Evidence map›Paper›PMID 25469395›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2014

Novel mathematical models for investigating topics in obesity.

John A Dawson, Kevin D Hall, Diana M Thomas, James W Hardin, David B Allison, Steven B Heymsfield

Abstract read
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2014. 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. What Is aNutrients · 2022
    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

6 authors.

John A Dawson
Kevin D Hall
Diana M Thomas
James W Hardin
David B Allison
Steven B Heymsfield

Funding

UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
Computational modeling of human metabolism, body weight and compositionZIADK013036 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HALL, KEVIN · 2009 to 2024
$3.6M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
A Computational Model to Determine Energy Intake During Weight LossR15DK090739 · NIDDK · MONTCLAIR STATE UNIVERSITY · PI THOMAS, DIANA MARIA · 2011 to 2011
$303k
NHLBI NIH HHS T32 HL072757NIDDK NIH HHS R15 DK090739NIDDK NIH HHS R25 DK099080
6 · The paper itself

Abstract

There is limited insight into the mechanisms, progression, and related comorbidities of obesity through simple modeling tools such as linear regression. Keeping in mind the words of the late George E. P. Box that “all models are wrong, some are useful,” this symposium presented 4 useful mathematical models or methodologic refinements. Presenters placed specific emphasis on how these novel models and methodologies can be applied to further our knowledge of the etiology of obesity.

Indexed as

Models, TheoreticalBody Mass IndexCongresses as TopicEmpirical ResearchHumansNonlinear DynamicsObesityWeight Loss

Identifiers

PMID25469395
PMCPMC4188233

What OpenQuestion holds

Textmetadata
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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.