Evidence map›Paper›PMID 36624330›Full record

ReviewWIREs mechanisms of disease2023

Perspectives on optimizing local delivery of drugs to peripheral nerves using mathematical models.

Simao Laranjeira, Victoria H Roberton, James B Phillips, Rebecca J Shipley

Open access · hybridAbstract readReview
In one paragraph

Review in WIREs mechanisms of disease, 2023. 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
0.4field-weighted citation impact, top 44% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

4 authors at 1 institution in 1 country.

Simao LaranjeiraUCL Mechanical Engineering, UCL Centre for Nerve Engineering, London, London, UK.ORCID 0000-0002-8140-6947
Victoria H RobertonUCL School of Pharmacy, UCL Centre for Nerve Engineering, London, London, UK.ORCID 0000-0002-0404-6984
James B PhillipsUCL School of Pharmacy, UCL Centre for Nerve Engineering, London, London, UK.ORCID 0000-0001-8117-3074
Rebecca J ShipleyUCL Mechanical Engineering, UCL Centre for Nerve Engineering, London, London, UK.ORCID 0000-0002-2818-6228
Nerve Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug therapies for treating peripheral nerve injury repair have shown significant promise in preclinical studies. Despite this, drug treatments are not used routinely clinically to treat patients with peripheral nerve injuries. Drugs delivered systemically are often associated with adverse effects to other tissues and organs; it remains challenging to predict the effective concentration needed at an injured nerve and the appropriate delivery strategy. Local drug delivery approaches are being developed to mitigate this, for example via injections or biomaterial-mediated release. We propose the integration of mathematical modeling into the development of local drug delivery protocols for peripheral nerve injury repair. Mathematical models have the potential to inform understanding of the different transport mechanisms at play, as well as quantitative predictions around the efficacy of individual local delivery protocols. We discuss existing approaches in the literature, including drawing from other research fields, and present a process for taking forward an integrated mathematical-experimental approach to accelerate local drug delivery approaches for peripheral nerve injury repair. This article is categorized under: Neurological Diseases > Molecular and Cellular Physiology Neurological Diseases > Computational Models Neurological Diseases > Biomedical Engineering.

Indexed as

Peripheral Nerve InjuriesDrug Delivery SystemsHumansModels, TheoreticalPeripheral NervesPharmaceutical PreparationsPharmaceutical Preparationslocal drug deliverymathematical modellingmultidisciplinary approachperipheral nerve repair

Identifiers

PMID36624330
PMCPMC10909486
OpenAlexW4315436259

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.