Evidence map›Paper›PMID 42396058›Full record

ArticleACS omega2026

Impact of Using Blended Polymers on the Structural and Functional Attributes of Eptifibatide-Loaded Microspheres.

Anand U Kyatanwar, Bala R Prabhakar

Abstract read
In one paragraph

Article in ACS omega, 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
0cells of the map it votes in
0citing 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

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.

Anand U KyatanwarR&D Center, Bharat Serums and Vaccines Ltd., Third Floor, Liberty Tower, Airoli MIDC, Navi-Mumbai 400708, Maharashtra, India.ORCID https://orcid.org/0000-0002-8274-5107
Bala R PrabhakarSVKM's NMIMS Deemed to be University, Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, Mumbai, Vaikunthlal Mehta Road, Vile Parle West, Mumbai 400056, Maharashtra, India.ORCID https://orcid.org/0000-0001-7356-4649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The saturation of generics has shifted the focus on developing technology-based delivery systems, not only for small molecules but also for proteins and peptides. Proteins and peptides require novel delivery systems as conventional delivery systems are of not much use. Biodegradable polymer-based microspheres have received considerable interest for the controlled delivery of many therapeutic proteins and peptides. Despite being known for many years, developing biodegradable polymer-based microspheres has remained a challenge. Among many challenges, selecting an appropriate grade of polymer is crucial. A right grade of polymer is required to achieve the desired physicochemical properties and mainly the release of the drug from the formulated microspheres. However, because of the limited number of companies supplying GMP-grade polymers, polymer selection has become a daunting task. The cost of these polymers is very high, and when a suitable grade of polymer is unavailable, customization is required, which further increases the cost. To address this critical issue, this research focused on comparing Eptifibatide-loaded microspheres formulated using blending polymers vs those formulated using original/on shelf polymers. Polymers R202H and RG502H were physically blended in different ratios to obtain blended polymers with different comonomer ratios. Specifically, polymers with closer IV values were used in this study. The microspheres formulated using blended polymers were compared with those formulated using original/on-shelf polymers, and both sets demonstrated identical performance.

Identifiers

PMID42396058
PMCPMC13325376

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LicenceCC BY-NC-ND
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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.