Evidence map›Paper›PMID 36962581›Full record

ArticlePLOS global public health2022

An analysis of deficiencies in the ethics committee data of certain interventional trials registered with the Clinical Trials Registry-India.

Indraneel Chakraborty, Adya Shreya, Jaishree Mendiratta, Anant Bhan, Gayatri Saberwal

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Indraneel ChakrabortyInstitute of Bioinformatics and Applied Biotechnology, Bengaluru, India.ORCID https://orcid.org/0000-0001-6958-8269
Adya ShreyaInstitute of Bioinformatics and Applied Biotechnology, Bengaluru, India.ORCID https://orcid.org/0000-0002-0277-6449
Jaishree MendirattaInstitute of Bioinformatics and Applied Biotechnology, Bengaluru, India.ORCID https://orcid.org/0000-0001-7387-281X
Anant BhanCentre for Ethics, Yenepoya (deemed to be University), Mangaluru, India.ORCID https://orcid.org/0000-0002-7456-535X
Gayatri SaberwalInstitute of Bioinformatics and Applied Biotechnology, Bengaluru, India.ORCID https://orcid.org/0000-0003-2410-1431
Institute of Bioinformatics and Applied Biotechnology · INYenepoya University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is widespread agreement that clinical trials should be registered in a public registry, preferably before the trial commences. It is also important that details of each trial in the public record are complete and accurate. In this study, we examined the trial sites and ethics committee (EC) data for 1359 recent Phase 2 or Phase 3 interventional trials registered with Clinical Trials Registry-India (CTRI), to identify categories of problems that prevent the clear identification of which EC approved a given site. We created an SQLite database that hosted the relevant CTRI records, and queried this database, as needed. We identified two broad categories of problems: those pertaining to the understanding of an individual trial and those to adopting a data analytics approach for a large number of trials. Overall, about 30 problems were identified, such as an EC not being listed; an uninformative name of the EC that precluded its clear identification; ambiguity in which EC supervised a particular site; repetition of a site or an EC; the use of a given acronym for different organizations; site name not clearly listed, etc. The large number of problems with the data in the EC or site field creates a challenge to link particular sites with particular ECs, especially if a programme is used to find the matches. We make a few suggestions on how the situation could be improved. Most importantly, list the EC registration number for each EC, merge the site and EC tables so that it is clear which EC is linked to which site; and implement logic rules that would prevent a trial from being registered unless certain conditions were met. This will raise user confidence in CTRI EC data, and enable data based public policy and inferences. This will also contribute to increased transparency, and trust, in clinical trials, and their oversight, in India.

Identifiers

PMID36962581
PMCPMC10021301
OpenAlexW4307171235

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read38
identifiers read5
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.