Evidence map›Paper›PMID 30539149›Full record

ArticleBMJ open ophthalmology2018

Assessing photoreceptor structure in patients with traumatic head injury.

Matthew E Braza, Jonathon Young, Thomas A Hammeke, Scott E Robison, Dennis P Han, Clinton C Warren, Joseph Carroll, Kimberly E Stepien

Open access · goldAbstract read
In one paragraph

Article in BMJ open ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Evaluation of commotio retinae in orbital fractures.Arquivos brasileiros de oftalmologia · 2022
    Article
  3. Article
  4. Novel Foveal Features Associated With Vision Impairment in Multiple Sclerosis.Investigative ophthalmology & visual science · 2021
    Article
  5. Review
  6. Article
  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

8 authors at 2 institutions in 1 country.

Matthew E BrazaDepartment of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Jonathon YoungDepartment of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Thomas A HammekeDepartment of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Scott E RobisonDepartment of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Dennis P HanDepartment of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Clinton C WarrenDepartment of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Joseph CarrollDepartment of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Kimberly E StepienDepartment of Ophthalmology and Visual Sciences, University of WI - Madison, Madison, Wisconsin, USA.
Medical College of Wisconsin · USUniversity of Wisconsin–Madison · US

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
MORPHOLOGY MODULEP30EY001931 · NEI · MEDICAL COLLEGE OF WISCONSIN · PI BURKE, JANICE M. · 1985 to 2016
$9.8M
Assessing Photoreceptor Structure and Function in Normal and Diseased RetinaeR01EY017607 · NEI · MEDICAL COLLEGE OF WISCONSIN · PI Joseph Carroll · 2008 to 2026
$8.3M
VISION RES LAB: HERPETIC KERATIC, CORE PIGMENT GENES, RETINITIS PIGMENTOSAC06RR016511 · NCRR · MEDICAL COLLEGE OF WISCONSIN · PI DUNN, MICHAEL J · 2002 to 2002
$1.4M
NCATS NIH HHS UL1 TR001436NCRR NIH HHS C06 RR016511NEI NIH HHS P30 EY001931NEI NIH HHS R01 EY017607
6 · The paper itself

Abstract

objectivePrevious work using adaptive optics scanning light ophthalmoscopy (AOSLO) imaging has shown photoreceptor disruption to be a common finding in head and ocular trauma patients. Here an expanded trauma population was examined using a novel imaging technique, split-detector AOSLO, to assess remnant cone structure in areas with significant disruption on confocal AOSLO imaging and to follow photoreceptor changes longitudinally. METHODS AND ANALYSIS: Eight eyes from seven subjects with head and/or ocular trauma underwent imaging with spectral domain optical coherence tomography, confocal AOSLO and split-detector AOSLO to assess foveal and parafoveal photoreceptor structure.

resultsConfocal AOSLO imaging revealed hyporeflective foveal regions in two of eight eyes. Split-detector imaging within the hyporeflective confocal areas showed both remnant and absent inner-segment structure. Both of these eyes were imaged longitudinally and showed variation of the photoreceptor mosaic over time. Four other eyes demonstrated subclinical regions of abnormal waveguiding photoreceptors on multimodal AOSLO imagery but were otherwise normal. Two eyes demonstrated normal foveal cone packing without disruption.

conclusionMultimodal imaging can detect subtle photoreceptor abnormalities not necessarily detected by conventional clinical imaging. The addition of split-detector AOSLO revealed the variable condition of inner segments within confocal photoreceptor disruption, confirming the usefulness of dual-modality AOSLO imaging in assessing photoreceptor structure and integrity. Longitudinal imaging demonstrated the dynamic nature of the photoreceptor mosaic after trauma. Multimodal imaging with dual-modality AOSLO improves understanding of visual symptoms and photoreceptor structure changes in patients with head and ocular trauma.

Indexed as

imagingmacularetinatrauma

Identifiers

PMID30539149
PMCPMC6257382
OpenAlexW2903100620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.