Evidence map›Paper›PMID 30498392›Full record

ArticleMathematical and computer modelling of dynamical systems2018

A Dynamical Systems Model of Intrauterine Fetal Growth.

Mohammad T Freigoun, Daniel E Rivera, Penghong Guo, Emily E Hohman, Alison D Gernand, Danielle Symons Downs, Jennifer S Savage

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Mathematical and computer modelling of dynamical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03945266 (Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 30% 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.

NCT03945266 nacompletednot on this map

Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention

TypeinterventionalSponsorPenn State UniversityRan2014 to 2018Enrolled31ConditionsOverweight and Obesity, Physical Activity, Weight Change, Body, Eating BehaviorArmsIntervention group, Control group
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 2 institutions in 1 country.

Mohammad T FreigounControl Systems Engineering Laboratory, School for the Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Daniel E RiveraControl Systems Engineering Laboratory, School for the Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Penghong GuoControl Systems Engineering Laboratory, School for the Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Emily E HohmanCenter for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, USA.
Alison D GernandDepartment of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA.
Danielle Symons DownsExercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA.
Jennifer S SavageCenter for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, USA.
Pennsylvania State University · USArizona State University · US

Funding

Control Systems Engineering for Optimizing a Prenatal Weight Gain InterventionR01HL119245 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI DOWNS, DANIELLE SYMONS · 2013 to 2017
$1.8M
Using Dynamical Systems Modeling to Understand the Effects of an Individually Tailored Prenatal Weight Gain Intervention on Fetal Growth and Postnatal Obesity RiskR56HL126799 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI WILLIAMS, JENNIFER SAVAGE · 2015 to 2015
$505k
NHLBI NIH HHS R01 HL119245NHLBI NIH HHS R56 HL126799
6 · The paper itself

Abstract

The underlying mechanisms for how maternal perinatal obesity and intrauterine environment influence fetal development are not well understood and thus require further understanding. In this paper, energy balance concepts are used to develop a comprehensive dynamical systems model for fetal growth that illustrates how maternal factors (energy intake and physical activity) influence fetal weight and related components (fat mass, fat-free mass, and placental volume) over time. The model is estimated from intensive measurements of fetal weight and placental volume obtained as part of

Indexed as

Biomedical ModelingOptimizationSystem Identification

Identifiers

PMID30498392
PMCPMC6258009
OpenAlexW2896206124

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.