Evidence map›Paper›PMID 37106621›Full record

ArticleBioengineering (Basel, Switzerland)2023

Real-Time Monitoring Using Multiplexed Multi-Electrode Bioelectrical Impedance Spectroscopy for the Stratification of Vascularized Composite Allografts: A Perspective on Predictive Analytics.

John R Aggas, Sara Abasi, Carolyn Ton, Sara Salehi, Renee Liu, Gerald Brandacher, Warren L Grayson, Anthony Guiseppi-Elie

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Review
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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.

John R AggasBioelectronics, Biosensors and Biochips (C3B®), Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-6602-0691
Sara AbasiBioelectronics, Biosensors and Biochips (C3B®), Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Carolyn TonDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21231, USA.
Sara SalehiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21231, USA.
Renee LiuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21231, USA.
Gerald BrandacherTranslational Tissue Engineering Center, Johns Hopkins University, Baltimore, MD 21231, USA.ORCID 0000-0001-7790-441X
Warren L GraysonDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21231, USA.
Anthony Guiseppi-ElieBioelectronics, Biosensors and Biochips (C3B®), Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-3218-9285

Funding

Congressionally Directed Medical Research Programs W81XWH-17-1-0630Texas A&M Engineering Experiment Station (TEES) TEES-246413
6 · The paper itself

Abstract

Vascularized composite allotransplantation addresses injuries to complex anatomical structures such as the face, hand, and abdominal wall. Prolonged static cold storage of vascularized composite allografts (VCA) incurs damage and imposes transportation limits to their viability and availability. Tissue ischemia, the major clinical indication, is strongly correlated with negative transplantation outcomes. Machine perfusion and normothermia can extend preservation times. This perspective introduces multiplexed multi-electrode bioimpedance spectroscopy (MMBIS), an established bioanalytical method to quantify the interaction of the electrical current with tissue components, capable of measuring tissue edema, as a quantitative, noninvasive, real-time, continuous monitoring technique to provide crucially needed assessment of graft preservation efficacy and viability. MMBIS must be developed, and appropriate models explored to address the highly complex multi-tissue structures and time-temperature changes of VCA. Combined with artificial intelligence (AI), MMBIS can serve to stratify allografts for improvement in transplantation outcomes.

Indexed as

bioimpedanceedemastratificationtransplantationvascularized composite tissue allografts

Identifiers

PMID37106621
PMCPMC10135882

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.