Evidence mapPaperPMID 33996288Full record

ArticlePeerJ2021

Lais Bride, Michel Naslavsky, Guilherme Lopes Yamamoto, Marilia Scliar, Lucia Hs Pimassoni, Paola Sossai Aguiar, Flavia de Paula, Jaqueline Wang, Yeda Duarte, Maria Rita Passos-Bueno and 2 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Interaction between theFrontiers in nutrition · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Association ofGenes · 2022
    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

12 authors at 3 institutions in 1 country.

Lais BrideBiotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.
Michel NaslavskyBiosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.ORCID 0000-0002-9068-1713
Guilherme Lopes YamamotoBiosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.
Marilia ScliarBiosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.
Lucia Hs PimassoniSchool of Science of Santa Casa de Misericórdia de Vitória, Vitória, Espírito Santo, Brazil.ORCID 0000-0002-1240-4008
Paola Sossai AguiarBiotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.
Flavia de PaulaBiotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.ORCID 0000-0001-8679-2982
Jaqueline WangBiosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.
Yeda DuarteSchool of Nursing, University of São Paulo, São Paulo, São Paulo, Brazil.
Maria Rita Passos-BuenoBiosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.
Mayana ZatzBiosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.
Flávia Imbroisi Valle ErreraBiotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.ORCID 0000-0002-8069-6372
Universidade de São Paulo · BRUniversidade Federal do Espírito Santo · BREscola Superior de Ciências da Santa Casa de Misericórdia de Vitória · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) and obesity are complex pandemic diseases in the 21st century. Worldwide, the T allele rs7903146 in the

methodsA total of 1,023 participants from an elderly census-based cohort called SABE (Saúde, Bem Estar e Envelhecimento-Health, Well-Being and Aging) were stratified by BMI status and type 2 diabetes presence. The

resultsThe association between the rs7903146 T allele and T2DM was inversely proportional to the BMI status, with an increased risk in the normal weight group (OR 3.36; 95% CI [1.46-7.74];

conclusionWe confirmed that the rs7903146 is both associated with T2DM and obesity. The

Indexed as

BMIObesityrs7903146TCF7L2Type 2 diabetes

Identifiers

PMID33996288
PMCPMC8106398
OpenAlexW3158292448

What Socratic holds

Textmetadata
LicenceCC BY
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.