Evidence map›Paper›PMID 24967360›Full record

ArticleBioMed research international2014

Enhanced oral bioavailability of efavirenz by solid lipid nanoparticles: in vitro drug release and pharmacokinetics studies.

Praveen Kumar Gaur, Shikha Mishra, Meenakshi Bajpai, Anushika Mishra

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 123 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

4 authors at 1 institution in 1 country.

Praveen Kumar GaurDepartment of Pharmaceutics, I.T.S. Paramedical College (Pharmacy), Muradnagar, Ghaziabad 201206, India.
Shikha MishraDepartment of Pharmacognosy & Phytochemistry, Jamia Hamdard, New Delhi 110062, India.
Meenakshi BajpaiDepartment of Pharmaceutics, I.T.S. Paramedical College (Pharmacy), Muradnagar, Ghaziabad 201206, India.
Anushika MishraDepartment of Pharmaceutics, I.T.S. Paramedical College (Pharmacy), Muradnagar, Ghaziabad 201206, India.
Jamia Hamdard · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid lipid nanoparticle is an efficient lipid based drug delivery system which can enhance the bioavailability of poorly water soluble drugs. Efavirenz is a highly lipophilic drug from nonnucleoside inhibitor category for treatment of HIV. Present work illustrates development of an SLN formulation for Efavirenz with increased bioavailability. At first, suitable lipid component and surfactant were chosen. SLNs were prepared and analyzed for physical parameters, stability, and pharmacokinetic profile. Efavirenz loaded SLNs were formulated using Glyceryl monostearate as main lipid and Tween 80 as surfactant. ESLN-3 has shown mean particle size of 124.5 ± 3.2 nm with a PDI value of 0.234, negative zeta potential, and 86% drug entrapment. In vitro drug release study has shown 60.6-98.22% drug release in 24 h by various SLN formulations. Optimized SLNs have shown good stability at 40°C ± 2°C and 75 ± 5% relative humidity (RH) for 180 days. ESLN-3 exhibited 5.32-fold increase in peak plasma concentration (C max) and 10.98-fold increase in AUC in comparison to Efavirenz suspension (ES).

Indexed as

Drug Delivery SystemsAlkynesBenzoxazinesBiological AvailabilityCyclopropanesCytochrome P-450 CYP2B6 InducersLipidsNanoparticlesAlkynesBenzoxazinesCyclopropanesCytochrome P-450 CYP2B6 InducersefavirenzLipids

Identifiers

PMID24967360
PMCPMC4055422
OpenAlexW2083067873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.