Evidence map›Paper›PMID 35322587›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Predicting Cardiovascular Stent Complications Using Self-Reporting Biosensors for Noninvasive Detection of Disease.

Daniel Hoare, Andreas Tsiamis, Jamie R K Marland, Jakub Czyzewski, Mahmut T Kirimi, Michael Holsgrove, Ewan Russell, Steven L Neale, Nosrat Mirzai, Srinjoy Mitra and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Detection of Blood Clots Using a Whole Stent as an Active Implantable Biosensor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. A Review of Recent Advancements in Sensor-Integrated Medical Tools.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. 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

11 authors at 4 institutions in 2 countries.

Daniel HoareInstitute of Cardiovascular and Medical Sciences/British Heart Foundation, University of Glasgow, Glasgow, UK.
Andreas TsiamisSchool of Engineering, Institute for Integrated Micro and Nano Systems, University of Edinburgh, Edinburgh, UK.
Jamie R K MarlandSchool of Engineering, Institute for Integrated Micro and Nano Systems, University of Edinburgh, Edinburgh, UK.
Jakub CzyzewskiBioElectronics Unit, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Mahmut T KirimiCentre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, Glasgow, UK.
Michael HolsgroveBioElectronics Unit, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Ewan RussellCentre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, Glasgow, UK.
Steven L NealeCentre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, Glasgow, UK.
Nosrat MirzaiBioElectronics Unit, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Srinjoy MitraSchool of Engineering, Institute for Integrated Micro and Nano Systems, University of Edinburgh, Edinburgh, UK.
John R MercerInstitute of Cardiovascular and Medical Sciences/British Heart Foundation, University of Glasgow, Glasgow, UK.ORCID 0000-0002-3204-7511
BioElectronics (United States) · USFraunhofer Centre for Applied Photonics · GBNational Microelectronics Institute · GBBritish Heart Foundation · GB

Funding

Chief Scientist Office CGA/17/29
6 · The paper itself

Abstract

Self-reporting implantable medical devices are the future of cardiovascular healthcare. Cardiovascular complications such as blocked arteries that lead to the majority of heart attacks and strokes are frequently treated with inert metal stents that reopen affected vessels. Stents frequently re-block after deployment due to a wound response called in-stent restenosis (ISR). Herein, an implantable miniaturized sensor and telemetry system are developed that can detect this process, discern the different cell types associated with ISR, distinguish sub plaque components as demonstrated with ex vivo samples, and differentiate blood from blood clot, all on a silicon substrate making it suitable for integration onto a vascular stent. This work shows that microfabricated sensors can provide clinically relevant information in settings closer to physiological conditions than previous work with cultured cells.

Indexed as

Biosensing TechniquesCoronary RestenosisMyocardial InfarctionPlaque, AtheroscleroticHumansStentsblood clotcardiovascular diseaserestenosisstentwireless impedance sensor

Identifiers

PMID35322587
PMCPMC9130883
OpenAlexW4221043758

What Socratic 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 Socratic graph.