Evidence map›Paper›PMID 26608511›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2015

Comparison of Adipose Distribution Indices with Gold Standard Body Composition Assessments in the EMPA-REG H2H SU Trial: A Body Composition Sub-Study.

Ian J Neeland, Darren K McGuire, Björn Eliasson, Martin Ridderstråle, Cordula Zeller, Hans J Woerle, Uli C Broedl, Odd Erik Johansen

Erratum issuedAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Review
  6. Review
  7. Article
  8. Observational
  9. Observational
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ian J NeelandDepartment of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA. ian.neeland@utsouthwestern.edu.
Darren K McGuireDepartment of Internal Medicine, Division of Cardiology and Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Björn EliassonSahlgrenska University Hospital, Gothenburg, Sweden.
Martin RidderstråleSteno Diabetes Center, Gentofte, Denmark.
Cordula ZellerBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Hans J WoerleBoehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.
Uli C BroedlBoehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.
Odd Erik JohansenBoehringer Ingelheim Norway KS, Asker, Norway.

Funding

Visceral Adiposity and Diabetes: Translating Form to Function Using ImagingK23DK106520 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI NEELAND, IAN JASON · 2015 to 2019
$776k
NIDDK NIH HHS K23 DK106520
6 · The paper itself

Abstract

introductionExcess adiposity contributes to cardiometabolic disease. Although adipose depots can be measured using imaging, implementation remains limited in practice. Data comparing surrogate indices of total and visceral adiposity with gold standard measurements in the context of a clinical trial population are lacking. We explored the relationships between adipose distribution indices and imaging assessments of body composition using baseline data from the EMPA-REG H2H SU™ trial.

methods118 participants from the Phase III trial of empagliflozin 25 mg vs. glimepiride 1-4 mg enrolled in a dedicated sub-study underwent assessment of total fat and fat-free mass by dual x-ray absorptiometry (n = 93) and abdominal visceral (VAT) and subcutaneous adipose tissue by magnetic resonance imaging (n = 99). Correlations with waist circumference (WC), estimated total body fat (eTBF), index of central obesity (ICO), and visceral adiposity index (VAI) were assessed.

resultseTBF was highly representative of total body fat (Spearman's ρ = 0.73, P < 0.001) but not associated with VAT. WC and ICO were strongly, and VAI to a lesser degree, correlated with VAT (ρ = 0.66, P < 0.001; ρ = 0.52, P < 0.001; ρ = 0.24, P = 0.02, respectively).

conclusionThese findings support the use of eTBF and WC or ICO as surrogate indices for total body fat and VAT, respectively, in the absence of gold standard imaging methodology.

Indexed as

Body fat distributionEmpagliflozinObesitySodium glucose co-transporter 2 inhibitorVisceral adipose tissue

Identifiers

PMID26608511
PMCPMC4674478

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