Evidence map›Paper›PMID 22916057›Full record

ArticleJournal of geriatric cardiology : JGC2012

Metabolic syndrome vs. its components for prediction of cardiovascular mortality: A cohort study in Chinese elderly adults.

Dong-Ling Sun, Jian-Hua Wang, Bin Jiang, Liang-Shou Li, Lan-Sun Li, Lei Wu, Hai-Yun Wu, Yao He

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Mediterranean diets and metabolic syndrome status in the PREDIMED randomized trial.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2014
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  7. Metabolic syndrome, its components and mortality: A population-based study.Medical journal of the Islamic Republic of Iran · 2019
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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

8 authors.

Dong-Ling SunInstitute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China.
Jian-Hua Wang
Bin Jiang
Liang-Shou Li
Lan-Sun Li
Lei Wu
Hai-Yun Wu
Yao He

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe predictive value of the metabolic syndrome (MetS) for mortality from all-cause and cardiovascular disease (CVD) in the Chinese population is unclear. The aim of this present study was to compare MetS with its individual components as predictors of mortality in Chinese elderly adults.

methodsA cohort of 1,535 subjects (994 men and 541 women) aged 50 years or older was selected from employees of a machinery factory in 1994 and followed until 2009. Cox models were used to estimate the hazard ratios (HRs) predicted by MetS according to the harmonized definition and by its individual components.

resultsThe baseline prevalence of MetS was 28.0% in men and 48.4% in women. During a median follow-up of 15 years, 414 deaths occurred, of these, 153 participants died from CVD. Adjusted for age and gender, the HRs of mortality from all-cause and CVD in participants with MetS were 1.47 (95% confidence interval (CI): 1.20-1.80) and 1.96 (95%CI: 1.42-2.72), respectively, compared with those without MetS. Non-significant higher risk of CVD mortality was seen in those with one or two individual components (HR = 1.22, 95%CI: 0.59-2.50; HR = 1.82, 95%CI: 0.91-3.64, respectively), while a substantially higher risk of CVD mortality only appeared in those with 3, 4, or 5 components (HR = 2.81-3.72), compared with those with no components. On evaluating the MetS components individually, we found that, independent of MetS, only hypertension and impaired glucose predicted higher mortality.

conclusionsThe number of positive MetS components seems no more informative than classifying (dichotomous) MetS for CVD risks assessment in this Chinese cohort.

Indexed as

Cardiovascular diseaseChinese adultsCohort studyMetabolic syndrome

Identifiers

PMID22916057
PMCPMC3418900

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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.