Evidence map›Paper›PMID 28387229›Full record

ArticleScientific reports2017

Assessment of Conjunctival Microvascular Hemodynamics in Stages of Diabetic Microvasculopathy.

Maziyar M Khansari, Justin Wanek, Michael Tan, Charlotte E Joslin, Jacob K Kresovich, Nicole Camardo, Norman P Blair, Mahnaz Shahidi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Conjunctival Venular Hemodynamic Biomarkers in Glaucoma.Translational vision science & technology · 2025
    Article
  4. Article
  5. Eye Sign is an Alternative for Evaluation of the Microcirculation in Patients with Systemic Sclerosis.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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.

Maziyar M KhansariDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Justin WanekDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Michael TanDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Charlotte E JoslinDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Jacob K KresovichDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL 60612, USA.
Nicole CamardoDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Norman P BlairDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Mahnaz ShahidiDepartment of Ophthalmology, University of Southern California, Los Angeles, CA 90033, USA.
University of Illinois Chicago · USUniversity of Southern California · US

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AAKALU, VINAY · 1985 to 2025
$14.8M
Ocular Biomarkers of Microvascular, Neural and Metabolic Function in DiabetesDP3DK104393 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHAHIDI, MAHNAZ · 2014 to 2014
$1.5M
NEI NIH HHS P30 EY001792NIDDK NIH HHS DP3 DK104393
6 · The paper itself

Abstract

Diabetes impairs the microcirculation and function of various vital tissues throughout the body. The conjunctival microcirculation can be non-invasively imaged and thus enables assessment of microvascular hemodynamics. In this study, alterations in conjunctival microvascular hemodynamics were quantitatively assessed at stages of increasing diabetic microvasculopathy based on diabetic retinopathy (DR). Subjects were categorized into non-diabetic control (C, N = 34), no clinically visible DR (NDR, N = 47), non-proliferative DR (NPDR, N = 45), and proliferative DR (PDR, N = 35). Conjunctival hemodynamic descriptors, namely vessel diameter (D), blood velocity (V), blood flow (Q), wall shear rate (WSR), and wall shear stress (WSS) were measured in arterioles and venules, and compared between DR and C subjects using generalized linear mixed models. In arterioles, V, WSR, and WSS were lower in NDR (P ≤ 0.01). V was lower in NDR than NPDR and PDR subjects (P ≤ 0.02). In venules, D was higher in NDR and NPDR (P ≤ 0.03), while V was lower in PDR (P = 0.04). Venular V and Q were higher in NPDR than PDR subjects (P ≤ 0.04). WSR and WSS were lower in all stages of DR (P ≤ 0.05), suggestive of the potential of WSS as a marker of diabetic microvasculopathy. Quantitative assessment of conjunctival hemodynamics can potentially be useful for evaluation of diabetic microvasculopathy.

Indexed as

HemodynamicsMicrocirculationAdultAgedAged, 80 and overArteriolesConjunctivaDiabetes Mellitus, Type 2Diabetic AngiopathiesDiabetic RetinopathyFemaleHumansMaleMiddle AgedVenulesYoung Adult

Identifiers

PMID28387229
PMCPMC5384077
OpenAlexW2604600081

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.