Evidence map›Paper›PMID 25525511›Full record

SynthesisJournal of obesity2014

Abdominal adiposity distribution in diabetic/prediabetic and nondiabetic populations: a meta-analysis.

Jane J Lee, S Natasha Beretvas, Jeanne H Freeland-Graves

Abstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in Journal of obesity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Feasibility and efficacy of a weight gain prevention intervention for breast cancer patients receiving neoadjuvant chemotherapy: a randomized controlled pilot study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
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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

3 authors.

Jane J LeeDepartment of Nutritional Sciences, The University of Texas at Austin, 1 University Station A2703, Austin, TX 78712, USA.
S Natasha BeretvasDepartment of Educational Psychology, The University of Texas at Austin, 1 University Station D5800, Austin, TX 78712, USA.
Jeanne H Freeland-GravesDepartment of Nutritional Sciences, The University of Texas at Austin, 1 University Station A2703, Austin, TX 78712, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excess fat in the abdomen can be classified generally as visceral and subcutaneous adiposity. Evidence suggests that visceral adiposity has greater implications for diabetes than other fat depots. The purpose of this study is to explore the disparities in the distribution of abdominal adiposity in diabetic/prediabetic and nondiabetic populations and to identify moderators that influence the pattern of central obesity via a meta-analysis technique. The Hedges' g was used as a measure of effect size and 95% confidence interval was computed. A total of 41 relevant studies with 101 effect sizes were retrieved. Pooled effect sizes for visceral and subcutaneous adiposity were 0.69 and 0.42, respectively. Diabetic/prediabetic populations exhibited greater visceral and subcutaneous adiposity compared to nondiabetic populations (Z = 10.35, P < 0.05). Significant moderator effects of gender (Z = -2.90) and assessment method of abdominal adiposity (Z = -2.17) were found for visceral fat (P < 0.05), but not for subcutaneous fat. Type of health condition influenced both visceral (Z = -5.10) and subcutaneous (Z = -7.09) abdominal adiposity volumes (P < 0.05). Abdominal adiposity distributions were significantly altered in the diabetic/prediabetic population compared to the nondiabetic population. Gender, assessment method of abdominal adiposity, and type of health conditions (diabetic/prediabetics) were identified as crucial moderators that influence the degree of abdominal adiposity.

Indexed as

AdiposityAdipose TissueDiabetes Mellitus, Type 2FemaleHumansIntra-Abdominal FatMaleObesity, AbdominalPrediabetic StateReference ValuesSubcutaneous Fat, Abdominal

Identifiers

PMID25525511
PMCPMC4261846

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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.