Evidence map›Paper›PMID 37908966›Full record

ArticleFrontiers in pediatrics2023

Lactation physiokinetics-using advances in technology for a fresh perspective on human milk transfer.

Jimi Francis, Paul Flynn, Maisha Naowar, Premananda Indic, Darby Dickton

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2023. 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 74% 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 2 institutions in 1 country.

Jimi FrancisIntegrated Nutrition and Performance Laboratory, Department of Kinesiology, College for Health, Community and Policy, University of Texas at San Antonio, San Antonio, TX, United States.
Paul FlynnDepartment of Electrical & Computer Engineering, Klesse College of Engineering and Integrated Design, University of Texas at San Antonio, San Antonio, TX, United States.
Maisha NaowarDepartment of Public Health, College for Health, Community and Policy, University of Texas at San Antonio, San Antonio, TX, United States.
Premananda IndicDepartment of Electrical Engineering, Center for Health Informatics & Analytics (CHIA) University of Texas at Tyler, Tyler, TX, United States.
Darby DicktonDepartment of Clinical Research, Foundation for Maternal, Infant, and Lactation Knowledge, San Antonio, TX, United States.
The University of Texas at San Antonio · USThe University of Texas at Tyler · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Though the nature of breastfeeding is critical, scant information is available on how the action of the milk transfer from mother to infant is regulated in humans, where the points of dysfunction are, and what can be done to optimize breastfeeding outcomes. While better therapeutic strategies are needed, before they can be devised, a basic scientific understanding of the biomechanical mechanisms that regulate human milk transfer from breast to stomach must first be identified, defined, and understood. Methods: Combining systems biology and systems medicine into a conceptual framework, using engineering design principles, this work investigates the use of biosensors to characterize human milk flow from the breast to the infant's stomach to identify points of regulation. This exploratory study used this framework to characterize Maternal/Infant Lactation physioKinetics (MILK) utilizing a Biosensor ARray (BAR) as a data collection method. Results: Participants tolerated the MILKBAR well during data collection. Changes in breast turgor and temperature were significant and related to the volume of milk transferred from the breast. The total milk volume transferred was evaluated in relation to contact force, oral pressure, and jaw movement. Contact force was correlated with milk flow. Oral pressure appears to be a redundant measure and reflective of jaw movements. Discussion: Nipple and breast turgor, jaw movement, and swallowing were associated with the mass of milk transferred to the infant's stomach. More investigation is needed to better quantify the mass of milk transferred in relation to each variable and understand how each variable regulates milk transfer.

Indexed as

biosensorbreastfeedinghuman milk transferoral pressurephysiokinetics

Identifiers

PMID37908966
PMCPMC10613710
OpenAlexW4387670426

What OpenQuestion holds

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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.