Evidence map›Paper›PMID 27525110›Full record

ReviewJournal of ophthalmology2016

The Application of a Contact Lens Sensor in Detecting 24-Hour Intraocular Pressure-Related Patterns.

Sarah C Xu, Angela C Gauthier, Ji Liu

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05940623 (Impact of Home Intraocular Pressure Telemonitoring on Intraocular Pressure Control and Glaucoma Progression - A Randomized Control Trial), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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.

NCT05940623 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Impact of Home Intraocular Pressure Telemonitoring on Intraocular Pressure Control and Glaucoma Progression - A Randomized Control Trial

TypeinterventionalSponsorThe University of Hong KongRan2023 to 2025Enrolled142ConditionsGlaucoma, Intraocular Pressure, Primary Open Angle GlaucomaArmsStandard care and home IOP telemonitoring with smart phone-based intervention
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
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

3 authors at 2 institutions in 1 country.

Sarah C XuDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Ophthalmology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-0006-3848
Angela C GauthierDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0002-2392-8974
Ji LiuDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0003-1240-7046
Yale University · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glaucoma is one of the leading causes of blindness worldwide. Recent studies suggest that intraocular pressure (IOP) fluctuations, peaks, and rhythm are important factors in disease advancement. Yet, current glaucoma management remains hinged on single IOP measurements during clinic hours. To overcome this limitation, 24-hour IOP monitoring devices have been employed and include self-tonometry, permanent IOP, and temporary IOP monitoring. This review discusses each IOP measuring strategy and focuses on the recently FDA-approved contact lens sensor (CLS). The CLS records IOP-related ocular patterns for 24 hours continuously. Using the CLS, IOP-related parameters have been found to be associated with the rate of visual field progression in primary open-angle glaucoma, disease progression in primary angle-closure glaucoma, and various clinical variables in ocular hypertension. The CLS has been used to quantify blink rate and limbal strain and measure the circadian rhythm in a variety of disease states including normal-tension glaucoma and thyroid eye disease. The effects of various IOP-lowering interventions were also characterized using the CLS. CLS provides a unique, safe, and well-tolerated way to study IOP-related patterns in a wide range of disease states. IOP-related patterns may help identify patients most at risk for disease progression and assist with the development of tailored treatments.

Identifiers

PMID27525110
PMCPMC4976175
OpenAlexW2488856460

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.