Evidence map›Paper›PMID 27450911›Full record

ReviewExperimental eye research2017

Model systems for the study of steroid-induced IOP elevation.

Ilya Rybkin, Rosana Gerometta, Gabrielle Fridman, Oscar Candia, John Danias

Abstract readReview
In one paragraph

Review in Experimental eye research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Evaluation of the iFalconBMC veterinary research · 2026
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  6. Review
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  13. Effect of αvβ3 Integrin Expression and Activity on Intraocular Pressure.Investigative ophthalmology & visual science · 2019
    Article
  14. Article
  15. 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

5 authors.

Ilya RybkinDepartment of Cell Biology, SUNY Downstate, NY, USA.
Rosana GeromettaDepartamento de Oftalmologia, Facultad de Medicina, Universidad Nacional del Nordeste, Corrientes, Argentina; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gabrielle FridmanDepartment of Cell Biology, SUNY Downstate, NY, USA.
Oscar CandiaDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John DaniasDepartment of Cell Biology, SUNY Downstate, NY, USA; Department of Ophthalmology, SUNY Downstate, NY, USA. Electronic address: john.danias@downstate.edu.

Funding

tPA mechanisms in outflow facility regulation in glaucomaR01EY025543 · NEI · SUNY DOWNSTATE MEDICAL CENTER · PI DANIAS, JOHN · 2015 to 2019
$1.8M
NEI NIH HHS R01 EY025543
6 · The paper itself

Abstract

Steroid-induced IOP elevation affects a significant number of patients. It results from a decrease in outflow facility of the aqueous humor. To understand the pathophysiology of this condition a number of model systems have been created. These include ex-vivo cell and organ cultures as well as in-vivo animal models in organisms ranging from rodents to primates. These model systems can be used to investigate specific aspects of steroid-induced IOP elevation. This brief review summarizes the strengths and limitations of the various model systems and provides examples of where these systems have been successfully used to advance our understanding of steroid-induced IOP elevation.

Indexed as

Disease Models, AnimalAnimalsCell Culture TechniquesDexamethasoneGlaucomaGlucocorticoidsHumansIntraocular PressureOcular HypertensionOrgan Culture TechniquesTrabecular MeshworkTriamcinolone AcetonideDexamethasoneGlucocorticoidsTriamcinolone AcetonideGlaucomaIntraocular pressureModelSteroids

Identifiers

PMID27450911
PMCPMC5250614

What OpenQuestion holds

Textmetadata
LicenceTDM
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.