Evidence map›Paper›PMID 38449676›Full record

ReviewFrontiers in bioengineering and biotechnology2024

Resorbable conductive materials for optimally interfacing medical devices with the living.

Marta Sacchi, Fabien Sauter-Starace, Pascal Mailley, Isabelle Texier

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Bioresorbable electrodes in implantable electronic healthcare devices.Frontiers in bioengineering and biotechnology · 2025
    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.

Marta SacchiUniversité Grenoble Alpes, CEA, LETI-DTIS (Département des Technologies pour l'Innovation en Santé), Grenoble, France.
Fabien Sauter-StaraceUniversité Grenoble Alpes, CEA, LETI-DTIS (Département des Technologies pour l'Innovation en Santé), Grenoble, France.
Pascal MailleyUniversité Grenoble Alpes, CEA, LETI-DTIS (Département des Technologies pour l'Innovation en Santé), Grenoble, France.
Isabelle TexierUniversité Grenoble Alpes, CEA, LETI-DTIS (Département des Technologies pour l'Innovation en Santé), Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implantable and wearable bioelectronic systems are arising growing interest in the medical field. Linking the microelectronic (electronic conductivity) and biological (ionic conductivity) worlds, the biocompatible conductive materials at the electrode/tissue interface are key components in these systems. We herein focus more particularly on resorbable bioelectronic systems, which can safely degrade in the biological environment once they have completed their purpose, namely, stimulating or sensing biological activity in the tissues. Resorbable conductive materials are also explored in the fields of tissue engineering and 3D cell culture. After a short description of polymer-based substrates and scaffolds, and resorbable electrical conductors, we review how they can be combined to design resorbable conductive materials. Although these materials are still emerging, various medical and biomedical applications are already taking shape that can profoundly modify post-operative and wound healing follow-up. Future challenges and perspectives in the field are proposed.

Indexed as

bioelectronicsbiopolymerconducting polymersconductiveimplanted sensorsresorbabletissue engineeringwearable sensors

Identifiers

PMID38449676
PMCPMC10916519

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.