Evidence map›Paper›PMID 33568680›Full record

ArticleScientific reports2021

Towards an effective sensing technology to monitor micro-scale interface loosening of bioelectronic implants.

Marco P Soares Dos Santos, Rodrigo Bernardo, Luís Henriques, A Ramos, Jorge A F Ferreira, Edward P Furlani, A Torres Marques, José A O Simões

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Autonomous Implants.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The application of impantable sensors in the musculoskeletal system: a review.Frontiers in bioengineering and biotechnology · 2024
    Review
  14. Review
  15. Article
  16. Multifunctional Smart Bone Implants: Fiction or Future?-A New Perspective.Frontiers in bioengineering and biotechnology · 2022
    Article
  17. Article
  18. Review
  19. 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

8 authors.

Marco P Soares Dos SantosCentre for Mechanical Technology & Automation, TEMA, University of Aveiro, 3810-193, Aveiro, Portugal. marco.santos@ua.pt.
Rodrigo BernardoDepartment of Mechanical Engineering, University of Aveiro, 3810-193, Aveiro, Portugal.
Luís HenriquesDepartment of Mechanical Engineering, University of Aveiro, 3810-193, Aveiro, Portugal.
A RamosCentre for Mechanical Technology & Automation, TEMA, University of Aveiro, 3810-193, Aveiro, Portugal.
Jorge A F FerreiraCentre for Mechanical Technology & Automation, TEMA, University of Aveiro, 3810-193, Aveiro, Portugal.
Edward P FurlaniDepartment of Chemical and Biological Engineering, University at Buffalo, SUNY, Buffalo, NY, USA.
A Torres MarquesAssociated Laboratory for Energy, Transports and Aeronautics (LAETA), 4150-179, Porto, Portugal.
José A O SimõesCentre for Mechanical Technology & Automation, TEMA, University of Aveiro, 3810-193, Aveiro, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Instrumented implants are being developed with a radically innovative design to significantly reduce revision surgeries. Although bone replacements are among the most prevalent surgeries performed worldwide, implant failure rate usually surpasses 10%. High sophisticated multifunctional bioelectronic implants are being researched to incorporate cosurface capacitive architectures with ability to deliver personalized electric stimuli to peri-implant target tissues. However, the ability of these architectures to detect bone-implant interface states has never been explored. Moreover, although more than forty technologies were already proposed to detect implant loosening, none is able to ensure effective monitoring of the bone-implant debonding, mainly during the early stages of loosening. This work shows, for the first time, that cosurface capacitive sensors are a promising technology to provide an effective monitoring of bone-implant interfaces during the daily living of patients. Indeed, in vitro experimental tests and simulation with computational models highlight that both striped and circular capacitive architectures are able to detect micro-scale and macro-scale interface bonding, debonding or loosening, mainly when bonding is weakening or loosening is occurring. The proposed cosurface technologies hold potential to implement highly effective and personalized sensing systems such that the performance of multifunctional bioelectronic implants can be strongly improved. Findings were reported open a new research line on sensing technologies for bioelectronic implants, which may conduct to great impacts in the coming years.

Identifiers

PMID33568680
PMCPMC7876021

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Registered trials

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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.