Evidence map›Paper›PMID 29871777›Full record

ArticleKidney international2018

Serum metabolites are associated with all-cause mortality in chronic kidney disease.

Jiun-Ruey Hu, Josef Coresh, Lesley A Inker, Andrew S Levey, Zihe Zheng, Casey M Rebholz, Adrienne Tin, Lawrence J Appel, Jingsha Chen, Mark J Sarnak and 1 more

Abstract read
In one paragraph

Article in Kidney international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jiun-Ruey HuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Lesley A InkerDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
Zihe ZhengDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Adrienne TinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Lawrence J AppelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Jingsha ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Mark J SarnakDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA; Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA. Electronic address: mgrams2@jhmi.edu.

Funding

Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Proteomic Approach to CKD Biomarker Discovery and ValidationU01DK085689 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2009 to 2019
$5.6M
CAMARO-ESRD: Cardiac Arrhythmia Monitoring and Related Outcomes in End Stage Renal Disease PatientsR01HL132372 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GUALLAR, ELISEO, SHAFI, TARIQ · 2017 to 2019
$2.3M
Estimating GFR from a Panel of Endogenous Filtration Markers (Panel eGFR)R01DK097020 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2012 to 2014
$1.9M
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
Metabolomics for Identifying Biomarkers of Dietary Intake & Kidney Disease ProgressionK01DK107782 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI REBHOLZ, CASEY MARIE · 2016 to 2020
$778k
Volume Management in Dialysis Patients Guided by Pulse Amplitude RationR03DK104012 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SHAFI, TARIQ · 2015 to 2016
$151k
NHLBI NIH HHS R01 HL132372NIDDK NIH HHS K01 DK107782NIDDK NIH HHS K08 DK092287NIDDK NIH HHS R01 DK097020NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R03 DK104012NIDDK NIH HHS U01 DK085689
6 · The paper itself

Abstract

Chronic kidney disease (CKD) involves significant metabolic abnormalities and has a high mortality rate. Because the levels of serum metabolites in patients with CKD might provide insight into subclinical disease states and risk for future mortality, we determined which serum metabolites reproducibly associate with mortality in CKD using a discovery and replication design. Metabolite levels were quantified via untargeted liquid chromatography and mass spectroscopy from serum samples of 299 patients with CKD in the Modification of Diet in Renal Disease (MDRD) study as a discovery cohort. Six among 622 metabolites were significantly associated with mortality over a median follow-up of 17 years after adjustment for demographic and clinical covariates, including urine protein and measured glomerular filtration rate. We then replicated associations with mortality in 963 patients with CKD from the African American Study of Kidney Disease and Hypertension (AASK) cohort over a median follow-up of ten years. Three of the six metabolites identified in the MDRD cohort replicated in the AASK cohort: fumarate, allantoin, and ribonate, belonging to energy, nucleotide, and carbohydrate pathways, respectively. Point estimates were similar in both studies and in meta-analysis (adjusted hazard ratios 1.63, 1.59, and 1.61, respectively, per doubling of the metabolite). Thus, selected serum metabolites were reproducibly associated with long-term mortality in CKD beyond markers of kidney function in two well characterized cohorts, providing targets for investigation.

Indexed as

AdultAgedAllantoinBiomarkersCause of DeathCohort StudiesFemaleFollow-Up StudiesFumaratesHumansKidneyMaleMetabolomicsMiddle AgedRenal Insufficiency, ChronicAllantoinBiomarkersFumarateschronic kidney diseasemetabolomicsmortalityuremic toxins

Identifiers

PMID29871777
PMCPMC6054894

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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.