Evidence map›Paper›PMID 37765237›Full record

ArticlePharmaceutics2023

Twin Screw Melt Granulation: A Single Step Approach for Developing Self-Emulsifying Drug Delivery System for Lipophilic Drugs.

Dinesh Nyavanandi, Preethi Mandati, Sagar Narala, Abdullah Alzahrani, Praveen Kolimi, Sateesh Kumar Vemula, Michael A Repka

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Unveiling the Cytotoxicity Potential of Nanoemulsion ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
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  3. Article
  4. Article
  5. Review
  6. Sodium Starch Glycolate (SSG) from Sago Starch (Molecules (Basel, Switzerland) · 2023
    Review
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

7 authors at 1 institution in 1 country.

Dinesh NyavanandiDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.ORCID 0000-0002-3271-5006
Preethi MandatiDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.
Sagar NaralaDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.
Abdullah AlzahraniDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.
Praveen KolimiDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.
Sateesh Kumar VemulaDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.ORCID 0000-0001-9860-0976
Michael A RepkaDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, Oxford, MS 38677, USA.ORCID 0000-0003-2049-4696
University of Mississippi · US

Funding

Pilot Project ProgramP30GM122733 · NIGMS · UNIVERSITY OF MISSISSIPPI · PI MAJUMDAR, SOUMYAJIT · 2018 to 2022
$5.3M
NIGMS NIH HHS P30 GM122733NIGMS NIH HHS P30GM122733-01A1
6 · The paper itself

Abstract

The current research aims to improve the solubility of the poorly soluble drug, i.e., ibuprofen, by developing self-emulsifying drug delivery systems (SEDDS) utilizing a twin screw melt granulation (TSMG) approach. Gelucire

Indexed as

globule sizeliquid SEDDSpolydispersity indexself-emulsifying drug delivery systemsolid SEDDStwin screw melt granulation

Identifiers

PMID37765237
PMCPMC10534719
OpenAlexW4386372441

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.