Evidence map›Paper›PMID 35049735›Full record

ReviewBioengineering (Basel, Switzerland)2022

A Review on Damage and Rupture Modelling for Soft Tissues.

Sai Naga Sri Harsha Chittajallu, Ashutosh Richhariya, Kwong Ming Tse, Viswanath Chinthapenta

Open access · goldAbstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

7 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

4 authors at 3 institutions in 2 countries.

Sai Naga Sri Harsha ChittajalluMicro Mmechanics Lab, Department of Mechanical and Aerospace Engineering, Indian Institute of Technology Hyderabad, Kandi 502284, India.ORCID 0000-0002-6947-5122
Ashutosh RichhariyaCentre for Technology Innovation, L V Prasad Eye Institute, Hyderabad 500032, India.
Kwong Ming TseDepartment of Mechanical and Product Design Engineering, Swinburne University of Technology, Melbourne 3122, Australia.ORCID 0000-0002-8170-0775
Viswanath ChinthapentaMicro Mmechanics Lab, Department of Mechanical and Aerospace Engineering, Indian Institute of Technology Hyderabad, Kandi 502284, India.ORCID 0000-0001-9038-6274
L V Prasad Eye Institute · INIndian Institute of Technology Hyderabad · INSwinburne University of Technology · AU

Funding

L V Prasad Eye Institute Intramural
6 · The paper itself

Abstract

Computational modelling of damage and rupture of non-connective and connective soft tissues due to pathological and supra-physiological mechanisms is vital in the fundamental understanding of failures. Recent advancements in soft tissue damage models play an essential role in developing artificial tissues, medical devices/implants, and surgical intervention practices. The current article reviews the recently developed damage models and rupture models that considered the microstructure of the tissues. Earlier review works presented damage and rupture separately, wherein this work reviews both damage and rupture in soft tissues. Wherein the present article provides a detailed review of various models on the damage evolution and tear in soft tissues focusing on key conceptual ideas, advantages, limitations, and challenges. Some key challenges of damage and rupture models are outlined in the article, which helps extend the present damage and rupture models to various soft tissues.

Indexed as

biomaterialsdamage mechanicsFEMfracture mechanicssoft tissue

Identifiers

PMID35049735
PMCPMC8773318
OpenAlexW4205915931

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.