Evidence map›Paper›PMID 33262420›Full record

ArticleScientific reports2020

Comparison of extraocular and intraocular pressure transducers for measurement of transient intraocular pressure fluctuations using continuous wireless telemetry.

Jessica V Jasien, Ye Emma Zohner, Sonia Kuhn Asif, Lindsay A Rhodes, Brian C Samuels, Christopher A Girkin, Jeffrey S Morris, J Crawford Downs

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 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
–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

5 citing papers in PubMed.

  1. 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

8 authors.

Jessica V JasienVision Science Graduate Program, School of Optometry, University of Alabama at Birmingham, Birmingham, USA.
Ye Emma ZohnerRice University, Houston, TX, USA.
Sonia Kuhn AsifDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, VH 390B | 1670 University Blvd., Birmingham, AL, 35294, USA.
Lindsay A RhodesDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, VH 390B | 1670 University Blvd., Birmingham, AL, 35294, USA.
Brian C SamuelsDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, VH 390B | 1670 University Blvd., Birmingham, AL, 35294, USA.
Christopher A GirkinDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, VH 390B | 1670 University Blvd., Birmingham, AL, 35294, USA.
Jeffrey S MorrisPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
J Crawford DownsDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, VH 390B | 1670 University Blvd., Birmingham, AL, 35294, USA. cdowns@uab.edu.

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
Bayesian methods for complex, high-dimensional functional data in cancer researchR01CA178744 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORRIS, JEFFREY S · 2015 to 2019
$1.7M
IOP and OPP Fluctuation as Risk Factors for GlaucomaR01EY024732 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DOWNS, J CRAWFORD · 2015 to 2017
$820k
NCI NIH HHS R01 CA178744NEI NIH HHS P30 EY003039NEI NIH HHS P30-EY003039NEI NIH HHS R01 EY024732NEI NIH HHS R01 EY026035NIH HHS R01-EY024732
6 · The paper itself

Abstract

The optimal approach for continuous measurement of intraocular pressure (IOP), including pressure transducer location and measurement frequency, is currently unknown. This study assessed the capability of extraocular (EO) and intraocular (IO) pressure transducers, using different IOP sampling rates and duty cycles, to characterize IOP dynamics. Transient IOP fluctuations were measured and quantified in 7 eyes of 4 male rhesus macaques (NHPs) using the Konigsberg EO system (continuous at 500 Hz), 12 eyes of 8 NHPs with the Stellar EO system and 16 eyes of 12 NHPs with the Stellar IO system (both measure at 200 Hz for 15 s of every 150 s period). IOP transducers were calibrated bi-weekly via anterior chamber manometry. Linear mixed effects models assessed the differences in the hourly transient IOP impulse, and transient IOP fluctuation frequency and magnitude between systems and transducer placements (EO versus IO). All systems measured 8000-12,000 and 5000-6500 transient IOP fluctuations per hour > 0.6 mmHg, representing 8-16% and 4-8% of the total IOP energy the eye must withstand during waking and sleeping hours, respectively. Differences between sampling frequency/duty cycle and transducer placement were statistically significant (p < 0.05) but the effect sizes were small and clinically insignificant. IOP dynamics can be accurately captured by sampling IOP at 200 Hz on a 10% duty cycle using either IO or EO transducers.

Indexed as

Intraocular PressureTransducers, PressureAnimalsFemaleHumansMacaca mulattaMaleModels, AnimalRadio WavesTelemetry

Identifiers

PMID33262420
PMCPMC7708973

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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.