Evidence map›Paper›PMID 31682039›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2020

Built-In Active Microneedle Patch with Enhanced Autonomous Drug Delivery.

Miguel Angel Lopez-Ramirez, Fernando Soto, Chao Wang, Ricardo Rueda, Sourabh Shukla, Cristian Silva-Lopez, Daniel Kupor, David A McBride, Jonathan K Pokorski, Amir Nourhani and 3 more

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

Article in Advanced materials (Deerfield Beach, Fla.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
10.9field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 260 citations in OpenAlex.

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17 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 1 country.

Miguel Angel Lopez-RamirezDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0003-3855-2866
Fernando SotoDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0001-8494-9325
Chao WangDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0003-2820-3646
Ricardo RuedaDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Sourabh ShuklaDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0001-9751-5833
Cristian Silva-LopezDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0001-9262-0976
Daniel KuporDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.
David A McBrideDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Jonathan K PokorskiDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0001-5869-6942
Amir NourhaniDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0002-7951-9483
Nicole F SteinmetzDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0002-0130-0481
Nisarg J ShahDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0003-1727-5732
Joseph WangDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0002-4921-9674
University of California San Diego · US

Funding

Dual-pronged nano-drug delivery using plant virus-like particles.R01CA224605 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Nicole Franziska Steinmetz · 2017 to 2026
$4.0M
Rheumatic Diseases Research Training GrantT32AR064194 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GARY S FIRESTEIN, Monica Guma · 2013 to 2026
$3.8M
Overcoming the immune-suppressive tumor microenvironment through in situ vaccination nanotechnology.U01CA218292 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIERING, STEVEN, STEINMETZ, NICOLE FRANZISKA · 2017 to 2021
$3.0M
American Cancer Society IRG-15-172-45Defense Threat Reduction Agency Joint Science and Technology Office for Chemical and Biological Defense HDTRA1-14-1-0064Defense Threat Reduction Agency Joint Science and Technology Office for Chemical and Biological Defense HDTRA1-18-1-0014Foundation for the National Institutes of Health R01CA224605NCI NIH HHS R01 CA224605NCI NIH HHS U01 CA218292NIAMS NIH HHS T32 AR064194NIH HHS R01CA224605UC MEXUS-CONACYT
6 · The paper itself

Abstract

The use of microneedles has facilitated the painless localized delivery of drugs across the skin. However, their efficacy has been limited by slow diffusion of molecules and often requires external triggers. Herein, an autonomous and degradable, active microneedle delivery platform is introduced, employing magnesium microparticles loaded within the microneedle patch, as the built-in engine for deeper and faster intradermal payload delivery. The magnesium particles react with the interstitial fluid, leading to an explosive-like rapid production of H

Indexed as

NeedlesAdministration, CutaneousAnimalsAntibodiesCTLA-4 AntigenDrug Delivery SystemsHumansImmunotherapyMelanoma, ExperimentalMice, Inbred C57BLMicroinjectionsAntibodiesCTLA-4 Antigen3D printingactive drug deliverymagnesium microparticlesmicromotorsmicroneedlestransdermal delivery

Identifiers

PMID31682039
PMCPMC7014935
OpenAlexW2987413771

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.