Evidence map›Paper›PMID 40881449›Full record

ArticleInternational journal of ophthalmology2025

Efficacy and safety of intravitreal anti-VEGF for myopic choroidal neovascularization.

Jing-Yao Liu, Ju-Ping Liu, Xiao-Rong Li

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jing-Yao LiuTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin 300384, China.
Ju-Ping LiuTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin 300384, China.
Xiao-Rong LiTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin 300384, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo report the 24mo outcomes of vascular endothelial growth factor (VEGF) inhibitors for myopic choroidal neovascularization (mCNV) in routine clinical practice and simultaneously evaluated the real-world safety.

methodsThe patients who received intravitreal injections of VEGF inhibitors of either ranibizumab (0.5 mg) or conbercept (0.5 mg) for mCNV were analyzed from 1 January 2017 to 1 January 2022. The primary outcome variables were mean change in best-corrected visual acuity (BCVA) and central macular thickness (CMT) changes. The secondary outcome variables included IOP changes, the period of mCNV re-treatment, and ocular adverse events.

resultsTotally 83 patients aged 56.40±15.36y with axial length 29.67±2.09 mm were included. In visual acuity, the mean logMAR BCVA at baseline was 0.81±0.43. After the initial improvement at 1, 3, and 6mo (

conclusionBCVA gains achieved by the end of our study maintain generally sustained at the 24-mo follow-up. The findings also indicate that ranibizumab and conbercept demonstrate comparable efficacy and safety profiles. Additionally, intravitreal anti-VEGF therapy using 1+PRN regimen, offers certain advantages in both efficacy and cost-effectiveness.

Indexed as

choroidal neovascularizationconberceptmyopiaranibizumabvascular endothelial growth factor

Identifiers

PMID40881449
PMCPMC12378690

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.