Evidence map›Paper›PMID 29756600›Full record

ArticleJournal of neural engineering2018

The development of neural stimulators: a review of preclinical safety and efficacy studies.

Robert K Shepherd, Joel Villalobos, Owen Burns, David A X Nayagam

Abstract read
In one paragraph

Article in Journal of neural engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A surgical and functional approach to the pelvic gross neuroanatomy of the female Yucatan minipig.Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft · 2025
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  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Characterization of a Temporary Peripheral Nerve Stimulation Electrode Utilizing a Bioabsorbable Suture Substrate.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022
    Article
  18. Article
  19. Article
  20. Stretchable, Fully Polymeric Electrode Arrays for Peripheral Nerve Stimulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
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.

Robert K ShepherdBionics Institute, East Melbourne, Australia.ORCID 0000-0002-4239-3362
Joel VillalobosBionics Institute, East Melbourne, Australia.
Owen BurnsBionics Institute, East Melbourne, Australia.
David A X NayagamBionics Institute, East Melbourne, Australia.ORCID 0000-0002-4380-6640

Funding

Establishing the maximum safe stimulation parameters for platinum cochlear implant electrode arrays.R01DC015031 · NIDCD · UNIVERSITY OF MELBOURNE · PI SHEPHERD, ROBERT K · 2016 to 2018
$1.3M
NIDCD NIH HHS R01 DC015031
6 · The paper itself

Abstract

objectiveGiven the rapid expansion of the field of neural stimulation and the rigorous regulatory approval requirements required before these devices can be applied clinically, it is important that there is clarity around conducting preclinical safety and efficacy studies required for the development of this technology. APPROACH: The present review examines basic design principles associated with the development of a safe neural stimulator and describes the suite of preclinical safety studies that need to be considered when taking a device to clinical trial. MAIN

resultsNeural stimulators are active implantable devices that provide therapeutic intervention, sensory feedback or improved motor control via electrical stimulation of neural or neuro-muscular tissue in response to trauma or disease. Because of their complexity, regulatory bodies classify these devices in the highest risk category (Class III), and they are therefore required to go through a rigorous regulatory approval process before progressing to market. The successful development of these devices is achieved through close collaboration across disciplines including engineers, scientists and a surgical/clinical team, and the adherence to clear design principles. Preclinical studies form one of several key components in the development pathway from concept to product release of neural stimulators. Importantly, these studies provide iterative feedback in order to optimise the final design of the device. Key components of any preclinical evaluation include: in vitro studies that are focussed on device reliability and include accelerated testing under highly controlled environments; in vivo studies using animal models of the disease or injury in order to assess efficacy and, given an appropriate animal model, the safety of the technology under both passive and electrically active conditions; and human cadaver and ex vivo studies designed to ensure the device's form factor conforms to human anatomy, to optimise the surgical approach and to develop any specialist surgical tooling required. SIGNIFICANCE: The pipeline from concept to commercialisation of these devices is long and expensive; careful attention to both device design and its preclinical evaluation will have significant impact on the duration and cost associated with taking a device through to commercialisation. Carefully controlled in vitro and in vivo studies together with ex vivo and human cadaver trials are key components of a thorough preclinical evaluation of any new neural stimulator.

Indexed as

Implantable NeurostimulatorsAnimalsDeep Brain StimulationEquipment DesignHumansNervous System DiseasesTreatment Outcome

Identifiers

PMID29756600
PMCPMC6049833

What OpenQuestion holds

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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.