Evidence map›Paper›PMID 29785132›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2018

Influence of

Fernanda Cristina Carvalho Mattos Magno, Helena Chrispim Guaraná, Ana Carolina Proença Fonseca, Giselda Maria Kalil Cabello, João Régis Ivar Carneiro, Aline Pereira Pedrosa, Ana Carolina Ximenes, Eliane Lopes Rosado

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. FTO in health and disease.Frontiers in cell and developmental biology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Advances in multi-omics study of biomarkers of glycolipid metabolism disorder.Computational and structural biotechnology journal · 2022
    Review
  18. Review
  19. Nutrients · 2021
    Article
  20. 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

8 authors at 2 institutions in 1 country.

Fernanda Cristina Carvalho Mattos MagnoInstitute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Helena Chrispim GuaranáInstitute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Ana Carolina Proença FonsecaOswaldo Cruz Foundation (FIOCRUZ), Oswaldo Cruz Institute (IOC), Human Genetics Laboratory, Rio de Janeiro, RJ, Brazil.
Giselda Maria Kalil CabelloOswaldo Cruz Foundation (FIOCRUZ), Oswaldo Cruz Institute (IOC), Human Genetics Laboratory, Rio de Janeiro, RJ, Brazil.
João Régis Ivar CarneiroFederal University of Rio de Janeiro, University Hospital Clementino Fraga Filho, Service of Nutrology, Rio de Janeiro, RJ, Brazil.
Aline Pereira PedrosaInstitute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Ana Carolina XimenesInstitute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Eliane Lopes RosadoInstitute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Universidade Federal do Rio de Janeiro · BRFundação Oswaldo Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fat mass and obesity-related (

objectiveThe aim of the present study was to evaluate the influence of the rs9939609 single-nucleotide polymorphism of the MATERIALS AND

methodsThe study comprised 70 women, aged between 20 and 48 years, from Rio de Janeiro, Brazil. The participants were selected according to the body mass index between 40 and 60 kg/m

resultsParticipants with the AA genotype had lower values of ghrelin and IL6 and higher values of leptin than those with TT and TA in the postprandial period. Comparing the plasma concentrations of ghrelin, insulin, IL6 and TNFα intragenotypes, it was observed that those with TT had decreased leptin and increased IL6 at the postprandial period. Subjects with TA showed increased postprandial IL6, and those with AA had decreased postprandial ghrelin. There was no difference in TNFα intra- and intergenotypes. The postprandial sensations of hunger were lower in AA than those with TT. There were differences between genotypes regarding ingested grams of protein by weight, cholesterol, B3, B5, B6 and B12 vitamins, and selenium potassium and sodium minerals.

conclusionThese findings suggest that genetics may exert an influence on physiologic factors and might alter eating behavior.

Indexed as

binge eatingfood intakehormonesinflammatory cytokinesobesityrs9939609

Identifiers

PMID29785132
PMCPMC5957059
OpenAlexW2801341736

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.