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Some data quality issues at ClinicalTrials.gov

BACKGROUND: Clinical trial registries have been established as a form of public accountability. Sponsors ought to register their trials promptly and accurately, but this is not always done. Some of the problems include non-registration of trials, registration of trials with incomplete information, a...

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Autores principales: Chaturvedi, Neha, Mehrotra, Bagish, Kumari, Sangeeta, Gupta, Saurabh, Subramanya, H. S., Saberwal, Gayatri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591874/
https://www.ncbi.nlm.nih.gov/pubmed/31234923
http://dx.doi.org/10.1186/s13063-019-3408-2
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author Chaturvedi, Neha
Mehrotra, Bagish
Kumari, Sangeeta
Gupta, Saurabh
Subramanya, H. S.
Saberwal, Gayatri
author_facet Chaturvedi, Neha
Mehrotra, Bagish
Kumari, Sangeeta
Gupta, Saurabh
Subramanya, H. S.
Saberwal, Gayatri
author_sort Chaturvedi, Neha
collection PubMed
description BACKGROUND: Clinical trial registries have been established as a form of public accountability. Sponsors ought to register their trials promptly and accurately, but this is not always done. Some of the problems include non-registration of trials, registration of trials with incomplete information, and non-reporting of trial results on time. In this study we enumerate or quantify some quality issues with respect to Principal Investigator (PI) and Responsible Party data. METHODS: We analyzed interventional trials registered with ClinicalTrials.gov. Using certain selection criteria, we started with 112,013 records, and then applied further filters. The trial had to (a) start between 1 January 2005 and 31 December 2014, (b) include a “drug” or “biological” in the “intervention” field, (c) be registered with an American authority, and (d) list a real person’s name as investigator and also his or her role in the study. RESULTS: We identified four categories of errors in the ClinicalTrials.gov records. First, some data were missing. The name of the investigator, or his or her role, was missing in 12% of 35,121 trials. In examining 71,359 pairs of names and roles, 17% of the “names” were found to be not those of real persons, but instead junk information. Second, there were variations in a large number of names. We identified 19 categories of variants. We determined that 13% of the names had variants that could not be resolved using a program. Third, some trials listed many PIs each, although only one such person holds overall responsibility for the trial and therefore not more than one person should be listed as PI. Fourth, in examining whether the PI’s name was available as part of the Responsible Party tag, we found that in 1221 (3.5%) of 35,121 trials, the Responsible Party tag is absent. CONCLUSIONS: We have outlined four categories of problems with data hosted by ClinicalTrials.gov and have quantified three of them. We also suggest how these errors could be prevented in future. It is important to carry out various kinds of audits of trial registries, in order to identify lacunae in the records, that they be addressed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13063-019-3408-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-65918742019-07-08 Some data quality issues at ClinicalTrials.gov Chaturvedi, Neha Mehrotra, Bagish Kumari, Sangeeta Gupta, Saurabh Subramanya, H. S. Saberwal, Gayatri Trials Research BACKGROUND: Clinical trial registries have been established as a form of public accountability. Sponsors ought to register their trials promptly and accurately, but this is not always done. Some of the problems include non-registration of trials, registration of trials with incomplete information, and non-reporting of trial results on time. In this study we enumerate or quantify some quality issues with respect to Principal Investigator (PI) and Responsible Party data. METHODS: We analyzed interventional trials registered with ClinicalTrials.gov. Using certain selection criteria, we started with 112,013 records, and then applied further filters. The trial had to (a) start between 1 January 2005 and 31 December 2014, (b) include a “drug” or “biological” in the “intervention” field, (c) be registered with an American authority, and (d) list a real person’s name as investigator and also his or her role in the study. RESULTS: We identified four categories of errors in the ClinicalTrials.gov records. First, some data were missing. The name of the investigator, or his or her role, was missing in 12% of 35,121 trials. In examining 71,359 pairs of names and roles, 17% of the “names” were found to be not those of real persons, but instead junk information. Second, there were variations in a large number of names. We identified 19 categories of variants. We determined that 13% of the names had variants that could not be resolved using a program. Third, some trials listed many PIs each, although only one such person holds overall responsibility for the trial and therefore not more than one person should be listed as PI. Fourth, in examining whether the PI’s name was available as part of the Responsible Party tag, we found that in 1221 (3.5%) of 35,121 trials, the Responsible Party tag is absent. CONCLUSIONS: We have outlined four categories of problems with data hosted by ClinicalTrials.gov and have quantified three of them. We also suggest how these errors could be prevented in future. It is important to carry out various kinds of audits of trial registries, in order to identify lacunae in the records, that they be addressed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13063-019-3408-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-24 /pmc/articles/PMC6591874/ /pubmed/31234923 http://dx.doi.org/10.1186/s13063-019-3408-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Chaturvedi, Neha
Mehrotra, Bagish
Kumari, Sangeeta
Gupta, Saurabh
Subramanya, H. S.
Saberwal, Gayatri
Some data quality issues at ClinicalTrials.gov
title Some data quality issues at ClinicalTrials.gov
title_full Some data quality issues at ClinicalTrials.gov
title_fullStr Some data quality issues at ClinicalTrials.gov
title_full_unstemmed Some data quality issues at ClinicalTrials.gov
title_short Some data quality issues at ClinicalTrials.gov
title_sort some data quality issues at clinicaltrials.gov
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591874/
https://www.ncbi.nlm.nih.gov/pubmed/31234923
http://dx.doi.org/10.1186/s13063-019-3408-2
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