Evidence map›Paper›PMID 27920511›Full record

ArticleClinical interventions in aging2016

Relationships between

Iwona Rotter, Karolina Skonieczna-Żydecka, Danuta Kosik-Bogacka, Grażyna Adler, Aleksandra Rył, Maria Laszczyńska

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Frequency of PPAR-γ, FTO and ABCC8 genetic variation in Pakistani cardiovascular smokers.Environmental science and pollution research international · 2020
    Article
  7. Association ofJournal of biosciences · 2019
    Article
  8. Review
  9. 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 at 1 institution in 1 country.

Iwona RotterDepartment of Medical Rehabilitation.
Karolina Skonieczna-ŻydeckaDepartment of Gerontobiology.
Danuta Kosik-BogackaDepartment of Biology and Medical Parasitology.
Grażyna AdlerDepartment of Gerontobiology.
Aleksandra RyłDepartment of Histology and Developmental Biology, Pomeranian Medical University, Szczecin, Poland.
Maria LaszczyńskaDepartment of Histology and Developmental Biology, Pomeranian Medical University, Szczecin, Poland.
Pomeranian Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetabolic disorders, including MetS, obesity, and lipid disorders, may be related to genetic factors. Metabolic disorders are associated with decreased TS levels in aging men. The aim of this study was to evaluate the relationship between SUBJECTS AND

methodsThis study involved 272 men of Caucasian descent aged 50-75 years. Lipid profile, including TCh, LDL, HDL, and TG, was evaluated by spectrophotometric method. Anthropometric measurements concerned WC and blood pressure. MetS was diagnosed according to the criteria of the IDF. Sex hormone profile, including TST, FTS, E

resultsThis study did not show links between the analyzed genetic polymorphisms and the presence of MetS, T2DM, HT, and obesity. However, higher concentrations of TCh and LDL were found in men with the

conclusion

Indexed as

AgedAlpha-Ketoglutarate-Dependent Dioxygenase FTOAnthropometryBlood PressureGene FrequencyGenetic Predisposition to DiseaseHumansLogistic ModelsMaleMetabolic SyndromeMiddle AgedPolandPolymorphism, Single NucleotidePPAR gammaReceptor, Melanocortin, Type 4Risk FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanMC4R protein, humanPPAR gammaReceptor, Melanocortin, Type 4aging menFTOgenesMC4Rmetabolic syndromePPARγsex hormones

Identifiers

PMID27920511
PMCPMC5126003
OpenAlexW2556107763

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.