Evidence map›Paper›PMID 34930385›Full record

ArticleJournal of biological engineering2021

Fetal ischemia monitoring with in vivo implanted electrochemical multiparametric microsensors.

Samuel Dulay, Lourdes Rivas, Laura Pla, Sergio Berdún, Elisenda Eixarch, Eduard Gratacós, Miriam Illa, Mònica Mir, Josep Samitier

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2021. 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
0.7field-weighted citation impact, top 25% 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, 2 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

9 authors at 3 institutions in 1 country.

Samuel Dulay *Nanobioengineering group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028, Barcelona, Spain.
Lourdes Rivas *Nanobioengineering group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028, Barcelona, Spain.
Laura PlaFetal Medicine Research Center, BCNatal. Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, Building Helios 2, Sabino Arana Street 1, 08028, Barcelona, Spain.
Sergio BerdúnFetal Medicine Research Center, BCNatal. Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, Building Helios 2, Sabino Arana Street 1, 08028, Barcelona, Spain.
Elisenda EixarchFetal Medicine Research Center, BCNatal. Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, Building Helios 2, Sabino Arana Street 1, 08028, Barcelona, Spain.
Eduard GratacósFetal Medicine Research Center, BCNatal. Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, Building Helios 2, Sabino Arana Street 1, 08028, Barcelona, Spain.
Miriam IllaFetal Medicine Research Center, BCNatal. Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, Building Helios 2, Sabino Arana Street 1, 08028, Barcelona, Spain.
Mònica Mir *Nanobioengineering group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028, Barcelona, Spain. mmir@ibecbarcelona.eu.ORCID http://orcid.org/0000-0002-1490-8373
Josep Samitier *Nanobioengineering group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028, Barcelona, Spain.
Hospital Sant Joan de Déu Barcelona · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESInstitute for Bioengineering of Catalonia · ES

Funding

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CB06/01/0055Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya 2017 SGR 1531H2020 Marie Skłodowska-Curie Actions 712754Spanish Ministry of Science and Competitiveness SEV-2014-0425
6 · The paper itself

Abstract

Under intrauterine growth restriction (IUGR), abnormal attainment of the nutrients and oxygen by the fetus restricts the normal evolution of the prenatal causing in many cases high morbidity being one of the top-ten causes of neonatal death. The current gold standards in hospitals to detect this relevant problem is the clinical observation by echography, cardiotocography and Doppler. These qualitative techniques are not conclusive and requires risky invasive fetal scalp blood testing and/or amniocentesis. We developed micro-implantable multiparametric electrochemical sensors for measuring ischemia in real time in fetal tissue and vascular. This implantable technology is designed to continuous monitoring for an early detection of ischemia to avoid potential fetal injury. Two miniaturized electrochemical sensors were developed based on oxygen and pH detection. The sensors were optimized in vitro under controlled concentration, to assess the selectivity and sensitivity required. The sensors were then validated in vivo in the ewe fetus model, by means of their insertion in the muscle leg and inside the iliac artery of the fetus. Ischemia was achieved by gradually obstructing the umbilical cord to regulate the amount of blood reaching the fetus. An important challenge in fetal monitoring is the detection of low levels of oxygen and pH changes under ischemic conditions, requiring high sensitivity sensors. Significant differences were observed in both; pH and pO

Indexed as

Electrochemical biosensorImplantable sensorIn vivo validationIschemia detectionpH and oxygen detectionTissue and vascular monitoring

Identifiers

PMID34930385
PMCPMC8691007
OpenAlexW4200479375

What OpenQuestion holds

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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.