Evidence map›Paper›PMID 32008434›Full record

Observational studyHypertension (Dallas, Tex. : 1979)2020

Urinary Albumin, Sodium, and Potassium and Cardiovascular Outcomes in the UK Biobank: Observational and Mendelian Randomization Analyses.

Daniela Zanetti, Helene Bergman, Stephen Burgess, Themistocles L Assimes, Vivek Bhalla, Erik Ingelsson

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in Hypertension (Dallas, Tex. : 1979), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05839860 (The Effect of Low and High Salt Intake on Hydration Status and Gastrointestinal Discomfort During Seven Hours of Dry Fasting), which is not on this map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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.

NCT05839860 nacompletednot on this mapstarted 2023, after this paper: background citation

The Effect of Low and High Salt Intake on Hydration Status and Gastrointestinal Discomfort During Seven Hours of Dry Fasting

TypeinterventionalSponsorOxford Brookes UniversityRan2023 to 2023Enrolled23ConditionsHealthyArmsSalt 3 g, Salt 6 g, Salt 9 g
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Kidney Function Measures and Mortality: A Mendelian Randomization Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Daniela ZanettiFrom the Division of Cardiovascular Medicine, Department of Medicine (D.Z., T.L.A., E.I.), Stanford University School of Medicine, CA.
Helene BergmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Sweden (H.B.).
Stephen BurgessMRC Biostatistics Unit (S.B.), University of Cambridge, United Kingdom.
Themistocles L AssimesFrom the Division of Cardiovascular Medicine, Department of Medicine (D.Z., T.L.A., E.I.), Stanford University School of Medicine, CA.
Vivek BhallaDivision of Nephrology, Department of Medicine (V.B.), Stanford University School of Medicine, CA.
Erik IngelssonFrom the Division of Cardiovascular Medicine, Department of Medicine (D.Z., T.L.A., E.I.), Stanford University School of Medicine, CA.
Stanford University · USKarolinska Institutet · SEUniversity of Cambridge · GB

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Causal associations of circulating biomarkers with cardiovascular diseaseR01HL135313 · NHLBI · STANFORD UNIVERSITY · PI INGELSSON, ERIK · 2017 to 2019
$1.6M
Medical Research Council MC_PC_12028Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00002/7NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

Urinary biomarkers are associated with cardiovascular disease, but the nature of these associations is not well understood. We performed multivariable-adjusted regression models to assess associations of random spot measurements of the urine sodium-potassium ratio (UNa/UK) and urine albumin adjusted for creatinine with cardiovascular risk factors, cardiovascular disease, and type 2 diabetes mellitus (T2D) in 478 311 participants of the UK Biobank. Further, we assessed the causal relationships of these kidney biomarkers, used as proxies for kidney function, with cardiovascular outcomes using the 2-sample Mendelian randomization approach. In observational analyses, UNa/UK showed significant inverse associations with atrial fibrillation, coronary artery disease, ischemic stroke, lipid-lowering medication, and T2D. In contrast, urine albumin adjusted for creatinine showed significant positive associations with atrial fibrillation, coronary artery disease, heart failure, hemorrhagic stroke, lipid-lowering medication, and T2D. We found a positive association between UNa/UK and albumin with blood pressure (BP), as well as with adiposity-related measures. After correcting for potential horizontal pleiotropy, we found evidence of causal associations of UNa/UK and albumin with BP (β systolic BP ≥2.63; β diastolic BP ≥0.85 SD increase in BP per SD change in UNa/UK and urine albumin adjusted for creatinine;

Indexed as

AdiposityAdultAgedAlbuminuriaBiomarkersCardiovascular DiseasesCausalityComorbidityConfounding Factors, EpidemiologicDiabetes Mellitus, Type 2DyslipidemiasFemaleFollow-Up StudiesGenetic PleiotropyGenome-Wide Association StudyHumansBiomarkersPotassiumSodiumblood pressurecardiovascular diseasescoronary artery diseaseheart failuretype 2 diabetes mellitus

Identifiers

PMID32008434
PMCPMC8032218
OpenAlexW3005254181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.