Evidence map›Paper›PMID 30563294›Full record

ArticlePharmaceutics2018

Formulation of Bioerodible Ketamine Microparticles as an Analgesic Adjuvant Treatment Produced by Supercritical Fluid Polymer Encapsulation.

Felicity Y Han, Andrew K Whittaker, Steven M Howdle, Andrew Naylor, Anjumn Shabir-Ahmed, Cheng Zhang, Maree T Smith

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 3 institutions in 2 countries.

Felicity Y HanSchool of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane QLD 4072, Australia. f.han@uq.edu.au.ORCID 0000-0001-7260-5832
Andrew K WhittakerAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane QLD 4072, Australia. a.whittaker@uq.edu.au.
Steven M HowdleSchool of Chemistry, University of Nottingham, Nottingham NG7 2RD, UK. Steve.Howdle@nottingham.ac.uk.
Andrew NaylorUpperton Limited, Biocity Nottingham, Nottingham NG7 2TN, UK. anaylor@upperton.com.
Anjumn Shabir-AhmedCritical Pharmaceuticals Ltd., BioCity Nottingham, Nottingham NG1 1GF, UK. anjumnshabir@yahoo.com.
Cheng ZhangAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane QLD 4072, Australia. c.zhang3@uq.edu.au.
Maree T SmithSchool of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane QLD 4072, Australia. maree.smith@uq.edu.au.ORCID 0000-0003-2281-3734
The University of Queensland · AUCritical Pharmaceuticals (United Kingdom) · GBUniversity of Nottingham · GB

Funding

Australian Research Council LE0775684, LE110100028, LE110100033, LE140100087, LE160100168National Health and Medical Research Council APP1107723
6 · The paper itself

Abstract

Pain is inadequately relieved by escalating doses of a strong opioid analgesic such as morphine in up to 25% of patients with cancer-related severe pain complicated by a neuropathic (nerve damage) component. Hence, there is an unmet medical need for research on novel painkiller strategies. In the present work, we used supercritical fluid polymer encapsulation to develop sustained-release poly(lactic-

Indexed as

analgesic adjuvantcancer paindrug deliveryketaminepoly(lactic-co-glycolic acid) (PLGA)sustained release

Identifiers

PMID30563294
PMCPMC6321204
OpenAlexW2902557660

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.