Evidence map›Paper›PMID 41899873›Full record

ArticleBioengineering (Basel, Switzerland)2026

Electrogastrography-Derived Mean Power Ratio as an Exploratory Objective Measure of Feeding Intolerance in Preterm Infants.

Soheila Norasteh, Lindsay Roblyer, Rinarani Sanghavi, Hanli Liu, Eric B Ortigoza

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Soheila NorastehDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Lindsay RoblyerDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Rinarani SanghaviDivision of Pediatric Gastroenterology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Hanli LiuDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0002-9312-5691
Eric B OrtigozaDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-8227-7529

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
Integrating Novel Physiological Biomarkers of Feeding Intolerance in Preterm InfantsK23HD108443 · NICHD · UT SOUTHWESTERN MEDICAL CENTER · PI Eric Brum Ortigoza · 2023 to 2026
$668k
Children's Health N/AEunice Kennedy Shriver National Institute of Child Health and Human Development K23HD108443NCATS NIH HHS UL1 TR003163NCATS NIH HHS UL1TR003163NICHD NIH HHS K23 HD108443
6 · The paper itself

Abstract

Feeding intolerance (FI) is common in preterm infants and disrupts enteral nutrition. Because clinical signs of FI are nonspecific, objective biomarkers are needed. In this exploratory study, we evaluated whether electrogastrography (EGG) can distinguish infants with FI from those with no FI (NFI) based on their gastric response to feeding. For each infant, the first available weekly EGG recording (postnatal week 1 or, if unavailable, week 2), comprising two consecutive feeding cycles, was analyzed. Each recording included pre-, during-, and post-feed segments. Power spectral density (PSD) was computed over 0.5-9 cycles per minute (cpm) to derive baseline mean PSD (mPSD) and PSD ratios (PSDR) for during/pre- and post/pre-feeding (PSDR

Indexed as

electrogastrographyfeeding intoleranceneonatespower spectral densitypreterm infants

Identifiers

PMID41899873
PMCPMC13024160

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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.