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. 2023 Nov 16;24(4):676-687.
doi: 10.17305/bb.2023.9829.

Efficacy of four anti-vascular endothelial growth factor agents and laser treatment for retinopathy of prematurity: A network meta-analysis

Affiliations

Efficacy of four anti-vascular endothelial growth factor agents and laser treatment for retinopathy of prematurity: A network meta-analysis

Yufei Xu et al. Biomol Biomed. .

Abstract

This study undertakes a comprehensive comparison of five different interventions for the treatment of type-1 retinopathy of prematurity (ROP) and aggressive posterior ROP (APROP), offering insights into their relative efficacies and contributing to better clinical decision making. The aim of this study was to compare the efficacy of intravitreal aflibercept (IVA), intravitreal bevacizumab (IVB), intravitreal conbercept (IVC), intravitreal ranibizumab (IVR), and laser therapy in treating these conditions. We conducted a search for relevant randomized controlled trials (RCTs) in databases, namely, PubMed, Embase, Cochrane Library, Web of Science, and Ovid, focusing on these five treatment modalities for ROP. The quality of the included studies was evaluated using the Cochrane Risk of Bias Assessment Tool, and data analysis was performed using STATA software. The results from our network meta-analysis (NMA) indicated that IVA significantly prolonged the interval between initial treatment and relapse in patients, with a surface under the cumulative ranking curve (SUCRA) value of 99.1%. Additionally, patients in the IVB group had a significantly higher spherical equivalent refraction (SER) after surgery, with a SUCRA value of 84.4%. Furthermore, IVR was the most effective in reducing the duration of peripheral retinal vascularization, with a SUCRA value of 95.6%. However, no statistically significant differences were found in relapse rates among the five treatment options. Our analysis concludes that intravitreal injections of anti-vascular endothelial growth factor (anti-VEGF) drug monotherapy generally offer better outcomes than laser treatment for ROP. Nonetheless, additional RCTs are necessary to further evaluate the safety of anti-VEGF agents.

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Conflict of interest statement

Conflicts of interest: Authors declare no conflicts of interest.

Figures

Figure 1.
Figure 1.
Flow diagram presenting the selection strategy.
Figure 2.
Figure 2.
Graph illustrating the risk of bias within the 26 included RCTs, across the different biases. RCTs: Randomized controlled trials.
Figure 3.
Figure 3.
Network graph generated for the recurrence interval of each intervention. Each node in the network graph corresponds to a specific intervention within the NMA, with the node size representing the intervention’s relative weight. The thickness of connecting lines corresponds to the quantity of the included relevant publications. NMA: Network meta-analysis; IVC: Intravitreal conbercept; IVR: Intravitreal ranibizumab; IVA: Intravitreal aflibercept; IVB: Intravitreal bevacizumab.
Figure 4.
Figure 4.
Network graph generated for the SER of each intervention. Each node in the network graph corresponds to a specific intervention within the NMA, with the node size representing the intervention’s relative weight. The thickness of connecting lines corresponds to the quantity of the included relevant publications. SER: Spherical equivalent refraction; NMA: Network meta-analysis; IVB: Intravitreal bevacizumab; IVA: Intravitreal aflibercept; IVR: Intravitreal ranibizumab.
Figure 5.
Figure 5.
Network graph generated for the recurrence prevalence of each intervention. Each node in the network graph corresponds to a specific intervention within the NMA, with the node size representing the intervention’s relative weight. The thickness of connecting lines corresponds to the quantity of the included relevant publications. NMA: Network meta-analysis; IVA: Intravitreal aflibercept; IVB: Intravitreal bevacizumab; IVR: Intravitreal ranibizumab; IVC: Intravitreal conbercept.
Figure 6.
Figure 6.
Network graph generated for the duration of peripheral retinal vascularization of each intervention. Each node in the network graph corresponds to a specific intervention within the NMA, with the node size representing the intervention’s relative weight. The thickness of connecting lines corresponds to the quantity of the included relevant publications. NMA: Network meta-analysis; IVA: Intravitreal aflibercept; IVR: Intravitreal ranibizumab; IVB: Intravitreal bevacizumab.
Figure 7.
Figure 7.
SUCRA plots displaying the probability of each interventions’s effectiveness in extending the recurrence interval for ROP. SUCRA: Surface under the cumulative ranking curve; ROP: Retinopathy of prematurity; IVA: Intravitreal aflibercept; IVB: Intravitreal bevacizumab; IVC: Intravitreal conbercept; IVR: Intravitreal ranibizumab.
Figure 8.
Figure 8.
SUCRA plots displaying the probability of each interventions’s effectiveness in improving SER for ROP. SUCRA: Surface under the cumulative ranking curve; SER: Spherical equivalent refraction; ROP: Retinopathy of prematurity; IVA: Intravitreal aflibercept; IVB: Intravitreal bevacizumab; IVR: Intravitreal ranibizumab.
Figure 9.
Figure 9.
SUCRA plots displaying the probability of each interventions’s effectiveness in reducing recurrence prevalence. SUCRA: Surface under the cumulative ranking curve; IVA: Intravitreal aflibercept; IVB: Intravitreal bevacizumab; IVC: Intravitreal conbercept; IVR: Intravitreal ranibizumab.
Figure 10.
Figure 10.
SUCRA plots displaying the probability of each interventions’s effectiveness in reducing the duration of peripheral retinal vascularization. SUCRA: Surface under the cumulative ranking curve; IVA: Intravitreal aflibercept; IVB: Intravitreal bevacizumab; IVR: Intravitreal ranibizumab.
Figure 11.
Figure 11.
Funnel plots assessing publication bias for various outcomes. (A) Recurrence interval; (B) Spherical equivalent refraction; (C) Recurrence rate; (D) Duration of peripheral retinal vascularization. A: Intravitreal aflibercept; B: Intravitreal bevacizumab; C: Intravitreal conbercept; D: Intravitreal ranibizumab; E: Laser.

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