Evidence mapPaperPMID 37152921Full record

ArticleFrontiers in endocrinology2023

Growth differentiation factor-15/adiponectin ratio as a potential biomarker for metabolic syndrome in Han Chinese.

Shuai Zheng, Min Shen, Yu Qian, Shushu Li, Yang Chen, Hemin Jiang, Hui Lv, Doudou Chen, Ruiling Zhao, Xuqin Zheng and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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

14 authors at 2 institutions in 1 country.

Shuai ZhengDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Min ShenDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yu QianDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shushu LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yang ChenDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hemin JiangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hui LvDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Doudou ChenDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ruiling ZhaoDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xuqin ZhengDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Min SunDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Tao YangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yun ShiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qi FuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Growth differentiation factor-15 (GDF-15) and adiponectin are adipokines that regulate metabolism. This study aimed to evaluate the roles of GDF-15, adiponectin, and GDF-15/adiponectin ratio (G/A ratio) as biomarkers for detecting metabolic syndrome (MS). Materials and methods: This cross-sectional study included 676 participants aged 20-70 years in Jurong, China. The participants were divided into four groups based on sex and age (<40 and ≥40 years). MS was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III criteria. Receiver operating characteristic curves were used to evaluate the performance of GDF-15, adiponectin, and the G/A ratio in predicting MS. Results: The prevalence of MS was 22.0% (149/676). Logistic regression analysis indicated that the G/A ratio and adiponectin levels, but not GDF-15 levels, were correlated with MS [odds ratio; 95% CI 1.010 (1.006-1.013) and 0.798 (0.735-0.865), respectively] after adjusting for confounding factors. The G/A ratio displayed a significant relationship with MS in each subgroup and with each MS component in both men and women; however, adiponectin concentrations were significantly associated with MS and all its components only in men (all Conclusions: This study suggests that the G/A ratio and adiponectin are potential biomarkers for detecting MS in women and men, respectively.

Indexed as

Metabolic SyndromeAdiponectinAdultBiomarkersCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleAdiponectinBiomarkersadiponectinbiomarkersGDF-15GDF-15/adiponectin ratiometabolic syndrome

Identifiers

PMID37152921
PMCPMC10154592
OpenAlexW4366426958

What Socratic 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 Socratic graph.