Evidence map›Paper›PMID 40858243›Full record

ArticleJournal of the Royal Society, Interface2025

Evaluating corneal cross-linking using Stress-Strain Index maps: a finite element study.

Chenyan Wang, Yuanwan Lou, Yabo Ye, Shuiyang Shen, Fangjun Bao, Junjie Wang, Ahmed Elsheikh

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. 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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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

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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.

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4 · The record

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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

7 authors.

Chenyan Wang *Oujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.ORCID 0000-0003-4469-3083
Yuanwan Lou *Oujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.
Yabo YeOujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.
Shuiyang ShenOujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.
Fangjun BaoOujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.
Junjie WangOujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.
Ahmed ElsheikhOujiang Laboratory, Wenzhou, Zhejiang, People's Republic of China.ORCID 0000-0001-7456-1749

Funding

Natural Science Foundation of Shanxi ProvinceOuJiang Laboratory, Wenzhou, China
6 · The paper itself

Abstract

Keratoconus (KC) is a progressive corneal ectasia leading to visual impairment if untreated. Corneal collagen cross-linking (CXL) is an effective treatment to halt KC progression by strengthening corneal biomechanics. However, current CXL treatments lack customization based on regional corneal stiffness, which is crucial for optimal outcomes. This study introduces a novel approach using Stress-Strain Index (SSI) maps to evaluate localized CXL effects on corneal biomechanics. Numerical modelling based on the finite element method was used to carry out inverse analysis of the human eye to simulate KC and CXL treatments, incorporating regional stiffness variations based on collagen fibril density. SSI maps were generated pre- and post-CXL to assess stiffness changes in treated regions. Results demonstrated that CXL increased corneal stiffness within the treated area, but the extent of stiffness recovery varied with CXL diameter and alignment with the KC cone. Smaller CXL diameters led to higher localized stiffness increases, while misalignment between CXL and KC areas resulted in suboptimal biomechanical restoration. The study highlights the potential of SSI mapping for personalized CXL treatments, enabling precise targeting of biomechanically weakened regions to restore corneal health. This approach contributes to the development of biomechanics-based customization of CXL therapies.

Indexed as

CollagenCorneaCross-Linking ReagentsKeratoconusModels, BiologicalBiomechanical PhenomenaCorneal Cross-LinkingFinite Element AnalysisHumansStress, MechanicalCollagenCross-Linking Reagentsbiomechanicscollagen cross-linkingfinite element analysiskeratoconusStress–Strain Index

Identifiers

PMID40858243
PMCPMC12380491

What OpenQuestion holds

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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.