Evidence map›Paper›PMID 40760754›Full record

ArticleRecent advances in drug delivery and formulation2026

Navigating Regulatory Complexities in Biosimilar Approvals and Imports for Autoimmune Disorder Management: A Comparative Analysis of FDA (US), EMA (EU), and CDSCO (India) Guidelines.

S John Gerard, Vasukidevi Ramachandran

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Recent advances in drug delivery and formulation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

S John GerardDepartment of Microbiology and Biotechnology, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, 600073, India.ORCID 0009-0000-2107-0081
Vasukidevi RamachandranDepartment of Microbiology and Biotechnology, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, 600073, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosimilars offer cost-effective alternatives for autoimmune disorder treatment. However, India's stringent regulatory barriers, including mandatory local trials, unclear interchangeability guidelines, and strict pricing controls, hinder market access. This study conducts a comparative analysis of the FDA (US), EMA (EU), and CDSCO (India) regulatory frameworks, highlighting key differences in approval pathways, post-marketing surveillance, and import regulations. Unlike previous studies, this paper employs a structured SWOT analysis to assess the impact of India's regulatory landscape on biosimilar accessibility. The findings reveal that India's local clinical trial mandates and complex approval processes hinder biosimilar adoption despite prior FDA or EMA approvals. Additionally, the absence of interchangeability guidelines discourages physician confidence, while stringent pricing policies under the Drug Price Control Order (DPCO) reduce manufacturer incentives. To improve biosimilar market penetration, India must streamline regulatory approvals, harmonize clinical trial requirements with international standards, and establish clear interchangeability guidelines. These reforms are essential to enhance the affordability and accessibility of biosimilars in the management of autoimmune disorders.

Indexed as

Autoimmune DiseasesBiosimilar PharmaceuticalsDrug ApprovalGuidelines as TopicHumansIndiaUnited StatesUnited States Food and Drug AdministrationBiosimilar Pharmaceuticalsapproval processautoimmune disordersbiologicsBiosimilarscentral drugs standard control organizationclinical trialseuropean medicines agencyfood and drug administrationimportationinterchangeabilityregulatory challenges

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Registered trials

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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.