Dataset Information

Comprehensive comparisons of ocular biometry: A network-based big data analysis.

ABSTRACT:

Purpose

To systematically compare and rank ocular measurements with optical and ultrasound biometers based on big data.

Methods

PubMed, Embase, the Cochrane Library and the US trial registry ( www.

Clinicaltrial

gov ) were used to systematically search trials published up to October 22nd, 2020. We included comparative studies reporting the following parameters measured by at least two devices: axial length (AL), flattest meridian keratometry (Kf), steepest meridian keratometry (Ks), mean keratometry (Km), astigmatism (AST), astigmatism vectors J₀ and J₄₅, anterior chamber depth (ACD), aqueous depth (AQD), central corneal thickness (CCT), corneal diameter (CD) and lens thickness (LT). A network-based big data analysis was conducted using STATA version 13.1.

Results

Across 129 studies involving 17,181 eyes, 12 optical biometers and two ultrasound biometers (with both contact and immersion techniques) were identified. A network meta-analysis for AL and ACD measurements found that statistically significant differences existed when contact ultrasound biometry was compared with the optical biometers. There were no statistically significant differences among the four swept-source optical coherence tomography (SS-OCT) based devices (IOLMaster 700, OA-2000, Argos and ANTERION). As for Ks, Km and CD, statistically significant differences were found when the Pentacam AXL was compared with the IOLMaster and IOLMaster 500. There were statistically significant differences for CCT when the OA-2000 was compared to Pentacam AXL, IOLMaster 700, Lenstar, AL-Scan and Galilei G6.

Conclusion

For AL and ACD, contact ultrasound biometry obtains the lower values compared with optical biometers. The Pentacam AXL achieves the lowest values for keratometry and CD. The smallest value for CCT measurement is found with the OA-2000.

SUBMITTER: Yu J

PROVIDER: S-EPMC9808957 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Comprehensive comparisons of ocular biometry: A network-based big data analysis.

Yu Jinjin J Wen Daizong D Zhao Jing J Wang Yiran Y Feng Ke K Wan Ting T Savini Giacomo G McAlinden Colm C Lin Xuanqiao X Niu Lingling L Chen Sisi S Gao Qingyi Q Ning Rui R Jin Yili Y Zhou Xingtao X Huang Jinhai J

Eye and vision (London, England) 20221210 1

<h4>Purpose</h4>To systematically compare and rank ocular measurements with optical and ultrasound biometers based on big data.<h4>Methods</h4>PubMed, Embase, the Cochrane Library and the US trial registry ( www.<h4>Clinicaltrial</h4>gov ) were used to systematically search trials published up to October 22nd, 2020. We included comparative studies reporting the following parameters measured by at least two devices: axial length (AL), flattest meridian keratometry (Kf), steepest meridian keratome ...[more]

PMID: 36593481

Similar Datasets

Project description:IntroductionThis study investigated the difference between the calculation of cycloplegic crystalline lens power (LP) using non-cycloplegic and cycloplegic biometry data in children, and associated factors were explored.MethodsA total of 821 children were enrolled and only right eye was analyzed. The corneal radii (CR), corneal power (CP), anterior chamber depth (ACD), lens thickness (LT), and axial length (AL) before and after cycloplegia were obtained using IOLMaster 700. Anterior segment length (ASL) was defined as ACD plus LT. The cycloplegic LP was calculated with Bennett's formula. In addition, LP calculated with cycloplegic data was defined as cLP, otherwise it was defined as nLP. The ΔLP (defined as the value as cLP minus nLP) was compared among age, gender, and refractive states groups. Associated factors of ΔLP and |ΔLP| were explored by Pearson's correlation and multivariate linear regression.ResultsThe mean age of the 821 subjects was 9.83 ± 2.97 years with a mean spherical equivalent refraction (SER) of - 1.06 ± 2.12 D. Overall, the ACD, LT, and ASL were significantly affected by cycloplegia agent (all p < 0.001; paired t test). Conversely, no statistically significant differences were documented in AL, CP, or AL/CR ratio before and after inducing cycloplegia (p = 0.917, p = 0.515, and p = 0.549, respectively). Significant difference was found between nLP and cLP (21.24 ± 1.58 D vs 21.43 ± 1.92 D, p = 0.001). The mean ΔLP was 0.11 ± 0.87 D (range from - 7.01 D to 7.08 D). Significant change in LP was found in low and medium groups, respectively (0.13 ± 0.81 D, p = 0.001; 0.11 ± 0.48 D, p = 0.043). In the multiple regression analysis, |ΔLP| was exclusively associated with ΔASL (β = 0.172, [95% CI 0.112-0.300], p < 0.001).ConclusionOur results indicated that using cycloplegic biometry could lead to an overestimation in LP for low and moderate myopia eyes. This finding is likely to facilitate the refractive development research in children.Trial registrationClinicalTrials.gov identifier, NCT05247099.

Dataset Information

Comprehensive comparisons of ocular biometry: A network-based big data analysis.

Purpose

Methods

Clinicaltrial

Results

Conclusion

Publications

Comprehensive comparisons of ocular biometry: A network-based big data analysis.

Similar Datasets

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