Evidence map›Paper›PMID 33353028›Full record

ArticleBiomedicines2020

Increased Encapsulation Efficiency of Methotrexate in Liposomes for Rheumatoid Arthritis Therapy.

Diana Guimarães, Jennifer Noro, Ana Loureiro, Franck Lager, Gilles Renault, Artur Cavaco-Paulo, Eugénia Nogueira

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 52 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

7 authors at 2 institutions in 2 countries.

Diana GuimarãesCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Jennifer NoroCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Ana LoureiroCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Franck LagerINSERM-Institut National de la Santé et de la Recherche Médicale, U1016, Institut Cochin, 75014 Paris, France.
Gilles RenaultINSERM-Institut National de la Santé et de la Recherche Médicale, U1016, Institut Cochin, 75014 Paris, France.
Artur Cavaco-PauloCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0001-7204-2064
Eugénia NogueiraCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
University of Minho · PTInserm · FR

Funding

BioTecNorte NORTE-01-0145-FEDER-000004Fundação para a Ciência e a Tecnologia SFRH/BD/121673/2016Fundação para a Ciência e a Tecnologia SFRH/BD/140321/2018Fundação para a Ciência e a Tecnologia UIDB/04469/2020Horizon 2020 Framework Programme NMP-06-2015-683356 FOLSMART
6 · The paper itself

Abstract

Methotrexate (MTX) is a common drug used to treat rheumatoid arthritis. Due to the excessive side effects, encapsulation of MTX in liposomes is considered an effective delivery system, reducing drug toxicity, while maintaining its efficacy. The ethanol injection method is an interesting technique for liposome production, due to its simplicity, fast implementation, and reproducibility. However, this method occasionally requires the extrusion process, to obtain suitable size distribution, and achieve a low level of MTX encapsulation. Here, we develop a novel pre-concentration method, based on the principles of the ethanol injection, using an initial aqueous volume of 20% and 1:1 ratio of organic:aqueous phase (

Indexed as

encapsulationliposomesmethotrexatepre-concentration ethanol injection methodrheumatoid arthritis

Identifiers

PMID33353028
PMCPMC7766404
OpenAlexW3111795434

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.