their COVID-19 research and they might not have seek necessary statistical consultation regarding sample size calculation. The CONsolidated Standards Of Reporting Trials (CONSORT) statement recommends trial reports to provide all essential information on the determination of sample size, including the level of statistical significance, the desired level of power, and the estimated effect size of the treatment. However, the degree of compliance to the CONSORT statement regarding sample size calculation of the newly-published COVID-19 trial papers is unknown. Therefore, we reviewed all clinical trials on COVID-19 patients published from 1st January 2020 to 4th April 2020 indexed in PubMed
Protocol, Sample size, SARS-CoV-2, Statistics, Trials
0953-6205
139-140
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951

Lee, Paul H. (2020) The quality of the reported sample size calculation in clinical trials on COVID-19 patients indexed in PubMed. European Journal of Internal Medicine, 77 (7), 139-140. (doi:10.1016/j.ejim.2020.04.057).

Record type: Letter

Abstract

Letter to the Editor: Given the utmost priority of COVID-19 research, many medical journals, especially the leading ones, expedited the review process of these papers. It was expected that the amount of submitted papers for peer review would raise sharply and the deadline of the review period at the COVID-19 outbreak will be tightened. Therefore, sample size calculation of these papers, a component that was being omitted in more than 40% of the published randomized controlled trials,1 might be neglected during the peer review process. Most importantly, authors of these papers were also rushing to conduct their COVID-19 research and they might not have seek necessary statistical consultation regarding sample size calculation. The CONsolidated Standards Of Reporting Trials (CONSORT) statement recommends trial reports to provide all essential information on the determination of sample size, including the level of statistical significance, the desired level of power, and the estimated effect size of the treatment. However, the degree of compliance to the CONSORT statement regarding sample size calculation of the newly-published COVID-19 trial papers is unknown. Therefore, we reviewed all clinical trials on COVID-19 patients published from 1st January 2020 to 4th April 2020 indexed in PubMed

This record has no associated files available for download.

More information

Accepted/In Press date: 27 April 2020
Published date: 1 July 2020
Keywords: Protocol, Sample size, SARS-CoV-2, Statistics, Trials

Identifiers

Local EPrints ID: 475048
URI: http://eprints.soton.ac.uk/id/eprint/475048
ISSN: 0953-6205
PURE UUID: 29b5f8cb-170f-4a7a-9447-acf563d59e32
ORCID for Paul H. Lee: ORCID iD orcid.org/0000-0002-5729-6450

Catalogue record

Date deposited: 09 Mar 2023 18:48
Last modified: 17 Mar 2024 04:16

Export record

Altmetrics

Contributors

Author: Paul H. Lee ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×