Evidence map›Paper›PMID 39008477›Full record

SynthesisPloS one2024

Mechanical rheological model on the assessment of elasticity and viscosity in tissue inflammation: A systematic review.

Jotham Josephat Kimondo, Ramadhan Rashid Said, Jun Wu, Chao Tian, Zhe Wu

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

5 authors.

Jotham Josephat KimondoSchool of life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0009-0000-7594-7969
Ramadhan Rashid SaidSchool of life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Jun WuSchool of Medical Imaging, North Sichuan Medical College, Nanchong, Sichuan, China.
Chao TianDepartment of Women's Health, Sichuan Cancer Hospital, Chengdu, China.
Zhe WuSchool of life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-3048-9615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the extent of inflammation is crucial for early disease detection, monitoring disease progression, and evaluating treatment responses. Over the past decade, researchers have demonstrated the need to understand the extent of inflammation through qualitative or quantitative characterization of tissue viscoelasticity using different techniques. In this scientific review, an examination of research on the association between elasticity and Viscosity in diseases, particularly as tissue inflammation progresses, is conducted. A review of utilizing mechanical rheological models to characterize quantitative viscoelastic parameters of normal and inflamed tissues is also undertaken. Based on inclusion and exclusion criteria, we identified 14 full-text studies suitable for review out of 290 articles published from January 2000 to January 2024. We used PRISMA guidelines for the systematic review. In the review, three studies demonstrated the criterion used by the researchers in identifying the best rheological model. Eleven studies showed the clinical application of the rheological model in quantifying the viscoelastic properties of normal and pathological tissue. The review quantified viscoelastic parameters for normal and pathological tissue across various soft tissues. It evaluated the effectiveness of each viscoelastic property in distinguishing between normal and pathological tissue stiffness. Furthermore, the review outlined additional viscoelastic-related parameters for researchers to consider in future stiffness classification studies.

Indexed as

ElasticityInflammationRheologyHumansModels, BiologicalViscosity

Identifiers

PMID39008477
PMCPMC11249233

What OpenQuestion holds

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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.