Evidence map›Paper›PMID 30208417›Full record

ArticleInvestigative ophthalmology & visual science2018

IOP, IOP Transient Impulse, Ocular Perfusion Pressure, and Mean Arterial Pressure Relationships in Nonhuman Primates Instrumented With Telemetry.

John E Markert, Jessica V Jasien, Daniel C Turner, Carrie Huisingh, Christopher A Girkin, J Crawford Downs

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Considerations and implications of currentFrontiers in cell and developmental biology · 2025
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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

6 authors at 1 institution in 1 country.

John E MarkertDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Jessica V JasienVision Science Graduate Program, School of Optometry, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Daniel C TurnerVision Science Graduate Program, School of Optometry, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Carrie HuisinghDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Christopher A GirkinDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
J Crawford DownsDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
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 P30 EY003039NEI NIH HHS R01 EY024732NEI NIH HHS R01 EY026035
6 · The paper itself

Abstract

Purpose: To characterize relationships between intraocular pressure (IOP), mean arterial pressure (MAP), ocular perfusion pressure (OPP), IOP transient impulse, and IOP baseline impulse using continuous telemetry in nonhuman primates. Methods: We used our validated implantable telemetry system to wirelessly record bilateral IOP and arterial BP at 500 Hz in 7 eyes of 4 male rhesus macaques, aged 4 to 5 years. IOP, MAP, OPP, IOP transient impulse, and IOP baseline impulse were averaged into 1-hour periods over 20 days for each NHP. IOP transient impulse was defined as the portion of total IOP due to transient IOP fluctuations <0.5 seconds duration alone and IOP baseline impulse as the remaining area under the IOP versus time curve. OPP was defined as arterial BP-IOP (calculated continuously), and MAP was the hourly average of the continuous BP curve. Relationships between the variables were analyzed for each 24-hour period using either multivariate linear regression or Spearman Correlation Coefficients as appropriate. Results: Over twenty 24-hour periods, IOP transient impulse and OPP showed significant positive relationship in all eyes, which was driven largely by the data during waking hours. There was no significant relationship between IOP and MAP, IOP transient impulse and MAP, or IOP baseline impulse and IOP transient impulse. Conclusions: There are significant positive relationships between the frequency and/or size of transient IOP fluctuations (IOP transient impulse) and OPP. A possible explanation of this finding is that higher OPP, as well as a greater number of blinks and saccades (the primary sources of IOP transients), are associated with increased activity.

Indexed as

AnimalsArterial PressureBlood Flow VelocityBlood PressureIntraocular PressureMacaca mulattaMaleOptic DiskRegional Blood FlowTelemetryTonometry, Ocular

Identifiers

PMID30208417
PMCPMC6133237
OpenAlexW2891755254

What OpenQuestion holds

Textmetadata
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.