Evidence map›Paper›PMID 33306736›Full record

ArticlePloS one2020

Quantitative assessment of choriocapillaris flow deficits in diabetic retinopathy: A swept-source optical coherence tomography angiography study.

Yining Dai, Hao Zhou, Qinqin Zhang, Zhongdi Chu, Lisa C Olmos de Koo, Jennifer R Chao, Kasra A Rezaei, Steven S Saraf, Ruikang K Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Optical coherence tomography angiography in diabetic retinopathy.Progress in retinal and eye research · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
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

9 authors at 1 institution in 1 country.

Yining DaiDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Hao ZhouDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Qinqin ZhangDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Lisa C Olmos de KooDepartment of Ophthalmology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-8146-4653
Jennifer R ChaoDepartment of Ophthalmology, University of Washington, Seattle, Washington, United States of America.
Kasra A RezaeiDepartment of Ophthalmology, University of Washington, Seattle, Washington, United States of America.
Steven S SarafDepartment of Ophthalmology, University of Washington, Seattle, Washington, United States of America.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
University of Washington · US

Funding

Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) studyR01AG060942 · NIA · WASHINGTON UNIVERSITY · PI Cecilia Sungmin Lee · 2019 to 2026
$39.4M
Ultra-wide field optical coherence tomography based angiography for imaging diabetic retinopathyR01EY028753 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2018 to 2021
$2.2M
NEI NIH HHS R01 EY028753NIA NIH HHS R01 AG060942
6 · The paper itself

Abstract

purposeTo quantitatively assess choriocapillaris (CC) flow deficits in eyes with diabetic retinopathy (DR) using swept-source optical coherence tomography angiography (SS-OCTA).

methodsDiabetic subjects with different stages of DR and age-matched healthy subjects were recruited and imaged with SS-OCTA. The en face CC blood flow images were generated using previously published and validated algorithms. The percentage of CC flow deficits (FD%) and the mean CC flow deficit size were calculated in a 5-mm-diameter circle centered on the fovea from the 6×6-mm scans.

resultsForty-five diabetic subjects and 27 control subjects were included in the study. The CC FD% in diabetic eyes was on average 1.4-fold greater than in control eyes (12.34±4.14% vs 8.82±2.61%, P < 0.001). The mean CC FD size in diabetic eyes was on average 1.4-fold larger than in control eyes (2151.3± 650.8μm2 vs 1574.4±255.0 μm2, P < 0.001). No significant difference in CC FD% or mean CC FD size was observed between eyes with nonproliferative DR and eyes with proliferative DR (P = 1.000 and P = 1.000, respectively).

conclusionsCC perfusion in DR can be objectively and quantitatively assessed with FD% and FD size. In the macular region, both CC FD% and CC FD size are increased in eyes with DR. SS-OCTA provides new insights for the investigations of CC perfusion status in diabetes in vivo.

Indexed as

Tomography, Optical CoherenceChoroidDiabetic RetinopathyHumansImage Processing, Computer-AssistedMiddle Aged

Identifiers

PMID33306736
PMCPMC7732066
OpenAlexW3110831965

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.