Evidence map›Paper›PMID 35470676›Full record

ArticleJournal of the American Heart Association2022

Weak Association Between Genetic Markers of Hyperuricemia and Cardiorenal Outcomes: Insights From the STANISLAS Study Cohort With a 20-Year Follow-Up.

Mehmet Kanbay, Constance Xhaard, Edith Le Floch, Claire Dandine-Roulland, Nicolas Girerd, João Pedro Ferreira, Jean-Marc Boivin, Sandra Wagner, Delphine Bacq-Daian, Jean-François Deleuze and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. SLC2A9 rs16890979 reduces uric acid absorption by kidney organoids.Frontiers in cell and developmental biology · 2023
    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 2 countries.

Mehmet KanbayDivision of Nephrology Department of Medicine Koc University School of Medicine Istanbul Turkey.ORCID 0000-0002-1297-0675
Constance XhaardUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.ORCID 0000-0002-1914-2696
Edith Le FlochCentre National de Recherche en Génomique Humaine Institut François JacobCEAUniversité Paris-Saclay Evry France.
Claire Dandine-RoullandCentre National de Recherche en Génomique Humaine Institut François JacobCEAUniversité Paris-Saclay Evry France.
Nicolas GirerdUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.
João Pedro FerreiraUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.ORCID 0000-0002-2304-6138
Jean-Marc BoivinUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.
Sandra WagnerUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.
Delphine Bacq-DaianCentre National de Recherche en Génomique Humaine Institut François JacobCEAUniversité Paris-Saclay Evry France.
Jean-François DeleuzeCentre National de Recherche en Génomique Humaine Institut François JacobCEAUniversité Paris-Saclay Evry France.
Faiez ZannadUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.ORCID 0000-0001-7456-1570
Patrick RossignolUniversité de LorraineINSERM CIC-P 1433CHRU de NancyINSERM U1116F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists) Nancy France.ORCID 0000-0001-8009-3873
Inserm · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRKoç University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Hyperuricemia is associated with poor cardiovascular outcomes, although it is uncertain whether this relationship is causal in nature. This study aimed to: (1) assess the heritability of serum uric acid (SUA) levels, (2) conduct a genome-wide association study on SUA levels, and (3) investigate the association between certain single-nucleotide polymorphisms and target organ damage. Methods and Results The STANISLAS (Suivi Temporaire Annuel Non-Invasif de la Santé des Lorrains Assurés Sociaux) study cohort is a single-center longitudinal cohort recruited between 1993 and 1995 (visit 1), with a last visit (visit 4 [V4]) performed ≈20 years apart. Serum lipid profile, SUA, urinary albumin/creatinine ratio, estimated glomerular filtration rate, 24-hour ambulatory blood pressure monitoring, transthoracic echocardiography, pulse wave velocity, and genotyping for each participant were assessed at V4. A total of 1573 participants were included at V4, among whom 1417 had available SUA data at visit 1. Genome-wide association study results highlighted multiple single-nucleotide polymorphisms on the

Indexed as

HyperuricemiaBlood Pressure Monitoring, AmbulatoryCarotid Intima-Media ThicknessFollow-Up StudiesGenetic MarkersGenome-Wide Association StudyGlucose Transport Proteins, FacilitativeHumansPolymorphism, Single NucleotidePulse Wave AnalysisRisk FactorsUric AcidGenetic MarkersGlucose Transport Proteins, FacilitativeSLC2A9 protein, humanUric Acidcardiovascular diseasegenome‐wide association studysingle‐nucleotide polymorphismuric acid

Identifiers

PMID35470676
PMCPMC9238600
OpenAlexW4224926148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.