Evidence map›Paper›PMID 30686107›Full record

ArticleJournal of the American Heart Association2019

Longitudinal Trajectories of Fasting Plasma Glucose and Risks of Cardiovascular Diseases in Middle Age to Elderly People Within the General Japanese Population: The Suita Study.

Soshiro Ogata, Makoto Watanabe, Yoshihiro Kokubo, Aya Higashiyama, Yoko M Nakao, Misa Takegami, Kunihiro Nishimura, Michikazu Nakai, Eri Kiyoshige, Kiminori Hosoda and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Soshiro Ogata1 Center for Cerebral and Cardiovascular Disease Information National Cerebral and Cardiovascular Center Suita Japan.
Makoto Watanabe2 Department of Preventive Cardiology National Cerebral and Cardiovascular Center Suita Japan.
Yoshihiro Kokubo2 Department of Preventive Cardiology National Cerebral and Cardiovascular Center Suita Japan.
Aya Higashiyama2 Department of Preventive Cardiology National Cerebral and Cardiovascular Center Suita Japan.
Yoko M Nakao2 Department of Preventive Cardiology National Cerebral and Cardiovascular Center Suita Japan.
Misa Takegami3 Department of Preventive Medicine and Epidemiology Informatics National Cerebral and Cardiovascular Center Suita Japan.
Kunihiro Nishimura3 Department of Preventive Medicine and Epidemiology Informatics National Cerebral and Cardiovascular Center Suita Japan.
Michikazu Nakai1 Center for Cerebral and Cardiovascular Disease Information National Cerebral and Cardiovascular Center Suita Japan.
Eri Kiyoshige1 Center for Cerebral and Cardiovascular Disease Information National Cerebral and Cardiovascular Center Suita Japan.
Kiminori Hosoda4 Division of Endocrinology and Metabolism National Cerebral and Cardiovascular Center Suita Japan.
Tomonori Okamura7 Department of Preventive Medicine and Public Health Keio University Tokyo Japan.
Yoshihiro Miyamoto1 Center for Cerebral and Cardiovascular Disease Information National Cerebral and Cardiovascular Center Suita Japan.
National Cerebral and Cardiovascular Center · JPKeio University · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Few previous studies used information on changes in fasting plasma glucose ( FPG ) assessed at multiple points in time in relationship to cardiovascular disease ( CVD ) incidence. The present study aimed to identify subgroups of FPG trajectories with assessing CVD incidence. Methods and Results The present study was based on the Suita study, a population-based cohort study in Japan. The primary outcome was incidence of the first CVD events consisting of stroke and coronary heart diseases between 1989 and 2013. The main exposure was FPG assessed every 2 years. We used joint latent class mixed models to derive FPG trajectories over time while evaluating cumulative incidence of CVD , and categorized participants into several subgroups based on those trajectories and cumulative incidence. We observed 356 and 243 CVD events during the median follow-up of 17.2 and 20.2 years among 3120 men and 3482 women, respectively. The joint latent mixed models found 3 subgroups in men and 2 subgroups in women. Of the 3 subgroups in men, 1 subgroup had FPG levels that increased sharply (96.5-205.0 mg/dL from aged 40 to 80 years) and higher CVD cumulative incidence. Of the 2 subgroups in women, 1 subgroup had FPG levels that increased sharply (97.7-190.5 mg/dL from aged 40 to 80 years) and tended to have slightly higher CVD incidence compared with the other subgroup. Conclusion It can be important to manage CVD risk factors especially for people whose FPG trajectories sharply increased to prevent CVD .

Indexed as

Urban PopulationAdultAgedAged, 80 and overAge FactorsBiomarkersBlood GlucoseCardiovascular DiseasesFastingFemaleFollow-Up StudiesHumansIncidenceJapanMaleMiddle AgedBiomarkersBlood Glucoseblood glucose trajectorycardiovascular diseasesepidemiology

Identifiers

PMID30686107
PMCPMC6405575
OpenAlexW2913796580

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.