Evidence map›Paper›PMID 34262241›Full record

ArticleAdvanced powder technology : the international journal of the Society of Powder Technology, Japan2021

Impact of hydrophilic binders on stability of lipid-based sustained release matrices of quetiapine fumarate by the continuous twin screw melt granulation technique.

Dinesh Nyavanandi, Venkata Raman Kallakunta, Sandeep Sarabu, Arun Butreddy, Sagar Narala, Suresh Bandari, Michael A Repka

Open access · greenAbstract read
In one paragraph

Article in Advanced powder technology : the international journal of the Society of Powder Technology, Japan, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. "One-Pot" CuClMolecules (Basel, Switzerland) · 2022
    Article
  4. 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

7 authors at 1 institution in 1 country.

Dinesh NyavanandiDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
Venkata Raman KallakuntaDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
Sandeep SarabuDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
Arun ButreddyDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
Sagar NaralaDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
Suresh BandariDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
Michael A RepkaDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.
University of Mississippi · US

Funding

Pilot Project ProgramP30GM122733 · NIGMS · UNIVERSITY OF MISSISSIPPI · PI WILLETT, KRISTINE L · 2018 to 2022
$5.3M
NIGMS NIH HHS P30 GM122733
6 · The paper itself

Abstract

Dose dumping is the major drawback of sustained release (SR) matrices. The current research aimed to develop the stable lipid-based SR matrices of quetiapine fumarate (QTF) using Geleol™ (glyceryl monostearate; GMS) as the lipid matrix carrier and Klucel™ EF (HPC EF), Kollidon

Indexed as

dose dumpingphase separationstabilitySustained releasetwin screw melt granulation

Identifiers

PMID34262241
PMCPMC8274555
OpenAlexW3166056832

What OpenQuestion holds

Textmetadata
LicenceTDM
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.