Evidence map›Paper›PMID 26061328›Full record

Observational studyMedicine2015

Associations of Metabolic Syndrome and its Components With Mortality in the Elderly: A Cohort Study of 73,547 Taiwanese Adults.

Yung-Feng Yen, Hsiao-Yun Hu, I-Feng Lin, Yun-Ju Lai, Vincent Yi-Fong Su, Sheng-Wei Pan, Wen-Ying Ting, Wei-Juin Su

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. New Simplified Diagnostic Decision Trees for the Detention of Metabolic Syndrome in the Elderly.International journal of environmental research and public health · 2020
    Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Metabolic syndrome, its components and mortality: A population-based study.Medical journal of the Islamic Republic of Iran · 2019
    Article
  17. Article
  18. Article
  19. The association between gallstone disease and plaque in the abdominopelvic arteries.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2017
    Article
  20. 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

8 authors at 1 institution in 1 country.

Yung-Feng YenFrom the Section of Infectious Diseases, Taipei City Hospital, Taipei City Government (YY); School of Medicine, National Yang-Ming University (YY, YL, VYS, SP, WS); Department of Education and Research, Taipei City Hospital (HH); Institute of Public Health, National Yang-Ming University, Taipei (HH, IL); Division of Endocrinology and Metabolism, Department of Internal Medicine, Puli Branch of Taichung Veterans General Hospital, Nantou (YL); Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC (VYS, SP, WT, WS).
Hsiao-Yun Hu
I-Feng Lin
Yun-Ju Lai
Vincent Yi-Fong Su
Sheng-Wei Pan
Wen-Ying Ting
Wei-Juin Su
National Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Available evidence shows that metabolic syndrome (Mets) has clear adverse effects for middle-aged and pre-elderly adults; however, the effect of Mets on mortality among elderly adults remains unclear. In addition, the comparative utility of Mets and its component for predicting mortality among the elderly has not been clearly established. Using data from a large Taiwanese cohort, we evaluated the effect of Mets and its components on subsequent all-cause and cause-specific mortality overtime among the elderly. A total of 73,547 elders (age ≥65 years) participated in the Taipei Elderly Health Examination Program from 2007 to 2010. Mets was diagnosed using the adult treatment panel III criteria, and mortality was ascertained by using national death records. Time-dependent analysis was used to evaluate associations of Mets and its components with all-cause mortality, cardiovascular disease (CVD) mortality, and expanded CVD mortality. This retrospective cohort study found that 42.6% of elders had Mets. During 194,057 person-years of follow-up, 2944 deaths were observed. After adjusting for sociodemographic characteristics and comorbidities, Mets was associated with increased risk of expanded CVD mortality (hazard ratio [HR], 1.27; 95% CI, 1.10-1.46) but not all-cause or CVD mortality. Among Mets components, decreased high-density lipoprotein cholesterol (HDL-C, HR 1.25, 95% CI 1.13-1.37) and hyperglycemia (HR 1.21, 95% CI 1.12-1.31) were associated with a significant increase in all-cause mortality. Hypertension and low HDL-C were predictors of CVD mortality and expanded CVD mortality, and, as compared with Mets, were associated with a higher risk of expanded CVD mortality. The present findings indicate that, in elderly adults, individual components of Mets are better predictors of all-cause and cause-specific mortality than is Mets as a whole. Our results suggest that future efforts should focus on preventing and managing individual risk factors (particularly hypertension, low HDL-C, and hyperglycemia) rather than on "diagnosing" Mets in elders.

Indexed as

AgedAged, 80 and overAge FactorsAsian PeopleCardiovascular DiseasesCause of DeathCohort StudiesFemaleHumansMaleMetabolic SyndromePrognosisRetrospective StudiesTaiwan

Identifiers

PMID26061328
PMCPMC4616481
OpenAlexW2321644636

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.