Evidence map›Paper›PMID 32397771›Full record

ArticleDrug delivery2020

Design and optimization of candesartan loaded self-nanoemulsifying drug delivery system for improving its dissolution rate and pharmacodynamic potential.

Ravinder Verma, Deepak Kaushik

Abstract read
In one paragraph

Article in Drug delivery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. Design and characterization of propolis extract loaded self-nano emulsifying drug delivery system as immunostimulant.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
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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.

Ravinder VermaDepartment of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India.
Deepak KaushikDepartment of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last decades, much attention has been focused on SNEDDS approach to resolve concerns of BCS II class drugs with accentuation on upgrading the solubility and bioavailability. The present hypothesis confirms the theory that SNEDDS can reduce the impact of food on Candesartan solubilization, thereby offering the potential for improved oral delivery without co-administration with meals. The present studies describe quality-by-design-based development and characterization of Candesartan loaded SNEDDS for improving its pharmacodynamic potential. D-optimal mixture design was used for systematic optimization of SNEDDS, which showed globule size of 13.91 nm, more rapid drug release rate of >90% in 30 min and 16 s for self-emulsification. The optimized formulations were extensively evaluated, where an

Indexed as

Drug DesignAngiotensin II Type 1 Receptor BlockersAnimalsBenzimidazolesBiological AvailabilityBiphenyl CompoundsBlood PressureDose-Response Relationship, DrugDrug CarriersDrug Delivery SystemsDrug LiberationDrug StabilityEmulsionsExcipientsFood-Drug InteractionsMaleAngiotensin II Type 1 Receptor BlockersBenzimidazolesBiphenyl CompoundscandesartanDrug CarriersEmulsionsExcipientsTetrazolesCandesartanD-optimal mixture designfood-effectin vitro lipolysispharmacodynamic studySNEDDS

Identifiers

PMID32397771
PMCPMC7269045

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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.