Evidence map›Paper›PMID 34939170›Full record

ArticleDrug delivery and translational research2022

Nanoemulsion-based dissolving microneedle arrays for enhanced intradermal and transdermal delivery.

Muhammad Iqbal Nasiri, Lalitkumar K Vora, Juhaina Abu Ershaid, Ke Peng, Ismaiel A Tekko, Ryan F Donnelly

Open access · hybridAbstract read
In one paragraph

Article in Drug delivery and translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.6field-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

29 citing papers in PubMed, 77 citations in OpenAlex.

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  16. Recreating Human Skin In Vitro: Should the Microbiota Be Taken into Account?International journal of molecular sciences · 2024
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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 1 institution in 2 countries.

Muhammad Iqbal Nasiri *School of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK.
Lalitkumar K Vora *School of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK.
Juhaina Abu ErshaidSchool of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK.
Ke PengSchool of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK.
Ismaiel A TekkoSchool of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK.
Ryan F DonnellySchool of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK. r.donnelly@qub.ac.uk.ORCID 0000-0002-0766-4147
Queen's University Belfast · GB

Funding

Wellcome Trust WT094085MA
6 · The paper itself

Abstract

The development of dissolving microneedles (DMN) is one of the advanced technologies in transdermal drug delivery systems, which precisely deliver the drugs through a rapid dissolution of polymers after insertion into the skin. In this study, we fabricated nanoemulsion-loaded dissolving microneedle (DMN) arrays for intradermal and transdermal drug delivery. For this task, model drug (amphotericin B, AmB)-loaded nanoemulsion (NE) were prepared by the probe-sonication method. AmB-loaded-NE was prepared using Capmul MCM C-8 EP/NF, Tween

Indexed as

Drug Delivery SystemsSkin AbsorptionAdministration, CutaneousAmphotericin BAnimalsNeedlesPharmaceutical PreparationsSkinSwineAmphotericin BPharmaceutical PreparationsAmphotericin BDissolving-microneedlesNanoemulsionSynergistic effectTransdermal delivery

Identifiers

PMID34939170
PMCPMC8694761
OpenAlexW4200443437

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.