Evidence map›Paper›PMID 31089516›Full record

ArticleJournal of obesity & metabolic syndrome2017

Association between Serum Dipeptidyl Peptidase-4 Concentration and Obesity-related Factors in Health Screen Examinees.

Ji Yeon Lee, Byoung Kuk Jang, Min Kyung Song, Hye Soon Kim, Mi-Kyung Kim

Abstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2017. 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
–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

4 citing papers in PubMed.

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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

5 authors.

Ji Yeon LeeDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Byoung Kuk JangDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Min Kyung SongDepartment of Food Science and Nutrition, Graduate School, Keimyung University, Daegu, Korea.
Hye Soon KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Mi-Kyung KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDipeptidyl peptidase-4 (DPP-4) is an aminopeptidase that inhibits the enzymatic degradation of glucagon-like peptide-1, glucose-dependent insulinotropic polypeptides, neuropeptides, and various chemokines. Recent studies reported that serum DPP-4 concentration is correlated with clinical parameters of obesity. However, research on these correlations has never been conducted in Korea. Therefore, we investigated the relationship between serum DPP-4 concentration and various clinical parameters of obesity in the Korean population.

methodsPatients who visited the Health Promotion Center at Keimyung University Dongsan Medical Center for a regular medical examination between January 2013 and March 2013 and consented to participate in this study were included. We measured and analyzed parameters of obesity. In addition, serum DPP-4 concentration was determined using an enzyme-linked immunosorbent assay kit.

resultsSerum DPP-4 concentration was positively correlated with lean body mass, total cholesterol level, and creatinine level. Serum DPP-4 concentration was higher in the obese group than in the normal body mass index (BMI) group. No significant difference in serum DPP-4 concentration was found between the metabolically healthy group and metabolically unhealthy group.

conclusionSerum DPP-4 concentration was higher in the obesity group than in the normal BMI group, which was associated with obesity-related factors.

Indexed as

BiomarkerDipeptidyl peptidase-4Obesity

Identifiers

PMID31089516
PMCPMC6484912

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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.