Evidence map›Paper›PMID 24281313›Full record

ArticleEuropean journal of clinical nutrition2014

An approach to quantifying abnormalities in energy expenditure and lean mass in metabolic disease.

L P E Watson, P Raymond-Barker, C Moran, N Schoenmakers, C Mitchell, L Bluck, V K Chatterjee, D B Savage, P R Murgatroyd

Abstract read
In one paragraph

Article in European journal of clinical nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
    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

9 authors.

L P E WatsonNIHR/Wellcome Trust Clinical Research Facility, Addenbrooke's Hospital, Cambridge, UK.
P Raymond-BarkerNIHR/Wellcome Trust Clinical Research Facility, Addenbrooke's Hospital, Cambridge, UK.
C MoranUniversity of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK.
N SchoenmakersUniversity of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK.
C MitchellUniversity of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK.
L Bluck1] NIHR/Wellcome Trust Clinical Research Facility, Addenbrooke's Hospital, Cambridge, UK [2] MRC-Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK.
V K ChatterjeeUniversity of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK.
D B SavageUniversity of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK.
P R Murgatroyd1] NIHR/Wellcome Trust Clinical Research Facility, Addenbrooke's Hospital, Cambridge, UK [2] University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK.

Funding

Medical Research Council G0600717Medical Research Council MC_UP_A090_1005Wellcome Trust 078986/Z/06/ZWellcome Trust 091551Wellcome Trust 095564Wellcome Trust 095564/Z/11/ZWellcome Trust 100574Wellcome Trust 100585/Z/12/Z
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe objective of this study was to develop approaches to expressing resting energy expenditure (REE) and lean body mass (LM) phenotypes of metabolic disorders in terms of Z-scores relative to their predicted healthy values. SUBJECTS/

methodsBody composition and REE were measured in 135 healthy participants. Prediction equations for LM and REE were obtained from linear regression and the range of normality by the standard deviation of residuals. Application is demonstrated in patients from three metabolic disorder groups (lipodystrophy, n=7; thyrotoxicosis, n=16; and resistance to thyroid hormone (RTH), n=46) in which altered REE and/or LM were characterised by departure from the predicted healthy values, expressed as a Z-score.

resultsREE (kJ/min) = -0.010 × age (years)+0.016 × FM (kg)+0.054 × fat-free mass (kg)+1.736 (R2 = 0.732, RSD = 0.36 kJ/min). LM (kg)=5.30 × bone mineral content (kg)+10.66 × height2 (m)+6.40 (male). LM (kg)=0.20 × fat (kg)+14.08 × height2 (m)-2.93 (female).(male R2=0.55, RSD = 3.90 kg; female R2 = 0.59, RSD=3.85 kg).We found average Z-scores for REE and LM of 1.77 kJ/min and -0.17 kg in the RTH group, 5.82 kJ/min and -1.23 kg in the thyrotoxic group and 2.97 kJ/min and 4.20 kg in the LD group.

conclusionThis approach enables comparison of data from individuals with metabolic disorders with those of healthy individuals, describing their departure from the healthy mean by a Z-score.

Indexed as

Body CompositionEnergy MetabolismAdolescentAdultFemaleHumansLinear ModelsLipodystrophyMaleMetabolic DiseasesMiddle AgedSex FactorsThyroid Hormone Resistance SyndromeThyrotoxicosis

Identifiers

PMID24281313
PMCPMC3916834

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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.