Evidence map›Paper›PMID 31185052›Full record

ArticlePloS one2019

Modelling net energy of commercial cat diets.

Natalie J Asaro, David J Seymour, Wilfredo D Mansilla, John P Cant, Ruurd T Zijlstra, Kimberley D Berendt, Jason Brewer, Anna K Shoveller

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

8 authors.

Natalie J AsaroCentre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.
David J SeymourCentre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0001-6208-8720
Wilfredo D MansillaCentre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.
John P CantCentre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.
Ruurd T ZijlstraDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0003-1875-8453
Kimberley D BerendtDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Jason BrewerRoyal Canin, Mars Pet Care, Lewisburg, Ohio, United States of America.
Anna K ShovellerCentre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0002-2584-4774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Net energy accounts for the proportion of energy expenditure attributed to the digestion, metabolism, and absorption of ingested food. Currently, there are no models available to predict net energy density of food for domestic cats. Therefore, the objectives of this study were to measure the heat increment of feeding in cats, and to model the net energy of commercial diets. Metabolizable energy and calorimetry data from two previous studies was reanalyzed to create net energy models in the present study. Energy expenditure was calculated using measurements of CO2 production and O2 consumption. Net energy was determined as the metabolizable energy of the diets minus the heat increment of feeding. The heat increment of feeding was determined as the area under the energy expenditure curve above the resting fed metabolic rate. Eight net energy models were developed using metabolizable energy, 1 of 4 dietary parameters (crude protein, fat, fiber, and starch), and heat increment of feeding values from 0-2 h or 0-21 h. Two hours postprandial, and over the full calorimetry period, the heat increment of feeding amounted for 1.74, and 20.9% of the metabolizable energy, respectively. Of the models tested, the models using crude protein in combination with metabolizable energy as dietary parameters best fit the observed data, thus providing a more accurate estimate of dietary energy availability for cats.

Indexed as

Energy IntakeEnergy MetabolismModels, BiologicalAnimal FeedAnimalsCats

Identifiers

PMID31185052
PMCPMC6559639

What OpenQuestion holds

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LicenceCC BY
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.