Evidence map›Paper›PMID 31108933›Full record

ArticleMetabolites2019

Urate and Nonanoate Mark the Relationship between Sugar-Sweetened Beverage Intake and Blood Pressure in Adolescent Girls: A Metabolomics Analysis in the ELEMENT Cohort.

Wei Perng, Lu Tang, Peter X K Song, Michael Goran, Martha Maria Tellez Rojo, Alejandra Cantoral, Karen E Peterson

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
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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

7 authors.

Wei PerngDepartment of Epidemiology, Colorado School of Public Health, Anschutz Medical Center, Aurora, CO 80045, USA. wei.perng@ucdenver.edu.
Lu TangDepartment of Biostatistics, University of Pittsburgh School of Public Health, Pittsburgh, PA 15261, USA. lutang@pitt.edu.ORCID 0000-0001-6143-9314
Peter X K SongDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48105, USA. pxsong@umich.edu.
Michael GoranProgram for Diabetes and Obesity, The Saban Research Institute, Children's Hospital of Los Angeles, Los Angeles, CA 90027, USA. goran@usc.edu.
Martha Maria Tellez RojoCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca 62100, México. mmtellez@insp.mx.
Alejandra CantoralCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca 62100, México. acantoral@hotmail.com.
Karen E PetersonDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48105, USA. karenep@umich.edu.ORCID 0000-0003-0471-1427

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kanakadurga Singer · 2010 to 2026
$20.3M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PADMANABHAN, VASANTHA, PETERSON, KAREN EILEEN · 2013 to 2018
$3.9M
NIH HHS P01ES022844NIH HHS P30 DK089503
6 · The paper itself

Abstract

We sought to identify metabolites that mark the relationship of sugar-sweetened beverage (SSB) intake with adiposity and metabolic risk among boys (

Indexed as

adolescentsblood pressureLASSOmetabolic riskmetabolomicsnonanoatesugar-sweetened beveragesurateuric acid

Identifiers

PMID31108933
PMCPMC6572261

What OpenQuestion 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 OpenQuestion graph.