Evidence map›Paper›PMID 40534684›Full record

ArticleFrontiers in medicine2025

Digital transformation of care for keratoconus patients: ML modeling structural outcomes of corneal collagen cross-linking.

Yauhen Statsenko, Darya Smetanina, Roman Voitetskii, Gillian Lylian Simiyu, Mikalai Pazniak, Elena Likhorad, Aleh Pazniak, Pavel Beliakouski, Dmitri Abelski, Fatima Ismail and 2 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

12 authors.

Yauhen StatsenkoMedical Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, United Arab Emirates.
Darya SmetaninaDepartment of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Roman VoitetskiiMedical Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, United Arab Emirates.
Gillian Lylian SimiyuDepartment of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Mikalai PazniakMicrosurgery Department, Eye Microsurgery Center "Voka", Minsk, Belarus.
Elena LikhoradMicrosurgery Department, Eye Microsurgery Center "Voka", Minsk, Belarus.
Aleh PazniakMicrosurgery Department, Eye Microsurgery Center "Voka", Minsk, Belarus.
Pavel BeliakouskiMicrosurgery Department, Eye Microsurgery Center "Voka", Minsk, Belarus.
Dmitri AbelskiMicrosurgery Department, Eye Microsurgery Center "Voka", Minsk, Belarus.
Fatima IsmailDepartment of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Klaus Neidl-Van GorkomDepartment of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Milos LjubisavljevicDepartment of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Structural outcomes of corneal collagen cross-linking (CXL) have not been thoroughly investigated. Clinical risk assessment would benefit from a reliable prognosis of postoperative minimal (MCT) and central corneal thickness (CCT). Objective: The objective of this study was to find a combination of diagnostic modalities and measurements that reliably reflect CXL efficiency in terms of corneal thickness. Methods: We retrospectively reviewed the medical histories of 107 patients (131 eyes) who underwent CXL. The dataset included preoperative examinations and follow-up results, which totalled 796 observations. Results: The postoperative changes in MCT are more pronounced, clinically relevant, and meaningful than in CCT. MCT should serve as the major clinical marker of corneal thinning after CXL. The cornea's potential to recover reduces in advanced keratoconus. A polynomial curve demonstrates the natural course of corneal remodeling. It includes thinning immediately after CXL and stabilization with partial recovery of corneal thickness over time. Baseline pachymetry data can adequately reflect the outcomes. Preoperative BAD and topographic indices Conclusion: Risk assessment is accurate with multimodal preoperative diagnostics. A stratification system should take into account findings in different diagnostic modalities.

Indexed as

corneal collagen cross-linkingcorneal thicknessCXL outcomeskeratoconuskeratometry readingsmachine learning modelsprecision medicinepredictive models

Identifiers

PMID40534684
PMCPMC12174071

What Socratic holds

Textmetadata
LicenceCC BY
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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.