Evidence map›Paper›PMID 24458076›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2014

Biomarkers of vascular calcification and mortality in patients with ESRD.

Julia J Scialla, W H Linda Kao, Ciprian Crainiceanu, Stephen M Sozio, Pooja C Oberai, Tariq Shafi, Josef Coresh, Neil R Powe, Laura C Plantinga, Bernard G Jaar and 1 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
5.3field-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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

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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

11 authors at 6 institutions in 2 countries.

Julia J SciallaDepartment of Medicine, University of Miami, Miami, Florida;, †Department of Epidemiology,, §Department of Biostatistics, and, ‡Department of Medicine, Johns Hopkins University, Baltimore, Maryland;, ‖Department of Medicine, San Francisco General Hospital and University of California San Francisco, San Francisco, California;, ¶Department of Epidemiology, Emory University, Atlanta, Georgia;, *Nephrology Center of Maryland, Baltimore, Maryland, ††Hospital for Sick Children, University Health Network and University of Toronto, Toronto, Ontario, Canada.
W H Linda Kao
Ciprian Crainiceanu
Stephen M Sozio
Pooja C Oberai
Tariq Shafi
Josef Coresh
Neil R Powe
Laura C Plantinga
Bernard G Jaar
Rulan S Parekh
Johns Hopkins University · USJohns Hopkins Medicine · USCancer Research And Biostatistics · USEmory University · USUniversity of California, San Francisco · USUniversity of Miami · US

Funding

Institute for Clinical and Translational Research (KL2)KL2RR025006 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$12.9M
RENAL DISEASE EPIDEMIOLOGY TRAINING GRANTT32DK007732 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 1995 to 2024
$7.7M
Longitudinal Study of DialysisR01DK072367 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PAREKH, RULAN S · 2007 to 2011
$3.7M
Retained Organic Solutes and Clinical Outcomes in HemodialysisR01DK080123 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POWE, NEIL R. · 2008 to 2012
$3.2M
PROCESS, OUTCOME AND QUALITY OF CARE IN ESRDR01DK059616 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI POWE, NEIL R. · 2000 to 2004
$3.1M
RISK FACTORS FOR CV DISEASE IN A DIALYSIS COHORTR01HL062985 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2000 to 2003
$2.4M
Identification of Genes for ESRD in African AmericansU01DK070657 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI KAO, WEN HONG LINDA · 2005 to 2007
$2.0M
PATIENT ORIENTED RESEARCH IN KIDNEY DISEASEK24DK002643 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POWE, NEIL R. · 1999 to 2009
$1.4M
Residual Kidney Function in ESRD: Measurements, Serum Markers and OutcomesK23DK083514 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SHAFI, TARIQ · 2010 to 2014
$904k
Dietary Acid Load, Subclinical Acidosis and Outcomes in Chronic Kidney DiseaseK23DK095949 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCIALLA, JULIA J · 2012 to 2016
$839k
Genetic Epidemiology of NAFLD and T2DMK01DK067207 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI KAO, WEN HONG LINDA · 2005 to 2009
$642k
DIALYSIS CARE: CHOICES, OUTCOMES, COSTS AND TRADEOFFSR01HS008365 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI POWE, NEIL R. · 1994 to 1998
–
AHRQ HHS R01 HS008365AHRQ HHS R01HS008365NCRR NIH HHS 5KL2RR025006NCRR NIH HHS KL2 RR025006NHLBI NIH HHS R01 HL062985NHLBI NIH HHS R01HL62985NIDDK NIH HHS 5K01DK067207-05NIDDK NIH HHS 5R01DK072367-03NIDDK NIH HHS 5U01DK070657-03NIDDK NIH HHS K01 DK067207NIDDK NIH HHS K23 DK083514NIDDK NIH HHS K23DK083514NIDDK NIH HHS K23 DK095949NIDDK NIH HHS K23DK095949NIDDK NIH HHS K24 DK002643NIDDK NIH HHS K24DK02643NIDDK NIH HHS R01 DK059616NIDDK NIH HHS R01DK059616NIDDK NIH HHS R01 DK072367NIDDK NIH HHS R01 DK080123NIDDK NIH HHS R01DK080123NIDDK NIH HHS T32 DK007732NIDDK NIH HHS T32DK007732-14NIDDK NIH HHS U01 DK070657
6 · The paper itself

Abstract

backgroundVascular calcification is common among patients undergoing dialysis and is associated with mortality. Factors such as osteoprotegerin (OPG), osteopontin (OPN), bone morphogenic protein-7 (BMP-7), and fetuin-A are involved in vascular calcification. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: OPG, OPN, BMP-7, and fetuin-A were measured in blood samples from 602 incident dialysis patients recruited from United States dialysis centers between 1995 and 1998 as part of the Choices for Healthy Outcomes In Caring for ESRD Study. Their association with all-cause and cardiovascular mortality were assessed using Cox proportional hazards models adjusted for demographic characteristics, comorbidity, serum phosphate, and calcium. An interaction with diabetes was tested because of its known association with vascular calcification. Predictive accuracy of selected biomarkers was explored by C-statistics in nested models with training and validation subcohorts.

resultsHigher OPG and lower fetuin-A levels were associated with higher mortality over up to 13 years of follow-up (median, 3.4 years). The adjusted hazard ratios (HR) for highest versus lowest tertile were 1.49 (95% confidence interval [95% CI], 1.08 to 2.06) for OPG and 0.69 (95% CI, 0.52 to 0.92) for fetuin-A. In stratified models, the highest tertile of OPG was associated with higher mortality among patients without diabetes (HR, 2.42; 95% CI, 1.35 to 4.34), but not patients with diabetes (HR, 1.26; 95% CI, 0.82 to 1.93; P for interaction=0.001). In terms of cardiovascular mortality, higher fetuin-A was associated with lower risk (HR, 0.85 per 0.1 g/L: 95% CI, 0.75 to 0.96). In patients without diabetes, higher OPG was associated with greater risk (HR for highest versus lowest tertile, 2.91; 95% CI, 1.06 to 7.99), but not in patients with diabetes or overall. OPN and BMP-7 were not independently associated with outcomes overall. The addition of OPG and fetuin-A did not significantly improve predictive accuracy of mortality.

conclusionsOPG and fetuin-A may be risk factors for all-cause and cardiovascular mortality in patients undergoing dialysis, but do not improve risk prediction.

Indexed as

AdultAgedalpha-2-HS-GlycoproteinBiomarkersBone Morphogenetic Protein 7Chi-Square DistributionComorbidityDiabetes MellitusFemaleHumansKaplan-Meier EstimateKidney Failure, ChronicMaleMiddle AgedMultivariate AnalysisOsteopontinAHSG protein, humanalpha-2-HS-GlycoproteinBiomarkersBMP7 protein, humanBone Morphogenetic Protein 7OsteopontinOsteoprotegerinSPP1 protein, humanTNFRSF11B protein, humandiabetesend-stage renal diseasevascular calcification

Identifiers

PMID24458076
PMCPMC3974354
OpenAlexW2166460234

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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.