ArticleBMC ophthalmology2020
A predictive model for early diagnosis of keratoconus.
Article in BMC ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
- The prevalence of refractive errors among patients with keratoconus attending Damascus hospital, Syria: a cross-sectional study.BMC ophthalmology · 2026Article
- The Future of Interventional Keratoconus Management: Perspectives on Integrating Epithelium-on Oxygen-Enriched Cross-Linking into Comprehensive Care Pathways.Therapeutics and clinical risk management · 2026Article
- Corneal Remodeling Using Laser Asymmetric Keratectomy in Patients with Keratoconus Suspect.Journal of clinical medicine · 2025Article
- Omics in Keratoconus: From Molecular to Clinical Practice.Journal of clinical medicine · 2025Review
- The Combined Utilization of Epithelial Thickness and Tomographic Parameters in Keratoconus Detection.Journal of ophthalmology · 2025Article
- Influence of Biometric and Corneal Tomographic Parameters on Normative Corneal Aberrations Measured by Root Mean Square.Journal of clinical medicine · 2024Article
- Multi-modal imaging for the detection of early keratoconus: a narrative review.Eye and vision (London, England) · 2024Review
- Topographic Keratoconus Incidence in Greece Diagnosed in Routine Consecutive Cataract Procedures: A Consecutive Case Series of 1250 Cases over 5 Years.Journal of clinical medicine · 2024Article
- Quantitative Assessment of Biomechanical Properties of the Human Keratoconus Cornea Using Acoustic Radiation Force Optical Coherence Elastography.Translational vision science & technology · 2022Article
- Twenty-four hours intraocular pressure in keratoconic eyes assessed by applanation tonometry and Tono-Pen AVIA.International journal of ophthalmology · 2022Article
- Diagnosis of Subclinical Keratoconus Based on Machine Learning Techniques.Journal of clinical medicine · 2021Article
- Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters.Journal of clinical medicine · 2021Article
- A model of visual limitation in patients with keratoconus.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore, to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models.
methodsThe design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 early-stage keratoconus and 83 established keratoconus. The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of early-stage keratoconus was calculated with the statistically significant variables.
resultsStatistically significant differences were observed when comparing normal corneas with early-stage keratoconus/ in variables of the vertical asymmetry to 90° and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90° and posterior coma to 90°. The model properly diagnosed 92% of cases with a sensitivity of 97.59%, specificity 98.78%, accuracy 98.18% and precision 98.78%.
conclusionsThe differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90° and the posterior coma to 90°.
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