Evidence map›Paper›PMID 29553059›Full record

ArticleJournal of epidemiology2018

A Point System for Predicting 10-Year Risk of Developing Type 2 Diabetes Mellitus in Japanese Men: Aichi Workers' Cohort Study.

Hiroshi Yatsuya, Yuanying Li, Yoshihisa Hirakawa, Atsuhiko Ota, Masaaki Matsunaga, Hilawe Esayas Haregot, Chifa Chiang, Yan Zhang, Koji Tamakoshi, Hideaki Toyoshima and 1 more

Abstract read
In one paragraph

Article in Journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

11 authors.

Hiroshi YatsuyaDepartment of Public Health, Fujita Health University School of Medicine.ORCID 0000-0002-6220-9251
Yuanying LiDepartment of Public Health, Fujita Health University School of Medicine.ORCID 0000-0002-4059-6406
Yoshihisa HirakawaDepartment of Public Health and Health Systems, Nagoya University Graduate School of Medicine.
Atsuhiko OtaDepartment of Public Health, Fujita Health University School of Medicine.ORCID 0000-0001-6452-1823
Masaaki MatsunagaDepartment of Public Health, Fujita Health University School of Medicine.
Hilawe Esayas HaregotDepartment of Public Health and Health Systems, Nagoya University Graduate School of Medicine.
Chifa ChiangDepartment of Public Health and Health Systems, Nagoya University Graduate School of Medicine.
Yan ZhangDepartment of Public Health and Health Systems, Nagoya University Graduate School of Medicine.
Koji TamakoshiDepartment of Nursing, Nagoya University School of Health Science.
Hideaki ToyoshimaEducation and Clinical Research Training Center, Anjo Kosei Hospital.
Atsuko AoyamaDepartment of Public Health and Health Systems, Nagoya University Graduate School of Medicine.ORCID 0000-0003-2717-4919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelatively little evidence exists for type 2 diabetes mellitus (T2DM) prediction models from long-term follow-up studies in East Asians. This study aims to develop a point-based prediction model for 10-year risk of developing T2DM in middle-aged Japanese men.

methodsWe followed 3,540 male participants of Aichi Workers' Cohort Study, who were aged 35-64 years and were free of diabetes in 2002, until March 31, 2015. Baseline age, body mass index (BMI), smoking status, alcohol consumption, regular exercise, medication for dyslipidemia, diabetes family history, and blood levels of triglycerides (TG), high density lipoprotein cholesterol (HDLC) and fasting blood glucose (FBG) were examined using Cox proportional hazard model. Variables significantly associated with T2DM in univariable models were simultaneously entered in a multivariable model for determination of the final model using backward variable selection. Performance of an existing T2DM model when applied to the current dataset was compared to that obtained in the present study's model.

resultsDuring the median follow-up of 12.2 years, 342 incident T2DM cases were documented. The prediction system using points assigned to age, BMI, smoking status, diabetes family history, and TG and FBG showed reasonable discrimination (c-index: 0.77) and goodness-of-fit (Hosmer-Lemeshow test, P = 0.22). The present model outperformed the previous one in the present subjects.

conclusionThe point system, once validated in the other populations, could be applied to middle-aged Japanese male workers to identify those at high risk of developing T2DM. In addition, further investigation is also required to examine whether the use of this system will reduce incidence.

Indexed as

AdultCohort StudiesDiabetes Mellitus, Type 2Follow-Up StudiesHumansIncidenceJapanMaleMiddle AgedReproducibility of ResultsRisk Assessmentcohort studyincidencerisk predictiontype 2 diabetes mellitus

Identifiers

PMID29553059
PMCPMC6048299

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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.