Published online Feb 16, 2022. doi: 10.12998/wjcc.v10.i5.1548
Peer-review started: October 15, 2021
First decision: December 1, 2021
Revised: December 15, 2021
Accepted: December 31, 2021
Article in press: December 31, 2021
Published online: February 16, 2022
Processing time: 118 Days and 20.1 Hours
Recent epidemiological studies have shown that general eye measurement parameters and corneal biomechanical properties can predict the speed of myopic progression in children.
To investigate the correlation between the onset and progression of myopia and corneal biomechanical parameters in children.
The study included 102 cases in the emmetropia group, 207 cases in the myopic group, and 109 cases in the hyperopic group. The correlation between the change in corneal biomechanical indexes and the change in general ocular measurement parameters was analyzed. A one-way ANOVA test compared general ocular measurement and corneal biomechanical parameters. Pearson’s correlation coefficient was analyzed to correlate corneal biomechanical and general ocular measurement parameters.
The general ophthalmometric parameters: Spherical equivalent (SE), intraocular pressure (IOP), and axial length (AL), differed significantly among subjects in myopia, emmetropia, and hyperopic groups. Children’s SE positively correlated with corneal biomechanical parameters: Second velocity of applanation (A2V), peak distance (PD), and deformation amplitude (DA) (P < 0.05), and second applanation length (A2L) (P < 0.05). But it was negatively correlated with PD, DA and integral radius (IR) (P < 0.05). Also, IOP was negatively correlated with A2L and IR (P < 0.05). AL positively correlated with A2V and negatively correlated with second applanation time (A2T), highest concavity, and PD. Central corneal thickness positively correlated with first applanation length, first applanation time, first applanation deformation amplitude, A2V, A2L, A2T, second applanation deformation amplitude, central curvature radius at highest concavity (HCR), PD, DA, IR, ambrosia relational thickness-horizontal, first applanation stiffness parameter, corvis biomechanical index, topographic and biomechanics index and the first velocity of applanation. The general ocular Km in children positively correlated with corneal biomechanical parameters DA and IR and negatively correlated with A2L, HCR, and PD. There was a positive correlation between the general ocular measurement parameters ΔSE and corneal biomechanical parameters ΔA2V and ΔA2L, and a negative correlation with ΔIR. The increase in general ocular measurement parameter ΔKm positively correlated with changes in corneal biomechanical parameters, ΔDA and ΔIR, and negatively correlated with ΔHCR and ΔPD.
Myopia development in children was associated with multiple corneal biomechanical parameters.
Core Tip: A total of 207 elementary school students aged 9-11 years, 142 males and 65 females, who presented to our hospital from November 2019 to April 2020, were enrolled for myopia study. We found a correlation between myopia development and various corneal biomechanical parameters in children. These findings may allow clinicians to take preventive measures to minimize a further increase in axial length.
- Citation: Lu LL, Hu XJ, Yang Y, Xu S, Yang SY, Zhang CY, Zhao QY. Correlation of myopia onset and progression with corneal biomechanical parameters in children. World J Clin Cases 2022; 10(5): 1548-1556
- URL: https://www.wjgnet.com/2307-8960/full/v10/i5/1548.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i5.1548
Refractive error is one of the leading causes of visual impairment in Chinese school-age children and is associated with a significant decrease in self-perceived visual function[1]. Patients with myopia, especially those with high myopia, could be much more likely to have serious complications, such as retinal detachment and open-angle glaucoma, than normal patients. Their reduced visual acuity and impaired visual function greatly affect their work, study, and daily activities. The progression of myopia is closely related to an increased eye axis. One possible reason for the accelerated growth of the eye axis is the weakening of the structure or function of the corneoscleral[2-5]. Therefore, the development of myopia may be related to corneoscleral stiffness, and the mechanical properties of the biological tissue play an important role in the increase of the ocular axis. Reducing scleral matrix metalloproteinase activity, decreasing the loss of extracellular matrix, and enhancing scleral biomechanical strength may slow down myopia progression. Therefore, it is crucial to learn about the correlation among children’s ocular parameters, including corneal biomechanical parameters, and their alterations in children’s myopia development. This study aimed to investigate the correlation between the occurrence and progre
The study included elementary school students aged 9–11 years who visited our hospital from November 2019 to April 2020. Our hospital ethics committee approved the study, and all enrolled subjects provided informed consent. Inclusion criteria: (1) best-corrected vision acuity ≥ 0.5 (LogMAR); and (2) no history of wearing special glasses, such as keratoplasty lenses. Exclusion criteria: (1) other eye diseases, such as amblyopia, strabismus, cone cornea, and lid entropion; (2) history of previous ophthalmic surgery, such as retinal, congenital cataract, and ptosis surgery; and (3) systemic diseases affecting the eye, such as diabetes mellitus. We grouped the subjects according to their spherical equivalent lens degree: (1) myopic group: SE < -0.50 D; (2) emmetropia group: -0.50 D ≤ SE ≤ + 0.50 D; and (3) hyperopic group: SE > + 0.50 D. There were 207 cases in the myopic group, including 142 males and 65 females, with a mean age of 10.23 ± 0.58 years. There were 102 cases in the emmetropia group, including 61 males and 41 females, with a mean age of 10.04 ± 0.64 years. There were 109 cases in the hyperopia group, including 59 males and 50 females, with a mean age of 10.19 ± 0.84 years. We followed up on patients in the myopia group every 3 mo, recording the axial measurement, medical optometry, and corneal biomechanical parameters. After 1 year of follow-up, we compared changes in corneal biomechanical indexes and other clinical characteristics.
After enrollment, all subjects underwent routine ophthalmic examinations, including naked eye visual acuity, best-corrected visual acuity, anterior segment, fundus, medical optometry, and other ophthalmic examinations. Subjects’ intraocular pressure (IOP), anterior chamber depth, corneal curvature, spherical equivalent (SE), flat-axis corneal curvature, and steep-axis corneal curvature were recorded. IOLMaster measured axial length (AL). Corvis ST measured corneal biomechanical parameters and biological parameters, including the first velocity of applanation (A1V), first applanation length (A1L), first applanation time (A1T), first applanation deformation amplitude (A1DA), the second velocity of applanation (A2V), second applanation length (A2L), second applanation time (A2T), second applanation deformation amplitude (A2DA), time from the start until the highest concavity (HCT), central curvature radius at highest concavity (HCR), peak distance (PD), deformation amplitude (DA), central corneal thickness (CCT), integrated radius (IR), ambrosia relational thickness-horizontal (ARTh), first applanation stiffness parameter (SP-A1), corvis biomechanical index (CBI), and topographic and biomechanics index (TBI).
The Kolmogorov–Smirnov test analyzed the distribution of variables. Normally, distributed data were expressed as the mean ± SD. The one-ANOVA test compared the three groups’ general ocular measurement and corneal biomechanical parameters. Correlations between corneal biomechanical and general ocular measurement parameters were analyzed using a Pearson correlation coefficient. All statistical analyses were performed using the SPSS 23.0 software package and MedCalc 15.2.2 software. P < 0.05 was considered a statistically significant difference.
There were statistically significant (P < 0.05) differences in the general ocular measurement parameters SE, IOP, and AL among subjects in three groups. However, there were no significant differences in the general ocular measurement parameters CCT and Km among subjects in three groups (P > 0.05), as shown in Table 1.
Number of cases | SE (D) | IOP (mmHg) | AL (mm) | CCT (μm) | Km | |
Myopia group | 207 | -2.543 ± 0.493 | 17.04 ± 2.88 | 25.61 ± 0.77 | 560.31 ± 36.13 | 43.15 ± 2.05 |
Emmetropia group | 102 | -0.104 ± 0.025 | 15.40 ± 2.09 | 23.35 ± 0.68 | 559.23 ± 38.43 | 43.05 ± 1.96 |
Hyperopia group | 109 | 2.465 ± 1.025 | 15.32 ± 2.93 | 22.08 ± 0.79 | 561.92 ± 40.50 | 43.61 ± 2.34 |
F | 2321 | 19.94 | 855.1 | 0.1364 | 2.279 | |
P value | < 0.0001 | < 0.0001 | < 0.0001 | 0.8725 | 0.1036 |
The corneal biomechanical parameters A1V, A1L, A1T, A1DA, A2V, A2DA, HCR, PD, IR, ARTh, SP-A1, CBI, and TBI were significantly different (P < 0.05) among subjects in three groups. However, the corneal biomechanical A2L, A2T, HCT, DA were not significantly different subjects in three groups (P > 0.05, Table 2).
Number of cases | A1V (ms-1) | A1L (mm) | A1T (ms) | A1DA (mm) | A2V (ms-1) | A2L (mm) | A2T (ms) | A2D (mm) | HCT (ms) | HCR (mm) | PD (mm) | DA (mm) | IR | ARTh | SP-A1 | CBI | TBI | |
Myopia group | 207 | 0.13 ± 0.02 | 1.85 ± 0.29 | 7.63 ± 0.29 | 0.12 ± 0.01 | 0.29 ± 0.06 | 1.73 ± 0.39 | 21.33 ± 0.93 | 0.37 ± 0.08 | 16.70 ± 0.79 | 7.59 ± 0.73 | 3.42 ± 0.88 | 0.98 ± 0.09 | 9.23 ± 1.93 | 472.03 ± 131.43 | 102.01 ± 18.43 | 0.53 ± 0.35 | 0.56 ± 0.25 |
Emmetropia group | 102 | 0.15 ± 0.05 | 1.93 ± 0.33 | 7.41 ± 0.22 | 0.13 ± 0.01 | 0.30 ± 0.02 | 1.70 ± 0.55 | 21.57 ± 1.24 | 0.41 ± 0.09 | 16.73 ± 0.49 | 6.42 ± 0.89 | 3.77 ± 0.92 | 0.99 ± 0.09 | 9.05 ± 2.61 | 451.61 ± 111.43 | 107.32 ± 14.62 | 0.23 ± 0.14 | 0.33 ± 0.23 |
Hyperopia group | 109 | 0.14 ± 0.03 | 1.77 ± 0.39 | 7.39 ± 0.29 | 0.13 ± 0.02 | 0.31 ± 0.05 | 1.63 ± 0.53 | 21.35 ± 1.29 | 0.47 ± 0.13 | 16.59 ± 0.66 | 6.69 ± 1.02 | 3.02 ± 0.61 | 0.99 ± 0.10 | 11.34 ± 1.34 | 256.45 ± 46.34 | 108.42 ± 14.45 | 0.02 ± 0.01 | 0.12 ± 0.07 |
F | 13.57 | 6.258 | 36.89 | 29.34 | 5.780 | 1.610 | 1.706 | 37.52 | 1.267 | 78.85 | 21.67 | 0.6079 | 47.99 | 145.7 | 6.681 | 150.6 | 158.2 | |
P value | < 0.0001 | 0.0021 | < 0.0001 | < 0.0001 | 0.0033 | 0.2011 | 0.1829 | < 0.0001 | 0.2829 | < 0.0001 | < 0.0001 | 0.5450 | < 0.0001 | < 0.0001 | 0.0014 | < 0.0001 | < 0.0001 |
Children’s general ocular measurement parameter SE positively correlated with corneal biomechanical parameters A2V and A2L while negatively correlated with PD, DA, and IR. In children, the general ocular measurement parameter IOP was positively correlated with corneal biomechanical parameters PD and DA and negatively correlated with A2L and IR. The general ocular measurement parameter AL positively correlated with corneal biomechanical parameter A2V and negatively correlated with A2T, HCT, and PD. The general ocular measurement parameter CCT in children was positively correlated with corneal biomechanical parameters A1L, A1T, A2V, A2L, A2T, A2DA, HCR, PD, DA, IR, ARTh, SP-A1, CBI, and TBI and negatively correlated with A1V. Children’s general ocular measurement parameter Km positively correlated with corneal biomechanical parameters DA and IR but negatively correlated with A2L, HCR, and PD (all P < 0.05), as shown in Table 3.
SE (D) | IOP (mmHg) | AL (mm) | CCT (μm) | Km | ||||||
ρ | P value | ρ | P value | ρ | P value | ρ | P value | ρ | P value | |
A1V | -0.042 | 0.3917 | 0.053 | 0.2797 | -0.003 | 0.9512 | -0.583 | < 0.0001 | 0.103 | 0.0353 |
A1L | 0.033 | 0.5010 | -0.061 | 0.2133 | -0.077 | 0.1160 | 0.483 | < 0.0001 | -0.089 | 0.692 |
A1T | 0.024 | 0.6246 | -0.091 | 0.0631 | -0.082 | 0.0941 | 0.562 | < 0.0001 | 0.008 | 0.8705 |
A1DA | 0.038 | 0.4384 | -0.073 | 0.1362 | 0.053 | 0.2797 | 0.358 | 0.2367 | 0.048 | 0.3276 |
A2V | 0.235 | < 0.0001 | -0.114 | 0.0197 | 0.302 | < 0.0001 | 0.542 | < 0.0001 | 0.043 | 0.3805 |
A2L | 0.124 | 0.0112 | -0.139 | 0.0044 | -0.094 | 0.0548 | 0.382 | < 0.0001 | -0.117 | 0.0167 |
A2T | 0.093 | 0.0575 | -0.088 | 0.0723 | -0.110 | 0.0245 | 0.421 | < 0.0001 | 0.021 | 0.6686 |
A2DA | 0.041 | 0.4031 | -0.038 | 0.4383 | 0.074 | 0.1309 | 0.345 | < 0.0001 | 0.033 | 0.5010 |
HCT | 0.004 | 0.9350 | -0.008 | 0.8705 | -0.109 | 0.0258 | 0.049 | 0.3176 | 0.063 | 0.1986 |
HCR | 0.009 | 0.8705 | -0.039 | 0.4265 | -0.049 | 0.3176 | 0.482 | < 0.0001 | -0.285 | < 0.0001 |
PD | -0.130 | 0.0078 | 0.117 | 0.0167 | 0.545 | < 0.0001 | 0.381 | < 0.0001 | -0.394 | < 0.0001 |
DA | -0.119 | 0.0149 | 0.193 | 0.0001 | 0.038 | 0.4384 | 0.295 | < 0.0001 | 0.234 | < 0.0001 |
IR | -0.204 | < 0.0001 | 0.244 | < 0.0001 | 0.025 | 0.6103 | 0.421 | < 0.0001 | 0.283 | < 0.0001 |
ARTh | 0.062 | 0.2059 | -0.072 | 0.1417 | 0.017 | 0.7289 | 0.274 | < 0.0001 | -0.085 | 0.0826 |
SP-A1 | 0.032 | 0.5141 | -0.024 | 0.6246 | -0.059 | 0.2287 | 0.362 | < 0.0001 | 0.008 | 0.8705 |
CBI | 0.039 | 0.4265 | -0.019 | 0.6985 | -0.06 | 0.2209 | 0.385 | < 0.0001 | 0.087 | 0.0756 |
TBI | 0.027 | 0.5820 | -0.020 | 0.6835 | -0.016 | 0.7443 | 0.0235 | < 0.0001 | 0.064 | 0.1916 |
The general ocular measurement parameters ΔIOP was positively correlated with the corneal biomechanical parameters ΔDA, ΔIR, and negatively with ΔA2L, and increased ΔAL was positively correlated with corneal biomechanical parameters ΔA2V and ΔPD.
There was a positive correlation between the increase in general ocular measurement ΔSE and the change in corneal biomechanical parameters ΔA2V and ΔA2L and a negative correlation with ΔIR. There was a positive correlation between ΔIOP and ΔDA and a negative correlation between ΔA2L and ΔIR. There was a positive correlation between the increase in the general ocular measurement parameter ΔAL and the change in the corneal biomechanical parameters ΔA2V and ΔPD in children. There was a positive correlation between the general ocular measurement parameter ΔCCT and the corneal biomechanical parameters ΔA1L, ΔA1T, ΔA2V, ΔA2L, ΔA2T, ΔA2DA, ΔHCR, ΔPD, ΔDA, ΔIR, ΔARTh, ΔSP-A1, ΔCBI, and ΔTBI and a negative correlation with ΔA1V. There was a positive correlation between the increase in general ocular measurement parameter ΔKm and the change in corneal biomechanical parameters ΔDA and ΔIR and a negative correlation with ΔHCR and ΔPD in children (all P < 0.05), as shown in Table 4.
ΔSE (D) | ΔIOP (mmHg) | ΔAL (mm) | CCT (μm) | Km | ||||||
ρ | P value | ρ | P value | ρ | P value | ρ | P value | ρ | P value | |
ΔA1V | -0.0391 | 0.5758 | 0.0460 | 0.5107 | -0.0032 | 0.9631 | -0.5873 | < 0.0001 | 0.1010 | 0.1478 |
ΔA1L | 0.0370 | 0.5962 | -0.0673 | 0.3350 | -0.0818 | 0.2415 | 0.4236 | < 0.0001 | -0.0716 | 0.3053 |
ΔA1T | 0.0257 | 0.7133 | -0.0917 | 0.1889 | -0.0909 | 0.1926 | 0.4629 | < 0.0001 | 0.0080 | 0.9084 |
ΔA1DA | 0.0344 | 0.6230 | -0.0586 | 0.4013 | 0.0455 | 0.5147 | 0.3530 | < 0.0001 | 0.0475 | 0.4966 |
ΔA2V | 0.2027 | 0.0034 | -0.1075 | 0.1232 | 0.3121 | < 0.0001 | 0.5029 | < 0.0001 | 0.0472 | 0.4994 |
ΔA2L | 0.1397 | 0.0446 | -0.1459 | 0.0360 | -0.0971 | 0.1640 | 0.4505 | < 0.0001 | -0.0972 | 0.1637 |
ΔA2T | 0.0772 | 0.2691 | -0.0718 | 0.3042 | -0.0897 | 0.1987 | 0.4920 | < 0.0001 | 0.0244 | 0.7268 |
ΔA2DA | 0.0462 | 0.5089 | -0.0321 | 0.6459 | 0.0677 | 0.3327 | 0.3561 | < 0.0001 | 0.0331 | 0.6357 |
ΔHCT | 0.0035 | 0.9601 | -0.0073 | 0.9171 | -0.1120 | 0.1082 | 0.0465 | 0.5061 | 0.0717 | 0.3047 |
ΔHCR | 0.0081 | 0.9073 | -0.0323 | 0.6446 | -0.0508 | 0.4669 | 0.5378 | < 0.0001 | -0.3190 | < 0.0001 |
ΔPD | -0.1331 | 0.0559 | 0.1361 | 0.0505 | 0.4427 | < 0.0001 | 0.3246 | < 0.0001 | -0.3320 | < 0.0001 |
ΔDA | -0.1130 | 0.1049 | 0.1814 | 0.0089 | 0.0391 | 0.5763 | 0.2474 | 0.0003 | 0.2125 | 0.0021 |
ΔIR | -0.1841 | 0.0079 | 0.2674 | 0.0001 | 0.0228 | 0.7439 | 0.4886 | < 0.0001 | 0.2615 | 0.0001 |
ΔARTh | 0.0542 | 0.4378 | -0.0671 | 0.3365 | 0.0164 | 0.8150 | 0.3274 | < 0.0001 | -0.0726 | 0.2983 |
ΔSP-A1 | 0.0372 | 0.5951 | -0.0209 | 0.7655 | -0.0623 | 0.3727 | 0.4282 | < 0.0001 | 0.0074 | 0.9161 |
ΔCBI | 0.0321 | 0.6461 | -0.0160 | 0.8187 | -0.0534 | 0.4450 | 0.3329 | < 0.0001 | 0.1010 | 0.1474 |
ΔTBI | 0.0234 | 0.7378 | -0.0187 | 0.7888 | -0.0143 | 0.8381 | 0.0247 | 0.7238 | 0.0589 | 0.3988 |
The corneal biomechanical parameters A1V, A1L, A1T, A1DA, A2V, A2DA, HCR, PD, IR, ARTh, SP-A, CBI, and TBI were statistically different in the myopic, emmetropia, and hyperopic groups (all P < 0.05).
The prevalence of myopia is rather high worldwide, reaching 80% in some Asian populations[6]. Well-documented changes in myopia include prolonged AL, deeper anterior chamber and vitreous depth, thinner retina, higher incidence of retinal detachment, and reduced scleral thickness and elasticity[6]. This study measured general ocular and corneal biomechanical parameters in myopic, emmetropic, and hyperopic children. The analysis revealed statistically significant (P < 0.05) differences in general ocular measurement parameters SE, IOP, and AL among subjects in three groups. Corneal biomechanical parameters A1V, A1L, A1T, A1DA, A2V, A2DA, HCR, PD, IR, ARTh, SP-A1, CBI, and TBI were significantly different (P < 0.05) in three groups. Despite the limited tracking time and the number of participants compared to the large scale of clinic studies, our data were effectively valid because of highly professional supervision and appropriate statistics.
IOP is an important biometric parameter in myopic eyes. Previous studies have shown that thinner corneas may lead to underestimation errors in IOP measurements[7]. However, recent studies have found significantly higher mean IOP values in myopic children than in non-myopic children[8]. In this study, children’s general eye measurement parameter IOP was positively correlated with corneal biomechanical parameters PD and DA and negatively correlated with A2L and IR. The change in ΔIOP was positively correlated with the corneal biomechanical parameter ΔDA and negatively correlated with ΔA2L and ΔIR (all P < 0.05). Glaucoma is a blinding eye disease and the major ocular disease causing vision loss and blindness worldwide that shows characteristic damage to the optic nerve and loss of visual function[9]. Primary open-angle glaucoma is the most common form of glaucoma globally, where the degree of visual field damage is already severe, and the damage to visual acuity and visual field is irreversible[10]. Elevated IOP is considered the most important risk factor for developing and progression of primary open-angle glaucoma[11]. Therefore, alterations in DA in myopia development in children can be used as potential markers for glaucoma development.
In the present study, the general ocular measurement parameter CCT in children positively correlated (P < 0.05) with the corneal biomechanical parameters A1L, A1T, A2V, A2L, A2T, A2DA, HCR, PD, DA, IR, ARTh, SP-A1, CBI, and TBI, while it was negatively correlated (P < 0.05) with A1V. The general ocular measurement parameter ΔCCT in children positively correlated with corneal biomechanical parameters ΔA1L, ΔA1T, ΔA2V, ΔA2L, ΔA2T, ΔA2DA, ΔHCR, ΔPD, ΔDA, ΔIR, ΔARTh, ΔSP-A1, ΔCBI, and ΔTBI (P < 0.05), while negatively correlated with ΔA1V (P < 0.05). Studies of CCT in children of different ages have shown that CCT increases with age so that the average CCT is thicker in older than in young children[12]. CCT and the change in CCT positively correlated with most corneal biomechanics except for A1V and ΔA1V, so these corneal biomechanical parameters may also increase with the child’s age.
The refractive error results from a mismatch between various optical components of the eye, one of the most important parts of which is AL[13]. In the present study, there was a positive correlation between the general ocular measurement parameter AL and the corneal biomechanical parameter A2V (P < 0.05) and a negative correlation with A2T, HCT, and PD (P < 0.05) in children. There was a positive correlation between the increased general ocular measurement parameter ΔAL and the change in the corneal biomechanical parameter ΔA2V and ΔPD in children (P < 0.05). This usually corresponds to an AL ≥ 26 mm, which significantly increases the risk of serious complications later in life, including myopic macular degeneration, retinal detachment, and glaucoma[14,15]. The mean AL of the subjects in the myopic group included in this study was 25.61 ± 0.77 mm. Therefore, the corneal biomechanical parameters A2V, A2T, HCT, and PD may identify children at low risk. The application of corneal biomechanical parameters will allow clinicians to implement preventive measures to minimize the further increase in AL. These measures include pharmacological agents, such as atropine, and optical applications, such as multifocal contact lenses. There are still limitations in this study, including that this study is a prospective study and cannot determine the causal relationship between various variables. At the same time, this study only collected children from the same hospital, and the sample size is small. There may still be other influencing factors that have not been found. The age range of children included in this study is not large enough. In addition, due to time constraints, the children were not followed up for a longer time.
Myopia development in children was associated with multiple corneal biomechanical parameters. These findings may help clinics take preventive measures to minimize the further increase in myopic children’s axial length.
Patients with myopia, especially those with high myopia, are much more likely to have serious complications such as retinal detachment and open-angle glaucoma than normal patients. High myopia may have a degenerative disorder, including cornea, sclera, choroid, optic disc, vitreous, macula, and peripheral retina.
The increasingly high incidents of myopia in children and the association with multiple corneal biomechanical parameters in local community and worldwide.
This study is to determine the change of corneal biomechanical parameters after onset and progression of myopia.
A total of 207 myopic subjects were enrolled according to local clinic criteria and one-way ANOVA test was applied to determine whether there is statistical evidence between different general ocular measurement parameters.
There is a correlation between the development of myopia and various corneal biomechanical parameters in children.
There are positive and negative correlations between myopia and general eye measurement parameters, corneal biomechanical parameters and other multiple parameters.
Corneal ophthalmometric parameters and biomechanical properties including multiple baselines may be able to predict the development of myopia.
Provenance and peer review: Unsolicited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Ophthalmology
Country/Territory of origin: China
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P-Reviewer: Baird PN, Lee CH S-Editor: Wang JL L-Editor: A P-Editor: Wang JL
1. | Grzybowski A, Kanclerz P, Tsubota K, Lanca C, Saw SM. A review on the epidemiology of myopia in school children worldwide. BMC Ophthalmol. 2020;20:27. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 96] [Cited by in F6Publishing: 199] [Article Influence: 49.8] [Reference Citation Analysis (0)] |
2. | Wang J, Li Y, Musch DC, Wei N, Qi X, Ding G, Li X, Li J, Song L, Zhang Y, Ning Y, Zeng X, Hua N, Li S, Qian X. Progression of Myopia in School-Aged Children After COVID-19 Home Confinement. JAMA Ophthalmol. 2021;139:293-300. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 120] [Cited by in F6Publishing: 232] [Article Influence: 77.3] [Reference Citation Analysis (0)] |
3. | Walline JJ, Walker MK, Mutti DO, Jones-Jordan LA, Sinnott LT, Giannoni AG, Bickle KM, Schulle KL, Nixon A, Pierce GE, Berntsen DA; BLINK Study Group. Effect of High Add Power, Medium Add Power, or Single-Vision Contact Lenses on Myopia Progression in Children: The BLINK Randomized Clinical Trial. JAMA. 2020;324:571-580. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 102] [Cited by in F6Publishing: 146] [Article Influence: 36.5] [Reference Citation Analysis (0)] |
4. | Yam JC, Tang SM, Kam KW, Chen LJ, Yu M, Law AK, Yip BH, Wang YM, Cheung CYL, Ng DSC, Young AL, Tham CC, Pang CP. High prevalence of myopia in children and their parents in Hong Kong Chinese Population: the Hong Kong Children Eye Study. Acta Ophthalmol. 2020;. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 51] [Cited by in F6Publishing: 72] [Article Influence: 18.0] [Reference Citation Analysis (0)] |
5. | Liu XN, Naduvilath TJ, Wang J, Xiong S, He X, Xu X, Sankaridurg PR. Sleeping late is a risk factor for myopia development amongst school-aged children in China. Sci Rep. 2020;10:17194. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 13] [Cited by in F6Publishing: 33] [Article Influence: 8.3] [Reference Citation Analysis (0)] |
6. | McCullough S, Adamson G, Breslin KMM, McClelland JF, Doyle L, Saunders KJ. Axial growth and refractive change in white European children and young adults: predictive factors for myopia. Sci Rep. 2020;10:15189. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 20] [Cited by in F6Publishing: 34] [Article Influence: 8.5] [Reference Citation Analysis (0)] |
7. | Ku PW, Steptoe A, Lai YJ, Hu HY, Chu D, Yen YF, Liao Y, Chen LJ. The Associations between Near Visual Activity and Incident Myopia in Children: A Nationwide 4-Year Follow-up Study. Ophthalmology. 2019;126:214-220. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 46] [Cited by in F6Publishing: 47] [Article Influence: 7.8] [Reference Citation Analysis (0)] |
8. | Modjtahedi BS, Abbott RL, Fong DS, Lum F, Tan D; Task Force on Myopia. Reducing the Global Burden of Myopia by Delaying the Onset of Myopia and Reducing Myopic Progression in Children: The Academy's Task Force on Myopia. Ophthalmology. 2021;128:816-826. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 13] [Cited by in F6Publishing: 46] [Article Influence: 11.5] [Reference Citation Analysis (0)] |
9. | Bouhenni RA, Ricker I, Hertle RW. Prevalence and Clinical Characteristics of Childhood Glaucoma at a Tertiary Care Children's Hospital. J Glaucoma. 2019;28:655-659. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 13] [Cited by in F6Publishing: 23] [Article Influence: 5.8] [Reference Citation Analysis (0)] |
10. | Ji X, Zhang Z, Shi J, He B. Clinical application of NGS-based SNP haplotyping for the preimplantation genetic diagnosis of primary open angle glaucoma. Syst Biol Reprod Med. 2019;65:258-263. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 9] [Cited by in F6Publishing: 13] [Article Influence: 2.6] [Reference Citation Analysis (0)] |
11. | Gedde SJ, Vinod K, Wright MM, Muir KW, Lind JT, Chen PP, Li T, Mansberger SL; American Academy of Ophthalmology Preferred Practice Pattern Glaucoma Panel. Primary Open-Angle Glaucoma Preferred Practice Pattern®. Ophthalmology. 2021;128:P71-P150. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 35] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis (0)] |
12. | Dong L, Kang YK, Li Y, Wei WB, Jonas JB. Prevalence and Time Trends of Myopia in Children and Adolescents in China: A Systemic Review and Meta-Analysis. Retina. 2020;40:399-411. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 47] [Cited by in F6Publishing: 110] [Article Influence: 36.7] [Reference Citation Analysis (0)] |
13. | Wei S, Li SM, An W, Du J, Liang X, Sun Y, Zhang D, Tian J, Wang N. Safety and Efficacy of Low-Dose Atropine Eyedrops for the Treatment of Myopia Progression in Chinese Children: A Randomized Clinical Trial. JAMA Ophthalmol. 2020;138:1178-1184. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 33] [Cited by in F6Publishing: 88] [Article Influence: 29.3] [Reference Citation Analysis (0)] |
14. | Rozema J, Dankert S, Iribarren R, Lanca C, Saw SM. Axial Growth and Lens Power Loss at Myopia Onset in Singaporean Children. Invest Ophthalmol Vis Sci. 2019;60:3091-3099. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 38] [Cited by in F6Publishing: 78] [Article Influence: 15.6] [Reference Citation Analysis (0)] |
15. | Tideman JWL, Polling JR, Jaddoe VWV, Vingerling JR, Klaver CCW. Environmental Risk Factors Can Reduce Axial Length Elongation and Myopia Incidence in 6- to 9-Year-Old Children. Ophthalmology. 2019;126:127-136. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 41] [Cited by in F6Publishing: 56] [Article Influence: 9.3] [Reference Citation Analysis (0)] |