Evidence map›Paper›PMID 38834830›Full record

ArticleScientific reports2024

Retinal blood flow association with age and weight in infants at risk for retinopathy of prematurity.

Euna Cho, Urjita Das, Danielle Sidelnikov, Tara Balasubramanian, Daniel Shats, Shaiza Mansoor, He Eun Forbes, Jason Zhou, Ria Kapoor, Sera Chase and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Euna ChoUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Urjita DasUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Danielle SidelnikovUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Tara BalasubramanianUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Daniel ShatsUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Shaiza MansoorDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
He Eun ForbesDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Jason ZhouUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Ria KapoorDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Sera ChaseDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Madi KoreDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Kristin WilliamsDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Osamah SaeediDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Sripriya SundararajanDivision of Neonatology, Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA.
Moran Roni LevinDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Laurence MagderDepartment of Biostatistics and Epidemiology, University of Maryland, Baltimore, MD, USA.
Janet Leath AlexanderDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA. jalexander@som.umaryland.edu.

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Development of Flow Based Biomarkers for Retinopathy of Prematurity - Supplemental AimR43EY030798 · NEI · VASOPTIC MEDICAL, INC. · PI REGE, ABHISHEK · 2019 to 2020
$389k
Maryland Industrial Partnerships (MIPS) Program Grant 7103National Eye Institute (NEI) of the National Institutes of Health K23EY03252NCATS NIH HHS UL1 TR003098NEI NIH HHS R43 EY030798Small Business Innovation Research (SBIR) R43EY030798
6 · The paper itself

Abstract

This prospective study evaluated the relationship between laser speckle contrast imaging (LSCI) ocular blood flow velocity (BFV) and five birth parameters: gestational age (GA), postmenstrual age (PMA) and chronological age (CA) at the time of measurement, birth weight (BW), and current weight (CW) in preterm neonates at risk for retinopathy of prematurity (ROP). 38 Neonates with BW < 2 kg, GA < 32 weeks, and PMA between 27 and 47 weeks underwent 91 LSCI sessions. Correlation tests and regression analysis were performed to quantify relationships between birth parameters and ocular BFV. Mean ocular BFV index in this cohort was 8.8 +/- 4.0 IU. BFV positively correlated with PMA (r = 0.3, p = 0.01), CA (r = 0.3, p = 0.005), and CW (r = 0.3, p = 0.02). BFV did not correlate with GA nor BW (r = - 0.2 and r = - 0.05, p > 0.05). Regression analysis with mixed models demonstrated that BFV increased by 1.2 for every kilogram of CW, by 0.34 for every week of CA, and by 0.36 for every week of PMA (p = 0.03, 0.004, 0.007, respectively). Our findings indicate that increased age and weight are associated with increased ocular BFV measured using LSCI in premature infants. Future studies investigating the associations between ocular BFV and ROP clinical severity must control for age and/or weight of the infant.

Indexed as

Birth WeightGestational AgeRetinopathy of PrematurityBlood Flow VelocityFemaleHumansInfant, NewbornInfant, PrematureMaleProspective StudiesRegional Blood FlowRetinaRetinal VesselsRisk Factors

Identifiers

PMID38834830
PMCPMC11150459

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.