Evidence map›Paper›PMID 28984759›Full record

ArticleMedicine2017

Serum levels of uncoupling proteins in patients with differential insulin resistance: A community-based cohort study.

Heng-Chih Pan, Chin-Chan Lee, Kuei-Mei Chou, Shang-Chieh Lu, Chiao-Yin Sun

Open access · goldAbstract read
In one paragraph

Article in Medicine, 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
0.8field-weighted citation impact, top 27% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  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

5 authors at 2 institutions in 1 country.

Heng-Chih PanDivision of Nephrology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung School of Medicine, Chang Gung University, Taoyuan Divisions of Endocrinology and Metabolism, Department of Internal Medicine Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan.
Chin-Chan Lee
Kuei-Mei Chou
Shang-Chieh Lu
Chiao-Yin Sun
Chang Gung Memorial Hospital · TWKeelung Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The uncoupling protein (UCP) belongs to a family of energy-dissipating proteins in mitochondria. Increasing evidences have indicated that UCPs have immense impact on glucose homeostasis and are key proteins in metabolic syndrome. For applying the findings to clinical practice, we designed a study to explore the association between serum UCPs 1-3 and insulin resistance. This investigation prospectively recorded demographical parameter and collected blood samples of 1071 participants from 4 districts in Northeastern Taiwan during the period from August 2013 to July 2014. Propensity score matching by age and sex in patients with top and bottom third homeostasis model assessment of insulin resistance (HOMA-IR) levels was performed, and 326 subjects were enrolled for further studies. The mean age of the patients was 59.4 years and the majority of them (65.5%) were females. The prevalence of metabolic syndrome was 35.5%. Our results demonstrated that serum UCPs 1-3 were significantly associated with differences in HOMA-IR levels. Multiple logistic regression analysis indicated that low UCP 1 and features of metabolic syndrome, namely hypertension, diabetes, body mass index, and high-density lipoprotein, were independent determinants for high HOMA-IR levels. We thus determined that low serum UCP 1 is a predictor for high resistance to insulin.

Indexed as

Case-Control StudiesCohort StudiesFemaleHomeostasisHumansInsulinInsulin ResistanceLogistic ModelsMaleMetabolic SyndromeMiddle AgedMitochondrial Uncoupling ProteinsPrevalencePropensity ScoreTaiwanInsulinMitochondrial Uncoupling Proteins

Identifiers

PMID28984759
PMCPMC5737995
OpenAlexW2763082101

What Socratic holds

Textmetadata
LicenceCC BY-ND
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.