Comparative efficacy of anti-vascular endothelial growth factor on diabetic macular edema diagnosed with different patterns of optical coherence tomography: A network meta-analysis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 21 11 2023
accepted: 09 05 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: epublish

Résumé

Intravitreal anti-vascular endothelial growth factor (anti-VEGF) injections have emerged as the most common therapeutic approach for the management of diabetic macular edema (DME). Despite their proven superiority over other interventions, there is a paucity of data regarding the relative effectiveness of anti-VEGF agents in treating DME diagnosed with different patterns of optical coherence tomography (OCT). In this regard, we conducted a systematic review and comparative analysis of the therapeutic efficacy of intravitreal bevacizumab, ranibizumab, aflibercept, and conbercept in the management of DME with diffuse retinal thickening (DRT), cystoid macular edema (CME), and serous retinal detachment (SRD) patterns identified using OCT. Our study encompassed a comprehensive search of PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), and Wan Fang Data from their inception until January 25, 2023. The network meta-analysis involved the inclusion of 1606 patients from 20 retrospective studies with a moderate risk of bias but no evidence of publication bias. The DRT group had the highest increase in best-corrected visual acuity (BCVA) with anti-VEGF, while the SRD group had the greatest reduction in Central Macular Thickness (CMT). Furthermore, conbercept, ranibizumab, and bevacizumab, respectively, showed the best treatment outcomes for patients with DRT, CME, and SRD in terms of improvement in BCVA. And, conbercept exhibited the highest reduction in CMT in the DRT, CME, and SRD groups. In conclusion, our study highlights the efficacy of anti-VEGF agents in the management of DME and provides valuable insights into the selection of anti-VEGF agents tailored to the individual needs of patients.

Identifiants

pubmed: 38848379
doi: 10.1371/journal.pone.0304283
pii: PONE-D-23-36631
doi:

Substances chimiques

Vascular Endothelial Growth Factor A 0
Ranibizumab ZL1R02VT79
Angiogenesis Inhibitors 0
Bevacizumab 2S9ZZM9Q9V
Recombinant Fusion Proteins 0
Receptors, Vascular Endothelial Growth Factor EC 2.7.10.1
aflibercept 15C2VL427D
KH902 fusion protein 1P05PW62F3

Types de publication

Journal Article Meta-Analysis Systematic Review Comparative Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0304283

Informations de copyright

Copyright: © 2024 Yao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Jiajia Yao (J)

The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Amy Medical University), Chongqing, P.R. China.

Wanli Huang (W)

No. 927 hospital, Joint Logistics Support Force of Chinese PLA, Puer, Yunnan, China.

Lixia Gao (L)

Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Amy Medical University), Chongqing, P.R. China.

Yan Liu (Y)

The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Qi Zhang (Q)

The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Juncai He (J)

Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Amy Medical University), Chongqing, P.R. China.
No. 927 hospital, Joint Logistics Support Force of Chinese PLA, Puer, Yunnan, China.

Li Zhang (L)

The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

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Classifications MeSH