Evidence map›Paper›PMID 25840793›Full record

ArticleJournal of endocrinological investigation2015

Does segmental body composition differ in women with Prader-Willi syndrome compared to women with essential obesity?

G Bedogni, G Grugni, G Tringali, N Marazzi, A Sartorio

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In one paragraph

Article in Journal of endocrinological investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  9. Review
  10. Obesity management in Prader-Willi syndrome: current perspectives.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    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

5 authors at 3 institutions in 1 country.

G BedogniClinical Epidemiology Unit, Liver Research Center, Building Q, AREA Science Park, Strada Statale 14 km 163.5, 34012, Basovizza, Trieste, Italy, giorgiobedogni@gmail.com.
G Grugni
G Tringali
N Marazzi
A Sartorio
IRCCS Istituto Auxologico Italiano · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITAREA Science Park · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubjects with Prader-Willi syndrome (PWS) have a higher fat mass and a lower fat-free mass compared to subjects with essential obesity. However, few data are presently available on the segmental body composition (BC) of PWS subjects.

aimTo evaluate whether women with PWS and women with essential obesity, matched for age and percent body fat, differ in segmental fat distribution and surrogate markers of cardiometabolic disease (CMD). SUBJECTS AND

methods35 women with PWS and 50 women with essential obesity were matched for age and percent body fat using coarsened exact matching. BC was measured by dual-energy X-ray absorptiometry. Oral glucose tolerance testing and measurements of cholesterol, triglycerides, C-reactive protein, and blood pressure were performed. Comparisons between PWS and obese women were performed using generalized linear models.

resultsTrunk fat was lower in PWS than in obese women on both absolute [-7.3 (95% confidence interval -9.4 to -5.2) kg] and relative [-4.1 (-6.9 to -1.4)% of body fat] grounds. PWS and obese women had similar surrogate markers of CMD, with the exception of HDL-cholesterol, which was higher in PWS women.

conclusionTrunk fat is lower in obese women with PWS than in those with essential obesity. Surrogate markers of CMD are, however, mostly similar in the two groups.

Indexed as

Absorptiometry, PhotonAdipose TissueAdultBody CompositionBody Fat DistributionFemaleHumansObesityPrader-Willi Syndrome

Identifiers

PMID25840793
OpenAlexW2154020888

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.