Evidence map›Paper›PMID 30297602›Full record

ArticleDiagnostics (Basel, Switzerland)2018

Validation of a Novel Modified Aptamer-Based Array Proteomic Platform in Patients with End-Stage Renal Disease.

Zhongji Han, Zhousheng Xiao, Kamyar Kalantar-Zadeh, Hamid Moradi, Tariq Shafi, Sushrut S Waikar, L Darryl Quarles, Zhi Yu, Adrienne Tin, Josef Coresh and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 24 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 4 institutions in 1 country.

Zhongji HanDepartment of Medicine-Nephrology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. zhan10@uthsc.edu.
Zhousheng XiaoDepartment of Medicine-Nephrology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. zxiao2@uthsc.edu.ORCID 0000-0002-3363-5673
Kamyar Kalantar-ZadehDepartment of Medicine, University of California, Irvine, CA 92868, USA. kkz@uci.edu.
Hamid MoradiDepartment of Medicine, University of California, Irvine, CA 92868, USA. hmoradi@uci.edu.
Tariq ShafiDepartment of Epidemiology, Biostatistics and Medicine, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA. tshafi@jhmi.edu.
Sushrut S WaikarDivision of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. swaikar@bwh.harvard.edu.
L Darryl QuarlesDepartment of Medicine-Nephrology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. dquarles@uthsc.edu.
Zhi YuJohns Hopkins Bloomberg School of Public Health Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD 21205, USA. zyu33@jhmi.edu.
Adrienne TinJohns Hopkins Bloomberg School of Public Health Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD 21205, USA. atin1@jhu.edu.
Josef CoreshJohns Hopkins Bloomberg School of Public Health Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD 21205, USA. coresh@jhu.edu.
Csaba P KovesdyDepartment of Medicine-Nephrology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. ckovesdy@uthsc.edu.ORCID 0000-0002-8204-911X
Johns Hopkins University · USUniversity of Tennessee Health Science Center · USUniversity of California, Irvine · USBrigham and Women's Hospital · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
CSRD VA IK2 CX001043NCATS NIH HHS UL1 TR000448NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

End stage renal disease (ESRD) is characterized by complex metabolic abnormalities, yet the clinical relevance of specific biomarkers remains unclear. The development of multiplex diagnostic platforms is creating opportunities to develop novel diagnostic and therapeutic approaches. SOMAscan is an innovative multiplex proteomic platform which can measure >1300 proteins. In the present study, we performed SOMAscan analysis of plasma samples and validated the measurements by comparison with selected biomarkers. We compared concentrations of SOMAscan-measured prostate specific antigen (PSA) between males and females, and validated SOMAscan concentrations of fibroblast growth factor 23 (FGF23), FGF receptor 1 (FGFR1), and FGFR4 using Enzyme-Linked immunosorbent assay (ELISA). The median (25th and 75th percentile) SOMAscan PSA level in males and females was 4304.7 (1815.4 to 7259.5) and 547.8 (521.8 to 993.4) relative fluorescence units (

Indexed as

biomarkerend-stage renal diseaseSOMAscanvalidation

Identifiers

PMID30297602
PMCPMC6316431
OpenAlexW2897401444

What OpenQuestion holds

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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.