Evidence map›Paper›PMID 37995914›Full record

ArticleThe Journal of nutrition2024

A Model-Based

Andrew F Brouwer, Gwenyth O Lee, Hannah Van Wyk, Robert J Schillinger, Christine A Edwards, Douglas J Morrison

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Associations ofCurrent developments in nutrition · 2025
    Article
  2. A cross-sectional study of associations between theThe American journal of clinical nutrition · 2024
    Observational
  3. 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 at 4 institutions in 2 countries.

Andrew F BrouwerDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA. Electronic address: brouweaf@umich.edu.
Gwenyth O LeeRutgers Global Health Institute, Rutgers University, New Brunswick, NJ, USA.
Hannah Van WykDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Robert J SchillingerScottish Universities Environmental Research Centre, University of Glasgow, East Kilbride, United Kingdom; School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom.
Christine A EdwardsSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom.
Douglas J MorrisonScottish Universities Environmental Research Centre, University of Glasgow, East Kilbride, United Kingdom.
Scottish Universities Environmental Research Centre · GBUniversity of Michigan · USRutgers, The State University of New Jersey · USUniversity of Glasgow · GB

Funding

Dynamic modeling of antagonism between enteric infection and undernutritionin infancyK01AI145080 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, GWENYTH O'NEILL · 2020 to 2024
$570k
NIAID NIH HHS K01 AI145080
6 · The paper itself

Abstract

backgroundEnvironmental enteric dysfunction (EED) causes malnutrition in children in low-resource settings. Stable-isotope breath tests have been proposed as noninvasive tests of altered nutrient metabolism and absorption in EED, but uncertainty over interpreting the breath curves has limited their use. The activity of sucrose-isomaltase, the glucosidase enzyme responsible for sucrose hydrolysis, may be reduced in EED. We previously developed a mechanistic model describing the dynamics of the

objectivesThis study aimed to determine which breath test curve dynamics are associated with sucrose hydrolysis and with the transport and metabolism of the fructose and glucose moieties and to propose and evaluate a model-based diagnostic for the loss of activity of sucrase-isomaltase.

methodsWe applied the mechanistic model to 2 sets of exploratory

resultsSucrose hydrolysis and the transport and metabolism of the fructose and glucose moieties were reflected in the same mechanistic process. The model distinguishes these processes from the fraction of tracer exhaled and an exponential metabolic process. The model-based diagnostic performed as well as the conventional summary statistics in distinguishing between no and low inhibition [area under the curve (AUC): 0.77 vs. 0.66-0.79] and for low vs. high inhibition (AUC 0.92 vs. 0.91-0.99).

conclusionsCurrent summary approaches to interpreting

Indexed as

Carbohydrate Metabolism, Inborn ErrorsSucroseAdultBreath TestsChildCross-Over StudiesFructoseGlucoseHumansOligo-1,6-GlucosidaseSucrase-Isomaltase ComplexFructoseGlucoseOligo-1,6-GlucosidaseSucrase-Isomaltase ComplexSucrose(13)Cbreath testenvironmental enteric dysfunctionfructoseglucosemechanistic modelmulberry leaf extractReducosestable-isotopesucrose

Identifiers

PMID37995914
PMCPMC10942859
OpenAlexW4388845466

What OpenQuestion holds

Textmetadata
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.