Evidence map›Paper›PMID 36962798›Full record

ArticlePLOS global public health2022

Rare disease patients in India are rarely involved in international orphan drug trials.

Monoswi Chakraborty, Mohua Chakraborty Choudhury, Indraneel Chakraborty, Gayatri Saberwal

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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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
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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

4 authors.

Monoswi ChakrabortyInstitute of Bioinformatics and Applied Biotechnology Biotech Park, Bengaluru, India.ORCID https://orcid.org/0000-0002-0041-3986
Mohua Chakraborty ChoudhuryInstitute of Bioinformatics and Applied Biotechnology Biotech Park, Bengaluru, India.ORCID https://orcid.org/0000-0001-6727-9702
Indraneel ChakrabortyInstitute of Bioinformatics and Applied Biotechnology Biotech Park, Bengaluru, India.ORCID https://orcid.org/0000-0001-6958-8269
Gayatri SaberwalInstitute of Bioinformatics and Applied Biotechnology Biotech Park, Bengaluru, India.ORCID https://orcid.org/0000-0003-2410-1431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We wished to determine whether rare diseases patients from India had been enrolled in international trials to develop novel orphan drugs. There are two reasons to be interested in this. (a) Different ethnic or racial groups may respond differently to a particular drug. India has huge ethnic diversity, and to exclude such participants is to severely limit the diversity of any trial; (b) Even if a suitable drug for a rare disease is available in India, it may be astronomically priced, in a country where most healthcare expenditure is out-of-pocket. We identified 63 orphan drugs, approved by the US Food and Drug Administration (FDA) after 2008, for which there were 202 trials in the US government's clinical trial registry, ClinicalTrials.gov. Only nine of these trials had run in India. These trials pertained to six drugs. The drugs were for the conditions B-cell Lymphoma, Chronic Myeloid Leukemia, Gaucher disease Type 1, Malaria, Myeloma and Pulmonary Arterial Hypertension. Further research is required as to why patients from India are not part of foreign drug development programmes for rare diseases. We then asked how many of the remaining 193 trials had recruited people of Indian origin, residing in other countries, and found that not more than 1% of these trials had done so. Also, only 11 of the 193 trials had recruited from other lower income countries. Participation from low-income countries in trials for orphan drugs is poor.

Identifiers

PMID36962798
PMCPMC10021652

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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.