Evidence map›Paper›PMID 37692106›Full record

ArticleBiomedical signal processing and control2023

Information Based Similarity Analysis of Oxygen Saturation Recordings to Detect Pulmonary Hypertension in Preterm Infants.

Pravitha Ramanand, Premananda Indic, Samuel J Gentle, Namasivayam Ambalavanan

Open access · greenAbstract read
In one paragraph

Article in Biomedical signal processing and control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Pravitha RamanandDepartment of Electrical & Computer Engineering, The University of Texas at Tyler, Tyler, TX.
Premananda IndicDepartment of Electrical & Computer Engineering, The University of Texas at Tyler, Tyler, TX.
Samuel J GentleDepartment of Pediatrics, The University of Alabama at Birmingham, Birmingham, AL.
Namasivayam AmbalavananDepartment of Pediatrics, The University of Alabama at Birmingham, Birmingham, AL.
The University of Texas at Tyler · USUniversity of Alabama at Birmingham · US

Funding

Prematurity-Related Ventilatory Control: Leadership Data and Coordination Center (LDCC)U01HL133708 · NHLBI · UNIVERSITY OF VIRGINIA · PI LAKE, DOUGLAS E, MOORMAN, JOSEPH RANDALL · 2016 to 2020
$3.7M
Pre-Vent ApneaU01HL133536 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AMBALAVANAN, NAMASIVAYAM, INDIC, PREMANANDA PAI · 2016 to 2020
$2.6M
NHLBI NIH HHS U01 HL133536NHLBI NIH HHS U01 HL133708
6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a complex cardiovascular condition associated with multiple morbidities and mortality risk in preterm infants. PH often complicates the clinical course of infants who have bronchopulmonary dysplasia (BPD), a more common lung disease in these neonates, causing respiratory deterioration and an even higher risk of mortality. While risk factors and prevalence of PH are not yet well defined, early screening and management of PH in infants with BPD are recommended by consensus guidelines from the American Heart Association. In this study, we propose a screening method for PH by applying a signal analysis technique to oxygen saturation in infants. Oxygen saturation data from infant groups with BPD (41 with and 60 without PH), recorded prior to their clinical PH diagnosis were analyzed in this study. An information-based similarity approach was applied to quantify the regularity of SpO

Indexed as

Information-based similarityOxygen saturationPreterm InfantsPulmonary HypertensionPulse oximetry

Identifiers

PMID37692106
PMCPMC10487283
OpenAlexW4386041249

What OpenQuestion holds

Textmetadata
LicenceTDM
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.