Evidence map›Paper›PMID 28356726›Full record

ArticleClinical interventions in aging2017

Searching for the relationship between the parameters of metabolic syndrome and the rs17782313 (T>C) polymorphism of the

Jacek Brodowski, Małgorzata Szkup, Anna Jurczak, Sylwia Wieder-Huszla, Agnieszka Brodowska, Maria Laszczyńska, Beata Karakiewicz, Katarzyna Kęcka, Elżbieta Grochans

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 43% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Frontiers in endocrinology · 2020
    Article
  9. Association ofJournal of biosciences · 2019
    Article
  10. 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

9 authors at 1 institution in 1 country.

Jacek BrodowskiPrimary Care Department, Pomeranian Medical University in Szczecin.
Małgorzata SzkupDepartment of Nursing, Pomeranian Medical University in Szczecin.
Anna JurczakDepartment of Nursing, Pomeranian Medical University in Szczecin.
Sylwia Wieder-HuszlaDepartment of Nursing, Pomeranian Medical University in Szczecin.
Agnieszka BrodowskaClinic of Gynecology, Endocrinology, and Gynecologic Oncology, Pomeranian Medical University in Szczecin.
Maria LaszczyńskaDepartment of Histology and Developmental Biology, Pomeranian Medical University in Szczecin.
Beata KarakiewiczPublic Health Department, Pomeranian Medical University in Szczecin, Żołnierska, Szczecin, Poland.
Katarzyna KęckaPrimary Care Department, Pomeranian Medical University in Szczecin.
Elżbieta GrochansDepartment of Nursing, Pomeranian Medical University in Szczecin.
Pomeranian Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MS) is widespread in the human population, and its incidence is continuously increasing, generating serious health problems. The purpose of this study was to find the relationship between the parameters of MS and the melanocortin type 4 receptor (

Indexed as

PostmenopauseAgedBody Mass IndexFemaleGenetic Predisposition to DiseaseGenotypeHumansLogistic ModelsMetabolic SyndromeMiddle AgedOdds RatioPolandPolymorphism, GeneticReceptor, Melanocortin, Type 4MC4R protein, humanReceptor, Melanocortin, Type 4melanocortin type 4 receptor (MC4R)metabolic syndromepostmenopausal women

Identifiers

PMID28356726
PMCPMC5367763
OpenAlexW2603981005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.