Evidence map›Paper›PMID 29547573›Full record

SynthesisNutrients2018

Association between Sarcopenia and Metabolic Syndrome in Middle-Aged and Older Non-Obese Adults: A Systematic Review and Meta-Analysis.

Huaqi Zhang, Song Lin, Tianlin Gao, Feng Zhong, Jing Cai, Yongye Sun, Aiguo Ma

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 5 pooled it
11.1field-weighted citation impact, top 1% 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

113 citing papers in PubMed, 5 syntheses or guidelines pooled it, 183 citations in OpenAlex.

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53 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Huaqi ZhangThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. huaqi_erin@163.com.
Song LinThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. 15146001303@163.com.
Tianlin GaoThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. gaotl@qdu.edu.cn.
Feng ZhongThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. zhfoeg@163.com.
Jing CaiThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. jingfox@163.com.
Yongye SunThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. yongye.sun@126.com.
Aiguo MaThe College of Public Health, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. magfood@qdu.edu.cn.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The associations between sarcopenia and metabolic syndrome (MetS) in non-obese middle-aged and older adults remain controversial. Thus, this meta-analysis aimed to evaluate the overall prevalence of MetS and the correlations between sarcopenia and MetS in middle-aged and older non-obese adults. We performed a systematic searched strategy using PUBMED, EMBASE and Web of Science databases for relevant observational studies investigating sarcopenia and MetS up to 11 May 2017. The polled prevalence of MetS and odds ratios with 95% confidence intervals (CI), as well as subgroup analyses were calculated using a random effects model. Twelve articles with a total of 35,581 participants were included. The overall prevalence of MetS was 36.45% (95% CI, 28.28-45.48%) in middle-aged and older non-obese adults with sarcopenia. Our analysis demonstrated a positive association between sarcopenia and MetS (OR = 2.01, 95% CI, 1.63-2.47). The subgroup analysis showed that both larger cohort size and the use of dual-energy X-ray absorptiometry to measure body composition can enhance the relationship. Our study revealed that a higher proportion of MetS in middle-aged and older non-obese people with sarcopenia. Moreover, sarcopenia was positively associated with MetS in this population. Further large-scale prospective cohort studies are needed to investigate the causality between sarcopenia and MetS.

Indexed as

AgingAdultAgedAged, 80 and overAge FactorsBody CompositionGeriatric AssessmentHumansMetabolic SyndromeMiddle AgedOdds RatioPrevalenceRisk FactorsSarcopeniameta-analysismetabolic syndromemiddle-aged and oldernon-obesesarcopenia

Identifiers

PMID29547573
PMCPMC5872782
OpenAlexW2794068192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.