Evidence map›Paper›PMID 42301472›Full record

ArticleSurgical endoscopy2026

Extended validation of the mesh integration (MINT) index: a 1-year porcine study.

Edward Young, Jean Wong, Alex Karatassas, Peter J Hewett, John W Finnie, Guy J Maddern

Abstract readValidation Study
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. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Edward YoungDepartment of Surgery, The Queen Elizabeth Hospital, Adelaide University (The University of Adelaide), Woodville South, South Australia, Australia. e.young@adelaide.edu.au.ORCID http://orcid.org/0000-0002-5262-5200
Jean WongDepartment of Surgery, The Queen Elizabeth Hospital, Adelaide University (The University of Adelaide), Woodville South, South Australia, Australia.
Alex KaratassasDepartment of Surgery, The Queen Elizabeth Hospital, Adelaide University (The University of Adelaide), Woodville South, South Australia, Australia.
Peter J HewettDepartment of Surgery, The Queen Elizabeth Hospital, Adelaide University (The University of Adelaide), Woodville South, South Australia, Australia.ORCID http://orcid.org/0000-0002-8135-1317
John W FinnieSchool of Biomedicine, Faculty of Health and Medical Sciences, Adelaide University (The University of Adelaide), Adelaide, South Australia, Australia.ORCID http://orcid.org/0000-0003-2277-1693
Guy J MaddernDepartment of Surgery, The Queen Elizabeth Hospital, Adelaide University (The University of Adelaide), Woodville South, South Australia, Australia.ORCID http://orcid.org/0000-0003-2064-181X

Funding

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

Abstract

backgroundMesh Integration (MINT) index was previously proposed and validated in the short term as a standardised objective method of evaluating in vivo hernia mesh behaviour. The primary aim was to validate the degradation domain of the mesh integration (MINT) index over a 1-year period using a porcine model, with the secondary aim of determining integration and fibrosis scores after extended implantation.

methodsSix brands of mesh were implanted into three Landrace-White pigs within the retrorectus space. Post-mortems were performed at 1 year. All mesh-tissue samples were subjected to standardised testing specified by MINT. Previous 3-month study conditions were fully replicated.

resultsMesh was successfully implanted into all pigs, with an unremarkable 1-year natural history. There were no difficulties at post-mortem. Visually, all meshes were highly integrated. The 1-year degradation scores obtained were consistent with changes expected in absorbable meshes. Since study methodology, study conditions and mesh lot numbers were identical, the current study data were combined with the previous 3-month study for statistical analysis. Multi-level regression analysis with maximum likelihood was performed, and model diagnostics were conducted. Non-linear models achieved better fit to data than linear models, namely asymptotic for integration (

conclusionThe degradation domain of the MINT index has been validated at 1 year. The versatility of the MINT index platform could potentially be used to summarise existing literature evidence on in vivo mesh behaviour.

Indexed as

Surgical MeshAnimalsFibrosisMaterials TestingSwineHerniaIndexMeshPigTissue integrationTranslational research

Identifiers

PMID42301472
PMCPMC13369702

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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.