Evidence map›Paper›PMID 38765552›Full record

ArticlePerspectives in clinical research

A descriptive study of new drug approvals during 2017-2021 and disease morbidity and mortality patterns in India.

Urvashi Gupta, Ashwin Kamath, Priyanka Kamath

Abstract read
In one paragraph

Article in Perspectives in clinical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Urvashi GuptaDepartment of Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Ashwin KamathDepartment of Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Priyanka KamathDepartment of Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Studies show the presence of a mismatch between drug research and disease burden. A study conducted in the European Union found that new drug development was restricted to certain diseases. A study of biosimilar approvals in India found that 87% of drugs were for treating noncommunicable diseases. This study aimed to determine the new drugs approved in India from 2017 to 2021 and the top ten causes of morbidity and mortality and detect the presence of any discordance between these. Methods: A descriptive study was conducted using data on new drug approvals accessed from the Central Drugs Standard Control Organization website. The top ten causes of mortality and morbidity in India from 2015 to 2019 were identified from the Global Burden of Diseases database. Descriptive statistics were used to compare the drug approvals and the leading diseases. Results: One hundred twenty-six drugs were approved during the study period. Antineoplastic drugs constituted 19.84% of the approvals, antimicrobials 18.25%, and cardiovascular drugs 9.52%. Ischemic heart disease and chronic obstructive pulmonary disease were the two leading causes of morbidity and mortality. Diarrheal diseases, lower respiratory tract infection, and drug-susceptible tuberculosis were among the top ten causes. Ten antibacterials, including four antitubercular drugs, were approved during this period. Two drugs were approved for rare diseases. Conclusion: Our study showed that the drugs approved were largely in line with the prevalent disease burden, and there was no significant discordance observed. Some diseases, such as ischemic stroke/intracranial hemorrhage, require further efforts in bringing forth newer pharmacotherapy options.

Indexed as

Drug approvalinvestigational new drugsmorbiditymortalitynoncommunicable diseases

Identifiers

PMID38765552
PMCPMC11101002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.