Evidence map›Paper›PMID 37332546›Full record

ArticleInternational journal of ophthalmology2023

Volumetric fluid analysis of fixed monthly anti-VEGF treatment in patients with neovascular age-related macular degeneration.

Bo Hee Kim, In Boem Chang, Hyeong Gon Yu, In Hwan Hong

Open access · goldAbstract read
In one paragraph

Article in International journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

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  3. Niosome-encapsulated auraptene reduced the mRNA expression ofInternational journal of ophthalmology · 2024
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  4. Article
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 at 3 institutions in 1 country.

Bo Hee KimDepartment of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea.
In Boem ChangSeoul On Eye Clinic, Seoul 03355, Republic of Korea.
Hyeong Gon YuDepartment of Ophthalmology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.
In Hwan HongDepartment of Ophthalmology, Dongtan Sacred Heart Hospital, Hallym University Medical Center, Hwaseong-si, Gyeonggi-do 18450, Republic of Korea.
Hallym University Dongtan Sacred Heart Hospital · KRKangbuk Samsung Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate visual outcomes and changes in fluid after administering monthly anti-vascular endothelial growth factor (VEGF) injections to treat neovascular age-related macular degeneration (nAMD) with subretinal fluid (SRF) and pigment epithelial detachment (PED).

methodsThis prospective study included eyes with nAMD previously treated with as-needed anti-VEGF injections. The patients were treated with six monthly intravitreal injections of ranibizumab. Quantitative volumetric segmentation analyses of the SRF and PED were performed. The main outcome measures included best-corrected visual acuity (BCVA), and SRF and PED volumes.

resultsTwenty eyes of 20 patients were included in this study. At the 6-month follow-up, BCVA and PED volume did not change significantly (

conclusionQuantifying the SRF can precisely determine the patient's responsiveness to anti-VEGF treatment of nAMD.

Indexed as

anti-vascular endothelial growth factor treatmentdrug toleranceneovascular age-related macular degenerationpersistent subretinal fluidvolumetric fluid analysis

Identifiers

PMID37332546
PMCPMC10250951
OpenAlexW4381158147

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.