Evidence map›Paper›PMID 33918420›Full record

ArticleInternational journal of environmental research and public health2021

An Analysis of the Areas Occupied by Vessels in the Ocular Surface of Diabetic Patients: An Application of a Nonparametric Tilted Additive Model.

Farzaneh Boroumand, Mohammad Taghi Shakeri, Touka Banaee, Hamidreza Pourreza, Hassan Doosti

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 3 countries.

Farzaneh BoroumandDepartment of Mathematics and Statistics, Faculty of Science and Engineering, Macquarie University, Sydney 2109, Australia.ORCID 0000-0003-2972-3969
Mohammad Taghi ShakeriDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad 9137673119, Iran.
Touka BanaeeDepartment of Ophthalmology and Visual Sciences, University of Texas Medical Branch, Galveston, TX 77555, USA.
Hamidreza PourrezaDepartment Computer Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran.
Hassan DoostiDepartment of Mathematics and Statistics, Faculty of Science and Engineering, Macquarie University, Sydney 2109, Australia.ORCID 0000-0002-0290-8122
Mashhad University of Medical Sciences · IRFerdowsi University of Mashhad · IRMacquarie University · AUThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: As diabetes melllitus (DM) can affect the microvasculature, this study evaluates different clinical parameters and the vascular density of ocular surface microvasculature in diabetic patients. (2) Methods: In this cross-sectional study, red-free conjunctival photographs of diabetic individuals aged 30-60 were taken under defined conditions and analyzed using a Radon transform-based algorithm for vascular segmentation. The Areas Occupied by Vessels (AOV) images of different diameters were calculated. To establish the sum of AOV of different sized vessels. We adopt a novel approach to investigate the association between clinical characteristics as the predictors and AOV as the outcome, that is Tilted Additive Model (TAM). We use a tilted nonparametric regression estimator to estimate the nonlinear effect of predictors on the outcome in the additive setting for the first time. (3) Results: The results show Age (

Indexed as

Diabetes MellitusAdultAlgorithmsCross-Sectional StudiesEyeGlycated HemoglobinHumansMiddle AgedGlycated Hemoglobinarea occupied by vesselsbootstrap confidence banddiabetesgeneralized additive modelmetabolic syndromenonparametric regressionocular surfacetilted estimator

Identifiers

PMID33918420
PMCPMC8038237
OpenAlexW3142332403

What OpenQuestion holds

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LicenceCC BY
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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.