Evidence map›Paper›PMID 36537406›Full record

ReviewIndian journal of pharmacology

Drug development process and COVID-19 pandemic: Flourishing era of outsourcing.

Himika Wasan, Devendra Singh, K H Reeta, Pooja Gupta, Yogendra Kumar Gupta

Abstract readReview
In one paragraph

Review in Indian journal of pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Himika WasanDepartment of Pharmacology, AIIMS, New Delhi, India.
Devendra SinghDepartment of Pharmacology, AIIMS, New Delhi, India.
K H ReetaDepartment of Pharmacology, AIIMS, New Delhi, India.
Pooja GuptaDepartment of Pharmacology, AIIMS, New Delhi, India.
Yogendra Kumar GuptaPresident, AIIMS Bhopal & Jammu, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional drug development is a tedious process with involvement of enormous cost and a high attrition rate. Outsourcing drug development services to contract research organizations (CROs) has become an important strategy for cost and risk reduction, capacity building, and data generation. The therapeutic and operational expertise of these CROs has allowed pharmaceutical industry to reduce in-house infrastructure as well as research capacity. Working with specialized CROs has not only increased the rate of success but also the speed of drug discovery process. Small firms with promising molecules but limited resources and large firms interested in diversifying their dimensions are utilizing the services of efficient CROs. Globally, approximately one-third of the drug development processes are now being outsourced and the data generated by the independent third party are well appreciated during regulatory submissions. In this article, we discuss the international and national trends, outsourcing services and models, key considerations while selecting CRO, and benefits and challenges of outsourcing. Further, we discuss how the technical expertise of competent CROs was utilized when traditional ways of conducting clinical trials were disrupted by the COVID-19 pandemic. Taken together, the increasing health-care demands, COVID-19 pandemic or any other such upcoming health crisis, and recent advances in advanced technologies (machine learning and artificial intelligence, etc.) are likely to fuel global CRO market in the coming years.

Indexed as

COVID-19Outsourced ServicesArtificial IntelligenceDrug DiscoveryDrug IndustryHumansPandemicsArtificial intelligencecontract research organizationsCOVID-19drug developmentoutsourcing

Identifiers

PMID36537406
PMCPMC9846916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.