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An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India

BACKGROUND: Clinical Trials Registry - India (CTRI) was established in July 2007 and today hosts thousands of trials, a significant fraction of them registered in the last couple of years. We wished to undertake an up-to-date analysis of specific fields of the registered trials. In doing so we disco...

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Autores principales: Pillamarapu, Mounika, Mohan, Abhilash, Saberwal, Gayatri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712861/
https://www.ncbi.nlm.nih.gov/pubmed/31455366
http://dx.doi.org/10.1186/s13063-019-3592-0
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author Pillamarapu, Mounika
Mohan, Abhilash
Saberwal, Gayatri
author_facet Pillamarapu, Mounika
Mohan, Abhilash
Saberwal, Gayatri
author_sort Pillamarapu, Mounika
collection PubMed
description BACKGROUND: Clinical Trials Registry - India (CTRI) was established in July 2007 and today hosts thousands of trials, a significant fraction of them registered in the last couple of years. We wished to undertake an up-to-date analysis of specific fields of the registered trials. In doing so we discovered problems with the quality of the data, which we describe in this paper. METHODS: We downloaded CTRI records and reformatted the data into an SQLite database, which we then queried. We also accessed ClinicalTrials.gov records as needed. RESULTS: We discovered various categories of problems with the data in the CTRI database, including (1) a lack of clarity in the classification of Types of Study, (2) internal inconsistencies, (3) incomplete or non-standard information, (4) missing data, (5) variations in names or classification, and (6) incomplete or incorrect details of ethics committees. For most of these problems, error rates have been calculated, over time. Most were found to be in single digits, although others were significantly higher. We suggest how data quality in future editions of CTRI could be improved, including (1) a more elaborate and structured way of classifying the Type of Study, (2) the use of logic rules to prevent internal inconsistencies, (3) less use of free text fields and greater use of drop-down menus, (4) more fields to be made compulsory, (5) the pre-registration of individuals’ and organizations’ names and their subsequent selection from drop-down menus while registering a trial, and (6) more information about each ethics committee, including (a) its address and (b) linking the name of the trial site to the relevant ethics committee. As we discuss problems with the data of specific fields, we also examine — where possible — the quality of the data in the corresponding fields in ClinicalTrials.gov, the largest clinical trial registry in the world. CONCLUSIONS: It is a scientific and ethical obligation to correctly record all information pertaining to each trial run in India. CTRI is a valuable database that has proved its worth in terms of improving the record of trials in the country. The suggestions made herein would improve it further. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13063-019-3592-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-67128612019-09-04 An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India Pillamarapu, Mounika Mohan, Abhilash Saberwal, Gayatri Trials Research BACKGROUND: Clinical Trials Registry - India (CTRI) was established in July 2007 and today hosts thousands of trials, a significant fraction of them registered in the last couple of years. We wished to undertake an up-to-date analysis of specific fields of the registered trials. In doing so we discovered problems with the quality of the data, which we describe in this paper. METHODS: We downloaded CTRI records and reformatted the data into an SQLite database, which we then queried. We also accessed ClinicalTrials.gov records as needed. RESULTS: We discovered various categories of problems with the data in the CTRI database, including (1) a lack of clarity in the classification of Types of Study, (2) internal inconsistencies, (3) incomplete or non-standard information, (4) missing data, (5) variations in names or classification, and (6) incomplete or incorrect details of ethics committees. For most of these problems, error rates have been calculated, over time. Most were found to be in single digits, although others were significantly higher. We suggest how data quality in future editions of CTRI could be improved, including (1) a more elaborate and structured way of classifying the Type of Study, (2) the use of logic rules to prevent internal inconsistencies, (3) less use of free text fields and greater use of drop-down menus, (4) more fields to be made compulsory, (5) the pre-registration of individuals’ and organizations’ names and their subsequent selection from drop-down menus while registering a trial, and (6) more information about each ethics committee, including (a) its address and (b) linking the name of the trial site to the relevant ethics committee. As we discuss problems with the data of specific fields, we also examine — where possible — the quality of the data in the corresponding fields in ClinicalTrials.gov, the largest clinical trial registry in the world. CONCLUSIONS: It is a scientific and ethical obligation to correctly record all information pertaining to each trial run in India. CTRI is a valuable database that has proved its worth in terms of improving the record of trials in the country. The suggestions made herein would improve it further. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13063-019-3592-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-28 /pmc/articles/PMC6712861/ /pubmed/31455366 http://dx.doi.org/10.1186/s13063-019-3592-0 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
Pillamarapu, Mounika
Mohan, Abhilash
Saberwal, Gayatri
An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India
title An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India
title_full An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India
title_fullStr An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India
title_full_unstemmed An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India
title_short An analysis of deficiencies in the data of interventional drug trials registered with Clinical Trials Registry - India
title_sort analysis of deficiencies in the data of interventional drug trials registered with clinical trials registry - india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712861/
https://www.ncbi.nlm.nih.gov/pubmed/31455366
http://dx.doi.org/10.1186/s13063-019-3592-0
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