Evidence map›Paper›PMID 32581390›Full record

SynthesisEye (London, England)2021

Assessment of retinal neurodegeneration with spectral-domain optical coherence tomography: a systematic review and meta-analysis.

Ziqi Tang, Ming Yan Chan, Wai Yin Leung, Ho Yeung Wong, Ching Man Ng, Victor T T Chan, Raymond Wong, Jerry Lok, Simon Szeto, Jason C K Chan and 3 more

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Eye (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Systemic Diseases and the Eye: A Translational Perspective on Diabetes.Chronic diseases and translational medicine · 2026
    Review
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  7. Observational
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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

13 authors at 2 institutions in 3 countries.

Ziqi Tang *Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID http://orcid.org/0000-0002-4728-0076
Ming Yan Chan *Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Wai Yin LeungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Ho Yeung WongDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Ching Man NgDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Victor T T ChanDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Raymond WongDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Jerry LokDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Simon SzetoDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Jason C K ChanDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Clement C ThamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID http://orcid.org/0000-0003-4407-6907
Tien Y WongSingapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.
Carol Y CheungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China. carolcheung@cuhk.edu.hk.
Chinese University of Hong Kong · HKSingapore National Eye Center · SG

Funding

Chinese University of Hong Kong (CUHK) No. 2017.054
6 · The paper itself

Abstract

objectivesTo comprehensively assess diabetic retinopathy neurodegeneration (DRN) as quantified by retinal neuronal and axonal layers measured with spectral-domain optical coherence tomography (SD-OCT) in subjects with diabetes mellitus (DM).

methodsArticles on the topic of examining macular ganglion cell-inner plexiform layer (m-GCIPL), macular retinal nerve fibre layer (m-RNFL), macular ganglion cell complex (m-GCC), and peripapillary RNFL (p-RNFL) measured with SD-OCT in DM subjects without DR (NDR) or with non-proliferative DR (NPDR) were searched in PubMed and Embase up to November 31, 2019. Standardized mean difference (SMD) as effect size were pooled using random-effects model.

resultsThirty-six studies searched from online databases and the CUHK DM cohort were included in the meta-analysis. In the comparison between NDR and control, macular measures including mean m-GCIPL (SMD = -0.26, p = 0.003), m-RNFL (SMD = -0.26, p = 0.046), and m-GCC (SMD = -0.28; p = 0.009) were significantly thinner in the NDR group. In the comparison between NPDR and NDR, only mean p-RNFL was significantly thinner in the NPDR group (SMD = -0.27; p = 0.03), but not other macular measures.

conclusionsThinning of retinal neuronal and axonal layers at macula as measured by SD-OCT are presented in eyes with NDR, supporting DRN may be the early pathogenesis in the DM patients without the presence of clinical signs of DR. In the future, these SD-OCT measures may be used as surrogates of DRN to stratify DM patients with a high risk of DR, and may be used as a therapeutic target if neuroprotection treatment for DR is available.

Indexed as

Macula LuteaTomography, Optical CoherenceHumansNerve FibersRetinaRetinal Ganglion Cells

Identifiers

PMID32581390
PMCPMC8182828
OpenAlexW3037505593

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.