Evidence map›Paper›PMID 34942107›Full record

ArticleAmerican journal of ophthalmology2022

Association Between Fluid Volume in Inner Nuclear Layer and Visual Acuity in Diabetic Macular Edema.

Kotaro Tsuboi, Qi Sheng You, Yukun Guo, Jie Wang, Christina J Flaxel, Steven T Bailey, David Huang, Yali Jia, Thomas S Hwang

Abstract read
In one paragraph

Article in American journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Anti-VEGF therapy for the long-term management of diabetic macular edema: a treat-to-target strategy based on macular morphology.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Review
  7. Article
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  11. Observational
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  13. Article
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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

9 authors.

Kotaro TsuboiFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA.
Qi Sheng YouFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA; Kresge Eye Institute (Q.S.Y.), Detroit Medical Center, Wayne State University, Detroit, Michigan, USA.
Yukun GuoFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA.
Jie WangFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA; Department of Biomedical Engineering (J.W., Y.J.), Oregon Health & Science University, Portland, Oregon, USA.
Christina J FlaxelFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA.
Steven T BaileyFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA.
David HuangFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA.
Yali JiaFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA; Department of Biomedical Engineering (J.W., Y.J.), Oregon Health & Science University, Portland, Oregon, USA.
Thomas S HwangFrom the Casey Eye Institute (K.T., Q.S.Y., Y.G., J.W., C.J.F., S.T.B., D.H., Y.J., T.S.H.), Oregon Health and Science University, Portland, Oregon, USA. Electronic address: hwangt@ohsu.edu.

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
OCT Angiography for Neovascular Age-related Macular DegenerationR01EY024544 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Steven T Bailey, Yali Jia · 2014 to 2026
$6.2M
OCTA Precursors of Vision-Threatening Complications of Diabetic RetinopathyR01EY035410 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Thomas Hwang, Yali Jia · 2023 to 2026
$2.5M
Wide-field and projection-resolved optical coherence tomography angiography in diabetic retinopathyR01EY027833 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HWANG, THOMAS, JIA, YALI · 2017 to 2020
$1.8M
NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY024544NEI NIH HHS R01 EY027833NEI NIH HHS R01 EY035410
6 · The paper itself

Abstract

purposeIn diabetic macular edema (DME), the correlation between visual acuity (VA) and central subfield thickness (CST) is weak. We hypothesize that fluid volume (FV) in the inner nuclear layer (INL) may correlate more strongly with VA.

designRetrospective, cross-sectional study.

methodsOne eye each of diabetic patients with DME was included. We measured intraretinal fluid volume that was detected by automated fluid detection algorithm on 3- × 3-mm optical coherence tomography angiogram volume scans. The detected fluid was subdivided into inner FV, bounded by the INL, and outer FV, the fluid between the outer border of INL to the ellipsoid zone.

resultsWe enrolled 125 patients with DME (60 women; mean age, 61 years). The mean detected inner FV was 0.013 mm

conclusionsThe inner FV has a stronger association with VA than other OCT biomarkers in DME and may be more clinically useful.

Indexed as

Diabetes MellitusDiabetic RetinopathyMacular EdemaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, Optical CoherenceVisual Acuity

Identifiers

PMID34942107
PMCPMC9035073

What OpenQuestion holds

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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.