Evidence map›Paper›PMID 34102157›Full record

ArticleAmerican journal of ophthalmology2021

Hemiretinal Asymmetry in Peripapillary Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes.

Kendra L Hong, Bruce Burkemper, Anna L Urrea, Brenda R Chang, Jae C Lee, Vivian H LeTran, Zhongdi Chu, Xiao Zhou, Benjamin Y Xu, Brandon J Wong and 5 more

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In one paragraph

Article in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Abilities of circumpapillary retinal nerve fiber layer thickness and vascular density to discriminate stages in primary open-angle glaucoma.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  7. Cytomegalovirus-positive Posner-Schlossman syndrome: to compare differences in retinal vessel area density between the affected and non-affected eye using optical coherence tomography angiography.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Observational
  8. Article
  9. Review
  10. Article
  11. 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

15 authors.

Kendra L HongFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Bruce BurkemperFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Anna L UrreaFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Brenda R ChangFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Jae C LeeFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Vivian H LeTranFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington, USA (Z.C., X.Z., R.K.W.).
Xiao ZhouDepartment of Bioengineering, University of Washington, Seattle, Washington, USA (Z.C., X.Z., R.K.W.).
Benjamin Y XuFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Brandon J WongFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Brian J SongFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Xuejuan JiangFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.).
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA (Z.C., X.Z., R.K.W.).
Rohit VarmaSouthern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, California, USA (R.V.).
Grace M RichterFrom the Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA (K.L.H., B.B., A.L.U., B.R.C., J.C.L., V.H.L., B.Y.X., B.J.W., B.J.S., X.J., G.M.R.). Electronic address: grichter@usc.edu.

Funding

African American Eye Disease StudyU10EY023575 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VARMA, ROHIT · 2013 to 2017
$12.1M
Ultra-wide field optical coherence tomography based angiography for imaging diabetic retinopathyR01EY028753 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2018 to 2021
$2.2M
Development and Validation of Quantitative Anterior Segment OCT-based Methods to Evaluate Patients with Primary Angle Closure DiseaseK23EY029763 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI XU, BENJAMIN Y. · 2019 to 2023
$1.1M
Defining the Relationships of Retinal Microcirculation with Glaucoma, Systemic Disease, and Ocular Anatomic Factors in African AmericansK23EY027855 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RICHTER, GRACE MARIE · 2017 to 2021
$984k
NEI NIH HHS K23 EY027855NEI NIH HHS K23 EY029763NEI NIH HHS L30 EY027140NEI NIH HHS R01 EY028753NEI NIH HHS U10 EY023575
6 · The paper itself

Abstract

purposeTo investigate hemiretinal asymmetry in radial peripapillary capillary vessel area density (VAD) of healthy, glaucoma suspect, and glaucoma eyes of varying severity and its diagnostic utility for glaucoma.

designPopulation-based, cross-sectional study.

methodsOptic disc scans (6 × 6 mm) were collected on optical coherence tomography angiography (OCTA) to obtain VAD and on optical coherence tomography (OCT) to measure circumpapillary retinal nerve fiber layer (RNFL) thickness. Hemiretinal difference in VAD (hdVAD) was defined as the absolute difference between superior and inferior hemiretinal VAD. Age-adjusted multivariable linear regression of hdVAD on glaucoma severity was performed. Areas under curves (AUCs) were calculated from predicted probabilities generated by multiple logistic regression of glaucoma severity on age-adjusted single and combined parameters.

resultsA total of 1,043 eyes of 1,043 participants (587 healthy, 270 suspect, 67 mild, 54 moderate, 65 severe glaucoma) were included. After age adjustment, mean hdVAD was similar between healthy and suspect (P = .225), higher in mild vs suspect (P < .001), and higher in moderate vs mild (P = .018), but lower in severe vs moderate (P = .001). AUCs of hdVAD were highest for discriminating mild (0.685) and moderate (0.681) glaucoma from healthy. Combining hdVAD and global RNFL (gRNFL) yielded the highest AUCs of all parameters for mild (0.818) and any POAG (0.859) and resulted in significantly better diagnostic accuracy than either hdVAD or gRNFL alone (P < .05 for all comparisons).

conclusionshdVAD is higher in early glaucoma and may help with early detection when damage is focal, but its diagnostic ability appears less robust in advanced glaucoma when damage is diffuse.

Indexed as

GlaucomaGlaucoma, Open-AngleCross-Sectional StudiesHumansIntraocular PressureNerve FibersRetinal Ganglion CellsRetinal VesselsTomography, Optical CoherenceVisual Fields

Identifiers

PMID34102157
PMCPMC8599609

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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.