Evidence map›Paper›PMID 35010944›Full record

ArticleNutrients2021

The Association between Fasting Glucose and Sugar Sweetened Beverages Intake Is Greater in Latin Americans with a High Polygenic Risk Score for Type 2 Diabetes Mellitus.

María Lourdes López-Portillo, Andrea Huidobro, Eduardo Tobar-Calfucoy, Cristian Yáñez, Rocío Retamales-Ortega, Macarena Garrido-Tapia, Johanna Acevedo, Fabio Paredes, Vicente Cid-Ossandon, Catterina Ferreccio and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2021. 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. 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

11 authors.

María Lourdes López-PortilloPrograma de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.ORCID 0000-0002-0887-1949
Andrea HuidobroDepartamento de Ciencias Preclínicas, Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile.
Eduardo Tobar-CalfucoyPrograma de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.ORCID 0000-0002-4686-8468
Cristian YáñezPrograma de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.
Rocío Retamales-OrtegaPrograma de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.
Macarena Garrido-TapiaFacultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 8328888, Chile.
Johanna AcevedoFacultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 8328888, Chile.
Fabio ParedesFacultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 8328888, Chile.
Vicente Cid-OssandonFacultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 8328888, Chile.
Catterina FerreccioAdvanced Center for Chronic Diseases, ACCDiS, Santiago 8380000, Chile.
Ricardo A VerdugoPrograma de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.ORCID 0000-0001-5668-5449

Funding

CONICYT, Chile Doctorate Fellowship 21150938CONICYT, Chile FONDAP 15130011CONICYT, Chile FONDEF D10E1007CONICYT, Chile FONDEQUIP EQM140157
6 · The paper itself

Abstract

Chile is one of the largest consumers of sugar-sweetened beverages (SSB) world-wide. However, it is unknown whether the effects from this highly industrialized food will mimic those reported in industrialized countries or whether they will be modified by local lifestyle or population genetics. Our goal is to evaluate the interaction effect between SSB intake and T2D susceptibility on fasting glucose. We calculated a weighted genetic risk score (GRSw) based on 16 T2D risk SNPs in 2828 non-diabetic participants of the MAUCO cohort. SSB intake was categorized in four levels using a food frequency questionnaire. Log-fasting glucose was regressed on SSB and GRSw tertiles while accounting for socio-demography, lifestyle, obesity, and Amerindian ancestry. Fasting glucose increased systematically per unit of GRSw (β = 0.02 ± 0.006,

Indexed as

AdultAgedBlood GlucoseChileCross-Sectional StudiesDiabetes Mellitus, Type 2FastingFemaleHumansLinear ModelsMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesRisk FactorsSugar-Sweetened BeveragesBlood Glucosefasting glucosegenetic risk scoregenotype by environment interactionLatin American ancestrynutritional epidemiologysugar-sweetened beveragestype 2 diabetes mellitus

Identifiers

PMID35010944
PMCPMC8746587

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.