Evidence map›Paper›PMID 25580455›Full record

ArticleTheScientificWorldJournal2014

Development, characterization, and pharmacodynamic evaluation of hydrochlorothiazide loaded self-nanoemulsifying drug delivery systems.

Pankajkumar S Yadav, Ekta Yadav, Amita Verma, Saima Amin

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2014. 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
–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

7 citing papers in PubMed.

  1. Isolation, characterization, development and evaluation of phytoconstituent based formulation for diabetic neuropathy.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  2. Formulation andF1000Research · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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.

Pankajkumar S YadavDepartment of Pharmaceutical Sciences, Sam Higginbottom Institute of Agriculture, Technology & Sciences (SHIATS), Allahabad 211 007, India.
Ekta YadavDepartment of Pharmaceutical Sciences, Sam Higginbottom Institute of Agriculture, Technology & Sciences (SHIATS), Allahabad 211 007, India.
Amita VermaDepartment of Pharmaceutical Sciences, Sam Higginbottom Institute of Agriculture, Technology & Sciences (SHIATS), Allahabad 211 007, India.
Saima AminDepartment of Pharmaceutics, Faculty of Pharmacy, Hamdard University, New Delhi 110 062, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the current work was to develop optimized self-nanoemulsifying drug delivery systems (SNEDDS) and evaluate their in vitro and in vivo performance. The research comprised various studies which includes solubility studies in various vehicles, pseudoternary phase diagram construction, and preparation and characterization of SNEDDS along with in vitro dissolution and in vivo pharmacodynamic profiling. Based on dissolution profile, a remarkable increase in rate of dissolution was observed in comparison with plain drug and marketed formulation. Optimized SNEDDS formulation was composed of Capmul MCM (19.17% w/w), Tween 80 (57.5% w/w), Transcutol P (12.7% w/w), and HCT (4.17% w/w). In vivo pharmacodynamic evaluation in Wistar rats showed considerable increase in pharmacological effect of HCT by SNEDDS formulation as compared with plain HCT.

Indexed as

Biological AvailabilityDrug Delivery SystemsAdministration, OralAnimalsDrug StabilityEmulsionsHumansHydrochlorothiazideHypertensionNanoparticlesRatsEmulsionsHydrochlorothiazide

Identifiers

PMID25580455
PMCPMC4280499

What OpenQuestion holds

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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.