Evidence map›Paper›PMID 30568717›Full record

ArticleNutrition & metabolism2018

Association of serum glycine levels with metabolic syndrome in an elderly Chinese population.

Xianghui Li, Liang Sun, Wenduo Zhang, Hongxia Li, Siming Wang, Hongna Mu, Qi Zhou, Ying Zhang, Yueming Tang, Yu Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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  15. Effects of glycine on metabolic syndrome components: a review.Journal of endocrinological investigation · 2022
    Review
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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

13 authors at 1 institution in 1 country.

Xianghui Li1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Liang Sun1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Wenduo Zhang1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Hongxia Li1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Siming Wang1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Hongna Mu1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Qi Zhou1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Ying Zhang1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Yueming Tang1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Yu Wang1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Wenxiang Chen1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Ruiyue Yang1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.ORCID 0000-0002-2304-6728
Jun Dong1Peking University Fifth School of Clinical Medicine, The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730 People's Republic of China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have identified a negative association between serum glycine (Gly) levels and metabolic syndrome (MetS). However, this association has not been fully established in the elderly.

methodsA total of 472 Chinese individuals (272 males and 200 females, 70.1 ± 6.6 years old) participated in a population-based, cross-sectional survey in Beijing Hospital. The MetS and its components were defined based on the 2006 International Diabetes Federation (IDF) standard for Asians. Serum Gly concentration was determined using isotope dilution liquid chromatography tandem mass spectrometry.

resultThe proportion of patients with MetS decreased gradually with increasing Gly levels (

conclusionsGly levels are associated with cardiometabolic characteristics and MetS in the elderly, and the association is more pronounced in very old people than in younger old people.

Indexed as

ElderlyMetabolic syndromeSerum glycine

Identifiers

PMID30568717
PMCPMC6297971
OpenAlexW2904994357

What OpenQuestion holds

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LicenceCC BY
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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.