Evidence map›Paper›PMID 31101532›Full record

ArticleNutrition research (New York, N.Y.)2019

Application of mathematical models in the management of obesity during pregnancy and the postpartum period in reproductive age women.

L Anne Gilmore, Leanne M Redman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition research (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  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

2 authors.

L Anne GilmorePennington Biomedical Research Center, 6400 Perkins Rd, Louisiana 70808, United States. Electronic address: anne.gilmore@pbrc.edu.
Leanne M RedmanPennington Biomedical Research Center, 6400 Perkins Rd, Louisiana 70808, United States. Electronic address: leanne.redman@pbrc.edu.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Training in Obesity ResearchT32DK064584 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI CORBY K MARTIN, Christopher D Morrison · 2003 to 2026
$5.3M
A pragmatic, scalable e-health intervention for management of gestational weight gain in low-income mothersR01NR017644 · NINR · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI REDMAN, LEANNE MAREE · 2019 to 2024
$3.6M
NIDDK NIH HHS T32 DK064584NIGMS NIH HHS U54 GM104940NINR NIH HHS R01 NR017644
6 · The paper itself

Abstract

Obesity is a complex pandemic, and its effective management involves addressing many different factors. This complexity has given rise to novel analytic methods, integrating intensive computational, engineering, and statistical techniques. Mathematical models are currently applied to inform clinical practice. At the 2017 The Korean Nutrition Society 50th Anniversary International Conference, the development of such models and their application to improve data accuracy and patient care during the pregnancy and postpartum periods were discussed.

Indexed as

Body Mass IndexPostnatal CarePrenatal CareWeight GainFemaleGestational Weight GainHumansModels, BiologicalModels, TheoreticalObesityPostpartum PeriodPregnancyPregnancy ComplicationsRisk FactorsGestational weight gainMathematical modelsPrepregnancy weightWeight lossWeight management

Identifiers

PMID31101532
PMCPMC6903398

What OpenQuestion holds

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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.