Evidence map›Paper›PMID 36530548›Full record

ArticleJournal of drug delivery science and technology2023

Development of favipiravir loaded PLGA nanoparticles entrapped in in-situ gel for treatment of Covid-19 via nasal route.

Vaishnavi Gattani, Shilpa Dawre

Open access · greenAbstract read
In one paragraph

Article in Journal of drug delivery science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 32 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Vaishnavi GattaniDepartment of Pharmaceutics, School of Pharmacy & Technology Management, SVKMS, NMIMS, Babulde Banks of Tapi River, MPTP Park, Mumbai-Agra Road, Shirpur, Maharashtra, 425405, India.
Shilpa DawreDepartment of Pharmaceutics, School of Pharmacy & Technology Management, SVKMS, NMIMS, Babulde Banks of Tapi River, MPTP Park, Mumbai-Agra Road, Shirpur, Maharashtra, 425405, India.
Narsee Monjee Institute of Management Studies · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2019 the emergence of SARS-COV-2 caused pandemic situation worldwide and claimed ∼6.4 M lives (WHO 2022). Favipiravir (FAV) is recommended as a therapy for Covid-19 which belongs to BCS class III with a short half-life of 2-5.5h. Thus, the objective of current study was the development of favipiravir loaded PLGA nanoparticles (NPs) by box-behnken design. Moreover, these NPs were entrapped in thermosensitive gel to increase the permeation through nasal route. The nanoparticles exhibit particle size of 175.6 ± 2 nm with >70 ± 0.5 %EE. NPs showed PDI (0.130) and zeta potential (-17.1 mV) suggesting homogeneity and stability of NPs. DSC, XRD, and FTIR studies concluded absence of any interaction of FAV and the excipients. SEM and AFM studies demonstrated spherical morphology of NPs with smooth surface. The NPs entrapped in-situ gel showed clarity and pH 5.5-6.1. The gelation temperature of NPs dispersed in-situ gel was found in the range of 35 °C -37 °C. The gel has viscosity in range of 34592-4568 cps. The texture analysis profile of gel showed good gelling properties. Dissolution study suggested a sustained release of FAV from NPs (24h) and NPs dispersed gel (32h) as compared to FAV solution (4h). The gel showed good mucoadhesion properties (9373.9 dyne/cm

Indexed as

Box-behnken designFavipiravirMucoadhesionNasal ex vivo permeationPLGA NanoparticlesThermoreversible in-situ gel

Identifiers

PMID36530548
PMCPMC9745979
OpenAlexW4311344236

What OpenQuestion holds

Textmetadata
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.