Evidence map›Paper›PMID 26405538›Full record

ArticleBiomedical reports2015

Association of

Chikara Ueyama, Hideki Horibe, Yuichiro Yamase, Tetsuo Fujimaki, Mitsutoshi Oguri, Kimihiko Kato, Masazumi Arai, Sachiro Watanabe, Toyoaki Murohara, Yoshiji Yamada

Open access · bronzeAbstract read
In one paragraph

Article in Biomedical reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Association between Genetic Variants ofJournal of cardiovascular development and disease · 2023
    Review
  10. Frontiers in endocrinology · 2022
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
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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

10 authors at 6 institutions in 1 country.

Chikara UeyamaDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507-8522, Japan.
Hideki HoribeDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507-8522, Japan.
Yuichiro YamaseDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507-8522, Japan.
Tetsuo FujimakiDepartment of Cardiovascular Medicine, Inabe General Hospital, Inabe, Mie 511-0428, Japan.
Mitsutoshi OguriDepartment of Cardiology, Japanese Red Cross Nagoya First Hospital, Nagoya, Aichi 453-8511, Japan.
Kimihiko KatoDepartment of Internal Medicine, Meitoh Hospital, Nagoya, Aichi 465-0025, Japan.
Masazumi AraiDepartment of Cardiology, Gifu Prefectural General Medical Center, Gifu 500-8717, Japan.
Sachiro WatanabeDepartment of Cardiology, Gifu Prefectural General Medical Center, Gifu 500-8717, Japan.
Toyoaki MuroharaDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan.
Yoshiji YamadaDepartment of Human Functional Genomics, Life Science Research Center, Mie University, Tsu, Mie 514-8507, Japan.
Gifu Prefectural Tajimi Hospital · JPGifu Prefectural General Medical Center · JPMeitetsu Hospital · JPMie University · JPNagoya University · JPShowa Inan General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although genome-wide association studies (GWASs) have identified various genes and loci in predisposition to metabolic syndrome (MetS) or each component of this condition, the genetic basis of MetS in individuals remains to be identified definitively. The aim of the present study was to examine the possible association of MetS in individuals with 29 polymorphisms that were previously identified as susceptibility loci for coronary artery disease or myocardial infarction by meta-analyses of GWASs. The study population comprised 1,822 subjects with MetS and 1,096 controls. Subjects with MetS had ≥3 of the 5 components of the diagnostic criteria for MetS, whereas control individuals had 0-1 of the 5 components. The genotypes for the 29 polymorphisms were determined by the multiplex bead-based Luminex assay. Comparisons of allele frequencies by the χ

Indexed as

diabetes mellitusdyslipidemiageneticsmetabolic syndromepolymorphism

Identifiers

PMID26405538
PMCPMC4534873
OpenAlexW2160367614

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.