Evidence map›Paper›PMID 41306560›Full record

ArticleIEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications2025

An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control.

Owais Khan, Francesco Campregher, Daniel E Rivera, Antonio Visioli, Abigail M Pauley, Danielle Symons Downs

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

Article in IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05807594 (Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems Methodology), which is not on this 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.

NCT05807594 narecruitingnot on this map

Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems Methodology

TypeinterventionalSponsorPenn State UniversityRan2023 to 2028Enrolled144ConditionsGestational Weight Gain, Overweight and Obesity, Pregnancy, Energy BalanceArmsHMZ 2.0 Intervention, Attention Control Intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Owais KhanControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.
Francesco CampregherDipartimento di Ingegneria Meccanica e Industriale, University of Brescia, Brescia, Italy.
Daniel E RiveraControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.
Antonio VisioliDipartimento di Ingegneria Meccanica e Industriale, University of Brescia, Brescia, Italy.
Abigail M PauleyExercise Psychology Laboratory, Department of Kinesiology, Pennsylvania State University, University Park, PA 16802 USA.
Danielle Symons DownsExercise Psychology Laboratory, Department of Kinesiology, Pennsylvania State University, University Park, PA 16802 USA.

Funding

Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems MethodologyR01DK134863 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI Danielle Symons Downs · 2023 to 2026
$2.6M
NIDDK NIH HHS R01 DK134863
6 · The paper itself

Abstract

This paper describes an optimized behavioral intervention

Identifiers

PMID41306560
PMCPMC12646135

What OpenQuestion holds

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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.