Evidence map›Paper›PMID 32879779›Full record

ArticleTranslational vision science & technology2020

Norms of Interocular Circumpapillary Retinal Nerve Fiber Layer Thickness Differences at 768 Retinal Locations.

Neda Baniasadi, Franziska G Rauscher, Dian Li, Mengyu Wang, Eun Young Choi, Hui Wang, Thomas Peschel, Kerstin Wirkner, Toralf Kirsten, Joachim Thiery and 3 more

Abstract read
In one paragraph

Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Cohort Profile: The LIFE-Adult-Study.International journal of epidemiology · 2023
    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

13 authors.

Neda BaniasadiLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Franziska G RauscherLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Dian LiLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Mengyu WangLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Eun Young ChoiLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Hui WangLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Thomas PeschelInstitute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Leipzig, Germany.
Kerstin WirknerLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Toralf KirstenLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Joachim ThieryLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Christoph EngelLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Markus LoefflerLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.
Tobias ElzeLeipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany.

Funding

VISION RESEARCHP30EY003790 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Sunil K Chauhan · 1985 to 2026
$25.5M
Personalizing Glaucoma Diagnosis by Disease Specific Patterns and Individual Eye AnatomyR01EY030575 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI ELZE, TOBIAS · 2019 to 2023
$2.4M
Associating retinal nerve fiber layer thickness with glucose metabolism and diabetic retinopathyR21EY030631 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI ELZE, TOBIAS · 2019 to 2020
$554k
Improved Glaucoma Monitoring Using Artificial-Intelligence Enabled DashboardR21EY031725 · NEI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI YOUSEFI, SIAMAK · 2020 to 2022
$545k
A hybrid artificial intelligence framework for glaucoma monitoringR21EY030142 · NEI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI ELZE, TOBIAS, YOUSEFI, SIAMAK · 2019 to 2020
$499k
Relationship between Glaucoma and the Three-Dimensional Optic Nerve Head Related StructureK99EY028631 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI WANG, MENGYU · 2019 to 2020
$293k
NEI NIH HHS K99 EY028631NEI NIH HHS P30 EY003790NEI NIH HHS R01 EY030575NEI NIH HHS R21 EY030142NEI NIH HHS R21 EY030631NEI NIH HHS R21 EY031725
6 · The paper itself

Abstract

Purpose: The onset and progression of optic neuropathies like glaucoma often occurs asymmetrically between the two eyes of a patient. Interocular circumpapillary retinal nerve fiber layer thickness (cpRNFLT) differences could detect disease earlier. To apply such differences diagnostically, detailed location specific norms are necessary. Methods: Spectral-domain optical coherence tomography cpRNFLT circle scans from the population-based Leipzig Research Centre for Civilization Diseases-Adult study were selected. At each of the 768 radial scanning locations, normative interocular cpRNFLT difference distributions were calculated based on age and interocular radius difference. Results: A total of 8966 cpRNFLT scans of healthy eyes (4483 patients; 55% female; age range, 20-79 years) were selected. Global cpRNFLT average was 1.53 µm thicker in right eyes ( Conclusions: We provide pointwise normative distributions of interocular cpRNFLT differences at an unprecedentedly high spatial resolution of 768 A-scans and reveal considerable location specific asymmetries as well as their associations with age and scanning radius differences between eyes. Translational Relevance: To facilitate clinical application, we implement these age- and radius-specific norms across all 768 locations in an open-source software to generate patient-specific normative color plots.

Indexed as

Nerve FibersOptic DiskAdultAgedFemaleHumansMaleMiddle AgedRetinaRetinal Ganglion CellsTomography, Optical CoherenceYoung Adultasymmetryglaucomainterocularoptical coherence tomographyretinal nerve fiber layer thickness

Identifiers

PMID32879779
PMCPMC7442876

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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.