Evidence map›Paper›PMID 28066773›Full record

ReviewFrontiers in nutrition2016

Energy Expenditure in People with Diabetes Mellitus: A Review.

Nathan Caron, Nicolas Peyrot, Teddy Caderby, Chantal Verkindt, Georges Dalleau

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03940937 (Cadence and Intensity in Adults With Type 2 Diabetes), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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.

NCT03940937 unknown statusnot on this mapstarted 2019, after this paper: background citation

Cadence and Intensity in Adults With Type 2 Diabetes

TypeobservationalSponsorUniversity of Massachusetts, AmherstRan2019 to 2019Enrolled20ConditionsType 2 Diabetes Mellitus, Walking
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Andaliman (Journal of advanced veterinary and animal research · 2023
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  17. Resting energy expenditure of a diverse group of South African men and women.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2022
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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

5 authors.

Nathan CaronLaboratoire IRISSE, UFR des Sciences de l'Homme et de l'Environnement, Université de la Réunion, Le Tampon , La Réunion , France.
Nicolas PeyrotLaboratoire IRISSE, UFR des Sciences de l'Homme et de l'Environnement, Université de la Réunion, Le Tampon , La Réunion , France.
Teddy CaderbyLaboratoire IRISSE, UFR des Sciences de l'Homme et de l'Environnement, Université de la Réunion, Le Tampon , La Réunion , France.
Chantal VerkindtLaboratoire IRISSE, UFR des Sciences de l'Homme et de l'Environnement, Université de la Réunion, Le Tampon , La Réunion , France.
Georges DalleauLaboratoire IRISSE, UFR des Sciences de l'Homme et de l'Environnement, Université de la Réunion, Le Tampon , La Réunion , France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity (PA) is an important non-therapeutic tool in primary prevention and treatment of diabetes mellitus (DM). To improve activity-based health management, patients need to quantify activity-related energy expenditure and the other components of total daily energy expenditure. This review explores differences between the components of total energy expenditure in patients with DM and healthy people and presents various tools for assessing the energy expenditure in subjects with DM. From this review, it appears that patients with uncontrolled DM have a higher basal energy expenditure (BEE) than healthy people which must be considered in the establishment of new BEE estimate equations. Moreover, studies showed a lower activity energy expenditure in patients with DM than in healthy ones. This difference may be partially explained by patient with DMs poor compliance with exercise recommendations and their greater participation in lower intensity activities. These specificities of PA need to be taken into account in the development of adapted tools to assess activity energy expenditure and daily energy expenditure in people with DM. Few estimation tools are tested in subjects with DM and this results in a lack of accuracy especially for their particular patterns of activity. Thus, future studies should examine sensors coupling different technologies or method that is specifically designed to accurately assess energy expenditure in patients with diabetes in daily life.

Indexed as

guidelinemetabolic costphysical activitysensortype 2 diabetes

Identifiers

PMID28066773
PMCPMC5177618

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.