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.
Background There has been a significant increase in the number of trials registered with Clinical Trials Registry – India (CTRI) recently. We therefore wished to understand the current landscape of interventional, drug trials that have run in India. Methods We downloaded all trial records on 4 April 2018, and queried the data after it was formatted into an SQLite database. We distinguished trials hosted by India (India-only trials) and those co-hosted by India and other countries (India-etc trials). Results We analyzed eight fields of data, with the following key results: (a) Year of registration: The India-etc set suffered a serious dip in 2013. Both sets increased sharply in 2017. (b) Phase: Phase 3 trials were the most common in both sets of data, but were manifold more common in the India-etc set. 30% of the India-only trials had no phase information. (c) Trial sites: Four states each account for 50% or more of the sites in both sets of data. Also, 7–8 cities accounted for 50% or more sites in both sets. (d) Ethics committees: Over 70% of India-only trials had a single ethics committee, but the India-etc trials had a much greater spread. For each set, the maximum exceeded 60 committees per trial. (e) Principal Investigator (PI): 84% and 73% of PIs in the India-only and India-etc sets, respectively, had run a single trial each. One PI had run as many as 44 trials. (f) Primary sponsors: global pharma companies sponsored less than 5% of the India-only set but 92% of the India-etc set. (g) Fraction of subjects from India in India-etc trials: An abnormally large fraction of participants are not recruited from India. (h) Countries co-hosting the India-etc trials: The pattern was similar to that found for international trials co-hosted by Australia. Conclusions It is important to understand the landscape of trials being run in any country, to understand the recent past, in case of any red flags, and to serve as inputs to changes in policy. The data also serves as a baseline for the future, to ascertain the impacts of new policies, locally or globally.
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