Evidence map›Paper›PMID 26048475›Full record

ReviewExperimental eye research2015

In vivo imaging methods to assess glaucomatous optic neuropathy.

Brad Fortune

Abstract readReview
In one paragraph

Review in Experimental eye research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Evaluating glaucomatous abnormality in peripapillary optical coherence tomography enface visualisation of the retinal nerve fibre layer reflectance.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2018
    Article
  9. Article
  10. Article
  11. Whole-globe biomechanics using high-field MRI.Experimental eye research · 2017
    Article
  12. Article
  13. 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

1 author at 1 institution in 1 country.

Brad FortuneDiscoveries in Sight Research Laboratories, Devers Eye Institute and Legacy Research Institute, Legacy Health, 1225 NE Second Avenue, Portland, OR 97232, USA. Electronic address: bfortune@deverseye.org.
Legacy Health · US

Funding

Axonal cytoskeletal changes in experimental glaucomaR01EY019327 · NEI · LEGACY EMANUEL HOSPITAL AND HEALTH CENTER · PI FORTUNE, BRAD · 2009 to 2014
$1.7M
NEI NIH HHS R01 EY019327NEI NIH HHS R01-EY019327
6 · The paper itself

Abstract

The goal of this review is to summarize the most common imaging methods currently applied for in vivo assessment of ocular structure in animal models of experimental glaucoma with an emphasis on translational relevance to clinical studies of the human disease. The most common techniques in current use include optical coherence tomography and scanning laser ophthalmoscopy. In reviewing the application of these and other imaging modalities to study glaucomatous optic neuropathy, this article is organized into three major sections: 1) imaging the optic nerve head, 2) imaging the retinal nerve fiber layer and 3) imaging retinal ganglion cell soma and dendrites. The article concludes with a brief section on possible future directions.

Indexed as

AnimalsDiagnostic ImagingGlaucomaHumansNerve FibersOptic DiskOptic Nerve DiseasesRetinal Ganglion CellsAdaptive opticsExperimental modelsGlaucomaOptical coherence tomographyOptic nerveRetinal ganglion cellsRetinal nerve fiber layerScanning laser ophthalmoscopyScanning laser polarimetry

Identifiers

PMID26048475
PMCPMC4628854
OpenAlexW2204254189

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.