Evidence map›Paper›PMID 35351578›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2022

Association of Uremic Solutes With Cardiovascular Death in Diabetic Kidney Disease.

Hima Sapa, Orlando M Gutiérrez, Michael G Shlipak, Ronit Katz, Joachim H Ix, Mark J Sarnak, Mary Cushman, Eugene P Rhee, Paul L Kimmel, Ramachandran S Vasan and 7 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Investigation of pH-dependentInternational journal of obesity (2005) · 2025
    Article
  10. Serum Trimethylamine N-Oxide Levels as a Predictor of Peripheral Arterial Disease in Kidney Transplant Recipients.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  11. Article
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  20. Association of urine and plasma ADMA with atherosclerotic risk in DKD cardiovascular disease risk in diabetic kidney disease: findings from the Chronic Renal Insufficiency Cohort (CRIC) study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 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

17 authors at 12 institutions in 1 country.

Hima SapaDivision of Nephrology, Department of Internal Medicine, University Hospitals Cleveland, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
Orlando M GutiérrezDepartments of Medicine and Epidemiology, University of Alabama, Birmingham, Alabama.
Michael G ShlipakKidney Health Research Collaborative and Department of Medicine, San Francisco Veterans Administration Medical Center and University of California-San Francisco, San Francisco, California.
Ronit KatzKidney Research Institute, University of Washington, Seattle, Washington.
Joachim H IxDivision of Nephrology and Hypertension, Department of Medicine, University of California-San Diego, San Diego, California.
Mark J SarnakDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts.
Mary CushmanDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont.
Eugene P RheeDivision of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard University, Boston, Massachusetts.
Paul L KimmelNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Ramachandran S VasanDepartments of Medicine and Epidemiology, School of Medicine and School of Public Health, Boston University, Boston, Massachusetts.
Sarah J SchraubenRenal Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Harold I FeldmanRenal Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jesse C SeegmillerDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
Henri BrunengraberDepartment of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
Thomas H HostetterDivision of Nephrology, Department of Internal Medicine, University Hospitals Cleveland, School of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Nephrology, Department of Medicine, University of North Carolina, Chapel Hill, North Carolina.
Jeffrey R SchellingDivision of Nephrology, Department of Internal Medicine, MetroHealth Campus, School of Medicine, Case Western Reserve University, Cleveland, Ohio; Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, Ohio. Electronic address: jeffrey.schelling@case.edu.
CKD Biomarkers Consortium
Case Western Reserve University · USUniversity of Pennsylvania · USBoston University · USHarvard University · USNational Institute of Diabetes and Digestive and Kidney Diseases · USSan Francisco VA Medical Center · USTufts Medical Center · USUniversity of Alabama at Birmingham · USUniversity of California, San Diego · USUniversity of Minnesota · USUniversity of Vermont · USUniversity of Washington · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Mechanisms of tubular atrophy in renal diseaseR01DK067528 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI SCHELLING, JEFFREY R · 2005 to 2025
$7.1M
Mechanisms of Ischemic Kidney Injury and RepairR01DK039773 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI JOSEPH VINCENT BONVENTRE · 1987 to 2026
$6.2M
Chronic Kidney Disease (CKD) Biomarkers Consortium Data Coordinating CenterU01DK103225 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SCHRAUBEN, SARAH JEANNE · 2014 to 2020
$5.5M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Identification of CKD and CVD BiomarkersU01DK106965 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI BRUNENGRABER, HENRI, HOSTETTER, THOMAS HEARD · 2015 to 2019
$1.6M
A Mixed Methods Study of Chronic Kidney Disease (CKD) Self-ManagementK23DK118198 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SCHRAUBEN, SARAH JEANNE · 2019 to 2023
$1.0M
NIDDK NIH HHS K23 DK118198NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK039773NIDDK NIH HHS R01 DK067528NIDDK NIH HHS U01 DK103225NIDDK NIH HHS U01 DK106965NIH HHS S10 OD026880NIH HHS S10 OD030463NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

RATIONALE &

objectiveCardiovascular disease (CVD) is a major cause of mortality among people with diabetic kidney disease (DKD). The pathophysiology is inadequately explained by traditional CVD risk factors. The uremic solutes trimethylamine-N-oxide (TMAO) and asymmetric and symmetric dimethylarginine (ADMA, SDMA) have been linked to CVD in kidney failure with replacement therapy (KFRT), but data are limited in populations with diabetes and less severe kidney disease. STUDY

designObservational cohort. SETTINGS &

participantsRandom subcohort of 555 REGARDS (Reasons for Geographic and Racial Differences in Stroke) study participants with diabetes and estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m EXPOSURE: ADMA, SDMA, and TMAO assayed by liquid chromatography-mass spectrometry in plasma and urine. OUTCOME: Cardiovascular mortality (primary outcome); all-cause mortality and incident KFRT (secondary outcomes). ANALYTICAL APPROACH: Plasma concentrations and ratios of urine to plasma concentrations of ADMA, SDMA, and TMAO were tested for association with outcomes. Adjusted Cox regression models were fitted and hazard ratios of outcomes calculated per standard deviation and per doubling, and as interquartile comparisons.

resultsThe mean baseline eGFR was 44 mL/min/1.73 m LIMITATIONS: Single cohort, restricted to patients with diabetes and eGFR < 60 mL/min/1.73 m

conclusionsHigher plasma concentrations and lower ratios of urine to plasma concentrations of uremic solutes were independently associated with cardiovascular and all-cause mortality in DKD. Associations of ratios of urine to plasma concentrations with mortality suggest a connection between renal uremic solute clearance and CVD pathogenesis.

Indexed as

Cardiovascular DiseasesDiabetes MellitusDiabetic NephropathiesArginineBiomarkersHumansMethylaminesOxidesArginineBiomarkersMethylaminesOxidestrimethyloxamineAsymmetric dimethylarginine (ADMA)biomarkerscardiovascular disease (CVD)diabetic kidney disease (DKD)end-stage kidney disease (ESKD)estimated glomerular filtration rate (eGFR)kidney functionrenal clearancerisk stratificationsymmetric dimethylarginine (SDMA)trimethylamine-N-oxide (TMAO)uremic solute

Identifiers

PMID35351578
PMCPMC9554797
OpenAlexW4220697586

What OpenQuestion holds

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Registered trials

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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.