Is There a Contribution of Structural Brain Phenotypes to the Variance in Resting Energy Expenditure before and after Weight Loss in Overweight Females?

Corinna Geisler, Manfred J Müller

Abstract read

In one paragraph

Article in Nutrients, 2019. 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.

Advances in body composition: a 100-year journey.International journal of obesity (2005) · 2025
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

2 authors.

Corinna GeislerInstitute of Human Nutrition and Food Science, Christian-Albrechts-University of Kiel, Düsternbrooker Weg 17-19, D-24105 Kiel, Germany.

Manfred J MüllerInstitute of Human Nutrition and Food Science, Christian-Albrechts-University of Kiel, Düsternbrooker Weg 17-19, D-24105 Kiel, Germany.

Funding

Bundesministerium für Bildung und Forschung 01GI1125Deutsche Forschungsgemeinschaft Mü 714/8-3

6 · The paper itself

Abstract

Brain gray (GM) and white matter (WM) are associated with resting energy expenditure (REE). The impact of weight loss on GM and WM masses, as well as on their associations with REE and the ratio between body and brain metabolism, i.e., encephalic measure (EM)), are unknown. Longitudinal data of 69 female Caucasian subjects (age range 19-69 years) with detailed information on fat mass (FM), fat free mas (FFM), GM, WM and REE. Mean weight loss was 14.5 ± 11.9 kg with changes in FM (-12.9 ± 9.8 kg), FFM (-1.7 ± 4.8 kg) and REE (-159 ± 191 kcal/24 h) (all

Indexed as

Basal MetabolismBody CompositionBrainAdipose TissueAdultAgedBody Fluid CompartmentsFemaleGray MatterHumansMiddle AgedObesityOrgan SizeOverweightPhenotypeRestbraingray matterresting energy expenditureweight losswhite matter

Identifiers

PMID31739433

DOI10.3390/nu11112759

PMCPMC6893761

What OpenQuestion holds

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Registered trials

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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.