Evidence map›Paper›PMID 40757884›Full record

ArticleActa ophthalmologica2026

SD-OCT-based biomarkers in predicting treatment outcomes of macular oedema secondary to retinal vein occlusion treated with anti-VEGF therapy.

Ken K Tsang, Vivian W K Hui, Christopher M K Pang, Ziqi Tang, Dawei Yang, Truong X Nguyen, Shaheeda Mohamed, Timothy Y Y Lai, Carol Y Cheung, Simon K H Szeto

Abstract read
In one paragraph

Article in Acta ophthalmologica, 2026. 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
–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

4 citing papers in PubMed.

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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

10 authors.

Ken K TsangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0002-3724-694X
Vivian W K HuiDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Christopher M K PangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Ziqi TangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0002-4728-0076
Dawei YangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0003-4826-9060
Truong X NguyenDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0002-8505-6593
Shaheeda MohamedDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Timothy Y Y LaiDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0002-7832-6428
Carol Y CheungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0002-9672-1819
Simon K H SzetoDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID https://orcid.org/0000-0001-9377-7377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the role of spectral domain optical coherence tomography (SD-OCT)-based biomarkers in predicting treatment response of macular oedema (MO) secondary to retinal vein occlusion (RVO) to anti-vascular endothelial growth factor (VEGF) therapy.

methodsRetrospective cohort study including consecutive cases of RVO associated MO who received anti-VEGF injections between January 2020 and April 2021. LogMAR visual acuity (VA) at baseline, 12 and 24 months was correlated with a panel of SD-OCT-based biomarkers, including vitreomacular status, size of intra-retinal cysts (IRC), presence of disorganization of retinal inner layers (DRIL), hyper-reflective foci (HRF) in the retina, integrity of the external limiting membrane (ELM), ellipsoid zone (EZ), cone outer segment tip (COST) and presence of subretinal fluid (SRF).

resultsOne hundred and thirty eyes were included with 81 and 49 eyes in the BRVO and CRVO subgroup, respectively. In both subgroups, baseline disrupted EZ/ELM [BRVO: (β = 0.144 p = 0.008; β = 0.111 p = 0.014; β = 0.096 p = 0.042) and CRVO: (β = 0.316 p < 0.001; β = 0.336 p < 0.001; β = 0.327 p < 0.001)] were associated with worse VA from baseline through 24 months. In the BRVO subgroup, the presence of HRF (β = 0.209 p < 0.001) correlated with worse baseline VA. Improvement in DRIL extent [OR = 4.355 (1.109-17.094) p = 0.035; OR = 4.510 (1.707-11.917) p = 0.002] and EZ/ELM integrity [OR = 4.474 (1.783-11.223) p = 0.001; OR = 3.214 (1.414-7.305) p = 0.005] were associated with a higher likelihood of achieving at least a 5 letters gain at 12 and 24 months.

conclusionA comprehensive system of SD-OCT-based features could predict functional outcomes of MO secondary to RVO with anti-VEGF therapy up to 24 months.

Indexed as

BevacizumabMacular EdemaRanibizumabRetinal Vein OcclusionTomography, Optical CoherenceVisual AcuityAgedAngiogenesis InhibitorsBiomarkersFemaleFluorescein AngiographyFollow-Up StudiesFundus OculiHumansIntravitreal InjectionsMacula LuteaAngiogenesis InhibitorsBevacizumabBiomarkersRanibizumabVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID40757884
PMCPMC12888950

What Socratic holds

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LicenceCC BY
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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 Socratic graph.