Evidence map›Paper›PMID 41219562›Full record

ArticleSurgical endoscopy2026

Validating the mesh integration (MINT) index: a 3-month porcine study.

Edward Young, Alex Karatassas, Jean Wong, Peter J Hewett, Sarah Jesse, Celine Li, Andrew Ruszkiewicz, John W Finnie, Anita Jacombs, Darren Tonkin and 1 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2026. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Edward YoungSchool of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia. e.young@adelaide.edu.au.ORCID 0000-0002-5262-5200
Alex KaratassasSchool of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Jean WongDepartment of Surgery, The University of Adelaide, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Peter J HewettSchool of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Sarah JesseDepartment of Surgery, The University of Adelaide, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Celine LiDepartment of Surgery, The University of Adelaide, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Andrew RuszkiewiczSA Pathology, Adelaide, South Australia, Australia.
John W FinnieSchool of Biomedicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Anita JacombsNepean Clinical School, Faculty of Medicine and Health, the University of Sydney, Sydney, NSW, Australia.
Darren TonkinSchool of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Guy J MaddernSchool of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.

Funding

The Hospital Research Foundation (THRF) Group Project Grant 2024-S-RETRO-002-QA 25249
6 · The paper itself

Abstract

backgroundPoor mesh tissue integration is thought to be responsible for hernia mesh repair failures years after surgery. The Mesh Integration (MINT) Index was proposed as a solution to unify methods of evaluating in vivo mesh behaviour. The aim was to validate the Index over a 3-month period using a porcine model.

methodsTwelve brands of mesh were implanted into twelve Landrace-White pigs. Appropriate mesh was randomised to retrorectus and intraperitoneal space. Post-mortems were performed at 2, 3, 4, 8, and 12 weeks. All mesh tissue samples were subjected to standardised testing as predefined in the Index.

resultsMesh was successfully implanted into all pigs. One pig died from congenital cardiomyopathy, and another was euthanised earlier than intended due to complications of midline wound infection. There were no difficulties at post-mortem. Multilevel linear regression analysis with maximum likelihood was performed. A strong fit of models were achieved for all four domains of the Index, with minimal residues. Integration and fibrosis were predicted by time (

conclusionThe MINT Index is a valid framework to objectively assess in vivo mesh behaviour. Substantial research is required before full clinical utility of the Index can be achieved.

Indexed as

HerniorrhaphySurgical MeshAnimalsFibrosisMaterials TestingSwineHerniaIndexMeshPigTissue integrationTranslational research

Identifiers

PMID41219562

What Socratic holds

Textmetadata
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.