Evidence map›Paper›PMID 26949939›Full record

ArticlePloS one2016

Measurement of Outflow Facility Using iPerfusion.

Joseph M Sherwood, Ester Reina-Torres, Jacques A Bertrand, Barnaby Rowe, Darryl R Overby

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07425496 (Dynamic Ocular Tonometry Study During Intraocular Surgery), which is not on this map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
9.7field-weighted citation impact, top 2% 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.

NCT07425496 recruitingnot on this mapstarted 2025, after this paper: background citation

Dynamic Ocular Tonometry Study During Intraocular Surgery

TypeobservationalSponsorThe New York Eye & Ear InfirmaryRan2025 to 2028Enrolled150ConditionsCataract, GlaucomaArmsdisposable Deltran I pressure sensor
3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 115 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. TRPV4 and chloride channels mediate volume sensing in trabecular meshwork cells.American journal of physiology. Cell physiology · 2024
    Article
  17. bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Modeling complex age-related eye disease.Progress in retinal and eye research · 2024
    Review
  20. Influence of Growth Differentiation Factor 15 on Intraocular Pressure in Mice.Laboratory investigation; a journal of technical methods and pathology · 2024
    Article

26 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Joseph M SherwoodDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.
Ester Reina-TorresDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.
Jacques A BertrandDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.
Barnaby RoweDepartment of Physics and Astronomy, Faculty of Mathematical and Physical Sciences, University College London, London, United Kingdom.
Darryl R OverbyDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.
Imperial College London · GBUniversity College London · GB

Funding

eNOS-Dependent Mechanoregulation of Intraocular PressureR01EY022359 · NEI · DUKE UNIVERSITY · PI STAMER, W DANIEL · 2012 to 2025
$5.6M
NEI NIH HHS 1 R01 EY022359-01NEI NIH HHS R01 EY022359
6 · The paper itself

Abstract

Elevated intraocular pressure (IOP) is the predominant risk factor for glaucoma, and reducing IOP is the only successful strategy to prevent further glaucomatous vision loss. IOP is determined by the balance between the rates of aqueous humour secretion and outflow, and a pathological reduction in the hydraulic conductance of outflow, known as outflow facility, is responsible for IOP elevation in glaucoma. Mouse models are often used to investigate the mechanisms controlling outflow facility, but the diminutive size of the mouse eye makes measurement of outflow technically challenging. In this study, we present a new approach to measure and analyse outflow facility using iPerfusion™, which incorporates an actuated pressure reservoir, thermal flow sensor, differential pressure measurement and an automated computerised interface. In enucleated eyes from C57BL/6J mice, the flow-pressure relationship is highly non-linear and is well represented by an empirical power law model that describes the pressure dependence of outflow facility. At zero pressure, the measured flow is indistinguishable from zero, confirming the absence of any significant pressure independent flow in enucleated eyes. Comparison with the commonly used 2-parameter linear outflow model reveals that inappropriate application of a linear fit to a non-linear flow-pressure relationship introduces considerable errors in the estimation of outflow facility and leads to the false impression of pressure-independent outflow. Data from a population of enucleated eyes from C57BL/6J mice show that outflow facility is best described by a lognormal distribution, with 6-fold variability between individuals, but with relatively tight correlation of facility between fellow eyes. iPerfusion represents a platform technology to accurately and robustly characterise the flow-pressure relationship in enucleated mouse eyes for the purpose of glaucoma research and with minor modifications, may be applied in vivo to mice, as well as to eyes from other species or different biofluidic systems.

Indexed as

AnimalsGlaucomaIntraocular PressureLinear ModelsMaleMiceMice, Inbred C57BLPerfusion

Identifiers

PMID26949939
PMCPMC4780770
OpenAlexW2293614498

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.