Evidence map›Paper›PMID 34448106›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2021

Comparison of Body Mass Index and Waist Circumference in the Prediction of Diabetes: A Retrospective Longitudinal Study.

Makiko Abe, Hideyuki Fujii, Shunsuke Funakoshi, Atsushi Satoh, Miki Kawazoe, Toshiki Maeda, Kazuhiro Tada, Soichiro Yokota, Toshitaka Yamanokuchi, Chikara Yoshimura and 10 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

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  12. Trends of HbA1c and BMI in People with Type 2 Diabetes: A Japanese Claims-Based Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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  20. Serum triglyceride levels and incidence of hypertension in a general Japanese population: ISSA-CKD study.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
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

20 authors at 1 institution in 1 country.

Makiko AbeDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Hideyuki FujiiDivision of Endocrinology and Diabetes Mellitus, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Shunsuke FunakoshiDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Atsushi SatohDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Miki KawazoeDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Toshiki MaedaDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Kazuhiro TadaDivision of Nephrology and Rheumatology, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Soichiro YokotaDivision of Nephrology and Rheumatology, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Toshitaka YamanokuchiDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Chikara YoshimuraDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Ryosuke MimataDepartment of Anesthesiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Koji TakahashiDivision of Nephrology and Rheumatology, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Kenji ItoDivision of Nephrology and Rheumatology, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Tetsuhiko YasunoDivision of Nephrology and Rheumatology, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Takeshi KugaDepartment of Internal Medicine, Mitsutake Hospital, Iki, Japan.
Shigeki MukoubaraDepartment of Internal Medicine, Nagasaki Prefecture Iki Hospital, Iki, Japan.
Kozaburo AkiyoshiDepartment of Anesthesiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Daiji KawanamiDivision of Endocrinology and Diabetes Mellitus, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Kosuke MasutaniDivision of Nephrology and Rheumatology, Department of Internal Medicine, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Hisatomi ArimaDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan. harima@fukuoka-u.ac.jp.ORCID http://orcid.org/0000-0002-2064-2014
Fukuoka University · JP

Funding

iki city (japan) The grant does not have any award number.
6 · The paper itself

Abstract

introductionBoth body mass index (BMI) and waist circumference (WC) are associated with diabetes risk, and the difference between them in predictive ability for diabetes is still contentious. We conducted a population-based study to investigate and compare the association of them with diabetes by sex.

methodsThis study included a total of 4754 subjects aged 40-80 years with no diabetes at baseline between 2008 and 2017. Using multivariate Cox proportional hazards models, we calculated hazard ratios for diabetes according to tertiles of BMI or WC. Harrell's C statistics was applied to assess and compare the predictive ability of the models using BMI and WC.

resultsBoth BMI and WC showed the significant positive trends with diabetes risk. In men, the extreme tertiles (BMI > 25.1 kg/m

conclusionBoth BMI and WC showed a positive association with diabetes and offered a comparative predictive performance for diabetes in both sexes. The cut-off points, BMI 25.1 kg/m

Indexed as

Body mass indexDiabetesObesityWaist circumference

Identifiers

PMID34448106
PMCPMC8479044
OpenAlexW3195531250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.