Evidence map›Paper›PMID 34196555›Full record

ArticleMolecular pharmaceutics2021

Encapsulation of Amikacin into Microparticles Based on Low-Molecular-Weight Poly(lactic acid) and Poly(lactic acid-

Marta Glinka, Katerina Filatova, Justyna Kucińska-Lipka, Eva Domincova Bergerova, Andrzej Wasik, Vladimir Sedlařík

Open access · hybridAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 14 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

6 authors at 2 institutions in 2 countries.

Marta GlinkaDepartment of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, G. Narutowicza 11/12, Gdańsk 80-233, Poland.ORCID 0000-0003-4392-0344
Katerina FilatovaCentre of Polymer Systems, University Institute, Tomas Bata University in Zlín, Tomáše Bati 5678, Zlín 76001, Czech Republic.
Justyna Kucińska-LipkaDepartment of Polymers Technology, Faculty of Chemistry, Gdańsk University of Technology, G. Narutowicza 11/12, Gdańsk 80-233, Poland.ORCID 0000-0001-8522-3198
Eva Domincova BergerovaCentre of Polymer Systems, University Institute, Tomas Bata University in Zlín, Tomáše Bati 5678, Zlín 76001, Czech Republic.
Andrzej WasikDepartment of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, G. Narutowicza 11/12, Gdańsk 80-233, Poland.ORCID 0000-0002-1758-3893
Vladimir SedlaříkCentre of Polymer Systems, University Institute, Tomas Bata University in Zlín, Tomáše Bati 5678, Zlín 76001, Czech Republic.
Gdańsk University of Technology · PLTomas Bata University in Zlín · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to fabricate novel microparticles (MPs) for efficient and long-term delivery of amikacin (AMI). The emulsification method proposed for encapsulating AMI employed low-molecular-weight poly(lactic acid) (PLA) and poly(lactic acid-

Indexed as

AmikacinAnti-Bacterial AgentsCapsulesDrug CarriersDrug CompoundingDrug LiberationEscherichia coliKlebsiella pneumoniaeLactatesMicrobial Sensitivity TestsMolecular WeightParticle SizePolyestersPolyethylene GlycolsPolyvinyl AlcoholPseudomonas aeruginosaAmikacinAnti-Bacterial AgentsCapsulesDrug CarriersLactatesPolyestersPolyethylene Glycolspoly(lactic acid-ethylene glycol)poly(lactide)Polyvinyl Alcoholamikacin encapsulationdrug delivery systemsmicroparticlespoly(lactic acid)targeted therapy

Identifiers

PMID34196555
PMCPMC8397404
OpenAlexW3176928654

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.