Evidence map›Paper›PMID 26819617›Full record

ArticleInternational journal of endocrinology2015

Betatrophin Acts as a Diagnostic Biomarker in Type 2 Diabetes Mellitus and Is Negatively Associated with HDL-Cholesterol.

Min Yi, Rong-Ping Chen, Rui Yang, Xian-Feng Guo, Jia-Chun Zhang, Hong Chen

Abstract read
In one paragraph

Article in International journal of endocrinology, 2015. 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. Article
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  4. Review
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  10. TheInternational journal of endocrinology · 2020
    Article
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  13. Article
  14. Review
  15. G3 (Bethesda, Md.) · 2017
    Article
  16. 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

6 authors.

Min YiDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Rong-Ping ChenDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Rui YangDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Xian-Feng GuoDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Jia-Chun ZhangDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Hong ChenDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. By assessing its circulating concentrations in type 2 diabetes mellitus (T2DM) patients, we aimed to explore the associations of betatrophin with various metabolic parameters and evaluate its diagnostic value in T2DM. Methods. A total of 58 non-diabetes-mellitus (NDM) subjects and 73 age- and sex-matched newly diagnosed T2DM patients were enrolled. Correlation analyses between circulating betatrophin levels and multiple metabolic parameters were performed. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of betatrophin concentration in T2DM. Results. Circulating betatrophin levels were approximately 1.8 times higher in T2DM patients than in NDM individuals (median 747.12 versus 407.41 pg/mL, P < 0.001). Correlation analysis showed that betatrophin was negatively associated with high-density lipoprotein cholesterol (HDL-C) levels in all subjects. ROC curve analysis identified betatrophin as a potent diagnostic biomarker for T2DM. The optimal cut-off point of betatrophin concentration for predicting T2DM was 501.23 pg/mL. Conclusions. Serum betatrophin levels were markedly increased in newly diagnosed T2DM patients and further elevated in obese T2DM subjects. Betatrophin was negatively correlated with HDL-C levels. Our findings indicate that betatrophin could be a potent diagnostic biomarker for T2DM.

Identifiers

PMID26819617
PMCPMC4706922

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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.