Evidence map›Paper›PMID 28078170›Full record

ArticleBiomedical optics express2016

Computational fluid dynamics assisted characterization of parafoveal hemodynamics in normal and diabetic eyes using adaptive optics scanning laser ophthalmoscopy.

Yang Lu, Miguel O Bernabeu, Jan Lammer, Charles C Cai, Martin L Jones, Claudio A Franco, Lloyd Paul Aiello, Jennifer K Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Adaptive optics imaging of the human retina.Progress in retinal and eye research · 2019
    Review
  7. Article
  8. NoninvasiveBiomedical optics express · 2018
    Article
  9. Article
  10. Article
  11. Review
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.

Yang LuBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Equally contributing first authors.
Miguel O BernabeuCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK; Equally contributing first authors.
Jan LammerDepartment of Ophthalmology and Optometry, Medical University Vienna, Vienna, Austria.
Charles C CaiBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA.
Martin L JonesElectron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
Claudio A FrancoInstituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
Lloyd Paul AielloBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA; Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Jennifer K SunBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA; Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Predicting Outcomes & Anti-VEGF Response in Diabetic Eyes by Adaptive Optics SLOR01EY024702 · NEI · JOSLIN DIABETES CENTER · PI SUN, JENNIFER KATHERINE · 2014 to 2018
$1.7M
NEI NIH HHS R01 EY024702NIDDK NIH HHS P30 DK036836
6 · The paper itself

Abstract

Diabetic retinopathy (DR) is the leading cause of visual loss in working-age adults worldwide. Previous studies have found hemodynamic changes in the diabetic eyes, which precede clinically evident pathological alterations of the retinal microvasculature. There is a pressing need for new methods to allow greater understanding of these early hemodynamic changes that occur in DR. In this study, we propose a noninvasive method for the assessment of hemodynamics around the fovea (a region of the eye of paramount importance for vision). The proposed methodology combines adaptive optics scanning laser ophthalmoscopy and computational fluid dynamics modeling. We compare results obtained with this technique with in vivo measurements of blood flow based on blood cell aggregation tracking. Our results suggest that parafoveal hemodynamics, such as capillary velocity, wall shear stress, and capillary perfusion pressure can be noninvasively and reliably characterized with this method in both healthy and diabetic retinopathy patients.

Indexed as

(110.1080) Active or adaptive optics(170.4460) Ophthalmic optics and devices(330.4060) Vision modeling(330.4300) Vision system - noninvasive assessment

Identifiers

PMID28078170
PMCPMC5175544

What OpenQuestion holds

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Registered trials

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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.