Evidence map›Paper›PMID 32368073›Full record

ReviewVascular health and risk management2020

Metabolic Syndrome for Cardiovascular Disease Morbidity and Mortality Among General Japanese People: A Mini Review.

Jun Watanabe, Kazuhiko Kotani

Abstract readReview
In one paragraph

Review in Vascular health and risk management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

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  15. Prevalence of Metabolic Syndrome in Patients with Type 2 Diabetes in Japan: A Retrospective Cross-Sectional Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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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

2 authors.

Jun WatanabeCenter for Community Medicine, Jichi Medical University, Shimotsuke-City, Japan.ORCID 0000-0003-4477-4238
Kazuhiko KotaniCenter for Community Medicine, Jichi Medical University, Shimotsuke-City, Japan.ORCID 0000-0001-8119-633X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe importance of management of metabolic syndrome (MetS) for risk reduction of cardiovascular disease (CVD) has been recognized worldwide. Because of the comparatively unique characteristics of bodily figure/obesity and incident CVD in Japan, the relevance of MetS on CVD can be still discussed among Japanese people. The present study aimed to review briefly the relationship of MetS with CVD morbidity/mortality among general Japanese people.

methodsPopulation-based prospective cohort studies evaluating the predictive value of MetS on CVD morbidity/mortality via a PubMed search up to 2019 were summarized.

resultsWe identified two studies on morbidity that reported MetS to predict CVD morbidity. We identified three studies on mortality, and these studies showed an increased direction of hazard ratio (HR) of CVD mortality, while one study reported an insignificant prediction of MetS for CVD mortality. In the meta-analysis method, MetS significantly predicted CVD morbidity (HR=1.71 [95% confidence interval=1.34-2.18] in men and HR=1.89 [95% confidence interval=1.45-2.46] in women) as well as CVD mortality (HR=1.68 [95% confidence interval=1.37-2.06] in men and HR=1.73 [95% confidence interval=1.39-2.15] in women).

conclusionAmong general Japanese people, MetS can be a positive predictor of CVD morbidity/mortality. Since the studies are limited, more research is needed to establish the findings.

Indexed as

Asian PeopleAdultAgedCardiovascular DiseasesFemaleHumansJapanMaleMetabolic SyndromeMiddle AgedPrognosisRisk AssessmentRisk Factorscardiometabolic healthdisease morbiditydisease mortalityobesity

Identifiers

PMID32368073
PMCPMC7182458

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Registered trials

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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.