Evidence map›Paper›PMID 23483954›Full record

ArticlePloS one2013

Reduction in adiposity, β-cell function, insulin sensitivity, and cardiovascular risk factors: a prospective study among Japanese with obesity.

Maki Goto, Akemi Morita, Atsushi Goto, Kijo Deura, Satoshi Sasaki, Naomi Aiba, Takuro Shimbo, Yasuo Terauchi, Motohiko Miyachi, Mitsuhiko Noda and 2 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  7. Effects of exenatide in a morbidly obese patient with type 2 diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2014
    Article
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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

12 authors.

Maki GotoDepartment of Diabetes Research, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan.
Akemi Morita
Atsushi Goto
Kijo Deura
Satoshi Sasaki
Naomi Aiba
Takuro Shimbo
Yasuo Terauchi
Motohiko Miyachi
Mitsuhiko Noda
Shaw Watanabe
SCOP Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA reduction in adiposity may be associated with an improvement in insulin sensitivity and β-cell function as well as cardiovascular disease (CVD) risk factors; however, few studies have investigated these associations in a longitudinal setting.

methodsTo investigate these associations over a 1-year period, we conducted an observational analysis of 196 Japanese subjects with obesity in the Saku Control Obesity Program. We investigated the relations between changes in adiposity (body mass index [BMI], waist circumference, subcutaneous fat area [SFAT], and visceral fat area [VFAT]) and changes in HbA1c, fasting plasma glucose (FPG), insulin sensitivity index (ISI), the homeostasis model assessment β cell function (HOMA-β), lipids, and blood pressure.

resultsAll adiposity changes were positively associated with HbA1c and FPG changes. Reductions in BMI and VFAT were associated with HOMA-β reduction. Reductions in all adiposity measures were associated with an improvement in the ISI. Changes in most adiposity measures were positively associated with changes in blood pressure and lipid levels, except for LDL.

conclusionThe present findings provide additional supportive evidence indicating that a reduction in adiposity may lead to an improvement in insulin sensitivity and the reduction of CVD risk factors in obese individuals.

Indexed as

AdiposityAsian PeopleInsulin ResistanceAdultBlood GlucoseBlood PressureCardiovascular DiseasesFemaleHumansInsulinInsulin-Secreting CellsJapanLipidsMaleMiddle AgedObesityBlood GlucoseInsulinLipids

Identifiers

PMID23483954
PMCPMC3590246

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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.