Evidence map›Paper›PMID 33240571›Full record

ArticleTranslational vision science & technology2020

Quantification of Translaminar Pressure Gradient (TLPG) With Continuous Wireless Telemetry in Nonhuman Primates (NHPs).

Jessica V Jasien, Massimo A Fazio, Brian C Samuels, James M Johnston, J Crawford Downs

Open access · goldAbstract read
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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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Jessica V JasienVision Science Graduate Program, School of Optometry, The University of Alabama at Birmingham, Birmingham, AL, USA.
Massimo A FazioDepartment of Ophthalmology and Visual Sciences, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Brian C SamuelsDepartment of Ophthalmology and Visual Sciences, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
James M JohnstonDepartment of Neurosurgery, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
J Crawford DownsDepartment of Ophthalmology and Visual Sciences, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
University of Alabama at Birmingham · US

Funding

Visual Phenotyping CoreP30EY003039 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAWRENCE C SINCICH · 1985 to 2026
$16.9M
IOP and OPP Fluctuation as Risk Factors for GlaucomaR01EY026035 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI J CRAWFORD DOWNS · 2016 to 2026
$5.2M
IOP and OPP Fluctuation as Risk Factors for GlaucomaR01EY024732 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DOWNS, J CRAWFORD · 2015 to 2017
$820k
NEI NIH HHS R01 EY024732NEI NIH HHS R01 EY026035
6 · The paper itself

Abstract

Purpose: Recent retrospective clinical and animal studies suggest that cerebrospinal fluid pressure (CSFP) is important in glaucoma pathogenesis. Intraocular pressure (IOP) and CSFP are the driving components of translaminar pressure (TLP = IOP - CSFP), which acts across the lamina cribrosa (LC) thickness to create the translaminar pressure gradient (TLPG = TLP/LC thickness). Methods: We developed an implantable wireless telemetry system based on a small piezoelectric sensor with low temporal drift. IOP, measured in the anterior chamber, and intracranial pressure (ICP), measured in the brain parenchyma (as a surrogate for CSFP) were measured at 200 Hz in three male rhesus macaques (nonhuman primates, NHPs) on a 10% duty cycle (15 seconds of every 150-second period). Three-dimensional LC thickness was autosegmented as the mean thickness of the visible hyperreflective band in 48 radial spectral-domain optical coherence tomography b-scans centered on the optic nerve head. Results: Results indicated the rank order of IOP, ICP, TLP, and TLPG for waking, sleeping, and 24-hour periods averaged across all days. NHP 150110 had the highest IOP and ICP in all periods; however, it had the lowest TLPG in all periods due to its relatively thick LC. The other two NHPs showed similar shifts in the rank order of possible glaucoma risk factors. Conclusions: IOP is the only modifiable and readily measurable pressure-based risk factor for glaucoma. However, other potential risk factors such as ICP, TLP, and TLPG, as well as their rank-order patterns, differed compared to IOP across subjects, demonstrating that a comprehensive view of relevant risk factors is warranted. Translational Relevance: Future studies should consider including CSFP, TLP, and TLPG in addition to IOP as potential risk factors when assessing eye-specific glaucoma susceptibility.

Indexed as

Intraocular PressureTonometry, OcularAnimalsMacaca mulattaMaleRetrospective StudiesTelemetryintracranial pressureintraocular pressurenonhuman primatetranslaminar pressuretranslaminar pressure gradient

Identifiers

PMID33240571
PMCPMC7671865
OpenAlexW3103552922

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.