Evidence map›Paper›PMID 29149219›Full record

ArticlePloS one2017

Characterization and classification of lupus patients based on plasma thermograms.

Nichola C Garbett, Guy N Brock, Jonathan B Chaires, Chongkham S Mekmaysy, Lynn DeLeeuw, Kathy L Sivils, John B Harley, Brad H Rovin, K B Kulasekera, Wael N Jarjour

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 19 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

10 authors at 4 institutions in 1 country.

Nichola C GarbettJames Graham Brown Cancer Center, Department of Medicine, University of Louisville, Louisville, KY, United States of America.ORCID http://orcid.org/0000-0002-8097-554X
Guy N BrockDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, United States of America.
Jonathan B ChairesJames Graham Brown Cancer Center, Department of Medicine, University of Louisville, Louisville, KY, United States of America.
Chongkham S MekmaysyJames Graham Brown Cancer Center, Department of Medicine, University of Louisville, Louisville, KY, United States of America.
Lynn DeLeeuwJames Graham Brown Cancer Center, Department of Medicine, University of Louisville, Louisville, KY, United States of America.
Kathy L SivilsArthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States of America.
John B HarleyU.S. Department of Veterans Affairs Medical Center, Cincinnati, OH, United States of America.
Brad H RovinNephrology Division, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America.
K B KulasekeraDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, United States of America.
Wael N JarjourDivision of Rheumatology and Immunology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America.
University of Louisville · USThe Ohio State University Wexner Medical Center · USCincinnati Children's Hospital Medical Center · USOklahoma Medical Research Foundation · US

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
PROJ 12: STEM CELL-BASED VACCINE FOR CANCER PROPHYLAXISP20RR018733 · NCRR · UNIVERSITY OF LOUISVILLE · PI CHAIRES, JONATHAN B. · 2003 to 2011
$18.9M
HLA GENE COMPLEMENTATION IN PRIMARY SJOGREN'S AND LUPUSR01AI024717 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI KOTTYAN, LEAH CLAIRE, WEIRAUCH, MATTHEW TYSON · 1987 to 2025
$7.8M
Genetic Linkage in LupusR37AI024717 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI HARLEY, JOHN BARKER · 2005 to 2014
$4.2M
Better Outcomes for Children: GWAS & PheWAS in eMERGEII.U01HG006828 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI HARLEY, JOHN BARKER, HOLM, INGRID ADELE · 2012 to 2014
$4.0M
Molecular Targets COBREP20GM103482 · NIGMS · UNIVERSITY OF LOUISVILLE · PI MILLER, DONALD M. · 2012 to 2012
$2.0M
Plasma DSC for early detection of disease and therapeutic efficacy in melanomaR21CA187345 · NCI · UNIVERSITY OF LOUISVILLE · PI GARBETT, NICHOLA C. · 2014 to 2015
$359k
In Situ Polymerizing Biodendrimer Scaffolds for Articular Cartilage RepairR43AR052221 · NIAMS · HYPERBRANCH MEDICAL TECHNOLOGY, INC. · PI NASLUND, ROBERT A. · 2006 to 2006
$239k
NCATS NIH HHS UL1 TR001070NCI NIH HHS R21 CA187345NCRR NIH HHS P20 RR018733NHGRI NIH HHS U01 HG006828NIAID NIH HHS R01 AI024717NIAID NIH HHS R37 AI024717NIAMS NIH HHS N01 AR062277NIAMS NIH HHS R43 AR052221NIGMS NIH HHS P20 GM103482
6 · The paper itself

Abstract

objectivePlasma thermograms (thermal stability profiles of blood plasma) are being utilized as a new diagnostic approach for clinical assessment. In this study, we investigated the ability of plasma thermograms to classify systemic lupus erythematosus (SLE) patients versus non SLE controls using a sample of 300 SLE and 300 control subjects from the Lupus Family Registry and Repository. Additionally, we evaluated the heterogeneity of thermograms along age, sex, ethnicity, concurrent health conditions and SLE diagnostic criteria.

methodsThermograms were visualized graphically for important differences between covariates and summarized using various measures. A modified linear discriminant analysis was used to segregate SLE versus control subjects on the basis of the thermograms. Classification accuracy was measured based on multiple training/test splits of the data and compared to classification based on SLE serological markers.

resultsMedian sensitivity, specificity, and overall accuracy based on classification using plasma thermograms was 86%, 83%, and 84% compared to 78%, 95%, and 86% based on a combination of five antibody tests. Combining thermogram and serology information together improved sensitivity from 78% to 86% and overall accuracy from 86% to 89% relative to serology alone. Predictive accuracy of thermograms for distinguishing SLE and osteoarthritis / rheumatoid arthritis patients was comparable. Both gender and anemia significantly interacted with disease status for plasma thermograms (p<0.001), with greater separation between SLE and control thermograms for females relative to males and for patients with anemia relative to patients without anemia.

conclusionPlasma thermograms constitute an additional biomarker which may help improve diagnosis of SLE patients, particularly when coupled with standard diagnostic testing. Differences in thermograms according to patient sex, ethnicity, clinical and environmental factors are important considerations for application of thermograms in a clinical setting.

Indexed as

AdultAgedAged, 80 and overCalorimetry, Differential ScanningCase-Control StudiesFemaleHumansLupus Erythematosus, SystemicMaleMiddle AgedSensitivity and Specificity

Identifiers

PMID29149219
PMCPMC5693473
OpenAlexW2769556225

What OpenQuestion holds

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LicenceCC BY
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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.