Evidence map›Paper›PMID 41132628›Full record

ArticleClinical case reports2025

Conbercept Treatment for Heart-Shaped Vascular Intertwined Nets in Macular Neovascularization: Anti-VEGF Drug Therapy Strategy Based on Vascular Geometry Diagnosed by OCTA.

Shangkun Ou, Feiping Shi, Minqing Cai, Yiming Wu

Abstract read
In one paragraph

Article in Clinical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
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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

4 authors.

Shangkun OuDepartment of Ophthalmology The Affiliated Hospital of Guizhou Medical University Guiyang Guizhou China.ORCID https://orcid.org/0009-0007-3843-1542
Feiping ShiXiamen Eye Center and Eye Institute of Xiamen University, School of Medicine Xiamen China.
Minqing CaiXiamen Eye Center and Eye Institute of Xiamen University, School of Medicine Xiamen China.
Yiming WuXiamen Eye Center and Eye Institute of Xiamen University, School of Medicine Xiamen China.ORCID https://orcid.org/0000-0002-2885-9496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macular neovascularization (MNV), a hallmark of several retinal disorders including ocular trauma and wet age-related macular degeneration, remains a major cause of vision impairment due to the proliferation of abnormal, fragile blood vessels. Anti-VEGF therapies, such as Aflibercept (Eylea), Bevacizumab (Avastin), Brolucizumab (Beovu), Conbercept (Lumitin), Faricimab (Vabysmo), Ranibizumab (Lucentis), and Pegaptanib (Macugen), have significantly transformed MNV management, targeting VEGF to curb this pathological vascular growth. In this report, we describe a 63-year-old male with a history of hypertension and diabetes who developed acute vision loss attributed to MNV secondary to hypertensive retinopathy. Optical coherence tomography angiography (OCTA) revealed unusual heart-shaped, intertwined vascular nets, informing the choice of Conbercept for intravitreal injection. This personalized therapeutic decision led to marked visual improvement over a 12-month period. The case exemplifies the importance of vascular geometry in guiding anti-VEGF selection, supported by existing literature that links specific neovascular geometries to differential drug responsiveness. Conbercept, in particular, proved effective against the complex intertwined nets observed in this patient. These findings emphasize the promise of individualized treatment strategies and the potential of OCTA-based vascular geometry classification as a tool for precision medicine.

Indexed as

artificial intelligencechoroidal neovascularizationConberceptmacular neovascularizationoptical coherence tomography angiography

Identifiers

PMID41132628
PMCPMC12540199

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Registered trials

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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.