Evidence map›Paper›PMID 30115106›Full record

ArticleArthritis research & therapy2018

Serum biomarker for diagnostic evaluation of pulmonary arterial hypertension in systemic sclerosis.

Lisa M Rice, Julio C Mantero, Eric A Stratton, Rod Warburton, Kari Roberts, Nicholas Hill, Robert W Simms, Robyn Domsic, Harrison W Farber, Robert Layfatis

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
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  3. Article
  4. Review
  5. Recent developments in connective tissue disease associated pulmonary arterial hypertension.International journal of cardiology. Congenital heart disease · 2024
    Review
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  7. Article
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  19. Proteomic analysis of pulmonary arterial hypertension.Therapeutic advances in chronic disease · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Lisa M RiceBoston University School of Medicine, E5 Arthritis Center, 72 E Concord Street, Boston, MA, 0211, USA. lisarice@bu.edu.
Julio C ManteroBoston University School of Medicine, E5 Arthritis Center, 72 E Concord Street, Boston, MA, 0211, USA.
Eric A StrattonBoston University School of Medicine, E5 Arthritis Center, 72 E Concord Street, Boston, MA, 0211, USA.
Rod WarburtonTufts University, Boston, MA, USA.
Kari RobertsTufts University, Boston, MA, USA.
Nicholas HillTufts University, Boston, MA, USA.
Robert W SimmsBoston University School of Medicine, E5 Arthritis Center, 72 E Concord Street, Boston, MA, 0211, USA.
Robyn DomsicUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Harrison W FarberBoston University School of Medicine, E5 Arthritis Center, 72 E Concord Street, Boston, MA, 0211, USA.
Robert LayfatisUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Boston University · USTufts University · USUniversity of Pittsburgh Medical Center · US

Funding

Translational studies for identifying and targeting novel pathways in systemic sclerosis pathogenesisP50AR060780 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOMSIC, ROBYN THERESE · 2011 to 2021
$14.9M
Rheumatic Diseases Research Core CentersP30AR061271 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITFIELD, MICHAEL L · 2011 to 2015
$3.1M
Innate immunity in dermal fibrosis and systemic sclerosisR01AR051089 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAFYATIS, ROBERT A. · 2005 to 2015
$2.8M
NIAMS NIH HHS P30 AR061271NIAMS NIH HHS P50 AR060780NIAMS NIH HHS R01 AR051089
6 · The paper itself

Abstract

backgroundSystemic sclerosis-associated pulmonary arterial hypertension (SSc-PAH) is one of the leading causes of death in SSc. Identification of a serum-based proteomic diagnostic biomarker for SSc-PAH would allow for rapid non-invasive screening and could positively impact patient survival. Identification and validation of novel proteins could potentially facilitate the identification of SSc-PAH, and might also point to important protein mediators in pathogenesis.

methodsThirteen treatment-naïve SSc-PAH patients had serum collected at time of diagnosis and were used as the discovery cohort for the protein-expression biomarker. Two proteins, Midkine and Follistatin-like 3 (FSTL3) were then validated by enzyme-linked immunosorbent assays. Midkine and FSTL3 were tested in combination to identify SSc-PAH and were validated in two independent cohorts of SSc-PAH (n = 23, n = 11).

resultsEighty-two proteins were found to be differentially regulated in SSc-PAH sera. Two proteins (Midkine and FSTL3) were also shown to be elevated in publicly available data and their expression was evaluated in independent cohorts. In the validation cohorts, the combination of Midkine and FSTL3 had an area under the receiver operating characteristic curve (AUC) of 0.85 and 0.92 with respective corresponding measures of sensitivity of 76% and 91%, and specificity measures of 76% and 80%.

conclusionsThese findings indicate that there is a clear delineation between overall protein expression in sera from SSc patients and those with SSc-PAH. The combination of Midkine and FSTL3 can serve as an SSc-PAH biomarker and are potential drug targets for this rare disease population.

Indexed as

AgedAged, 80 and overBiomarkersEarly DiagnosisFemaleFollistatin-Related ProteinsHumansHypertension, PulmonaryMaleMiddle AgedMidkineScleroderma, SystemicSensitivity and SpecificityBiomarkersFollistatin-Related ProteinsFstl3 protein, humanMDK protein, humanMidkineBiomarkersClassificationProteomicPulmonary arterial hypertensionScleroderma

Identifiers

PMID30115106
PMCPMC6097341
OpenAlexW2887201746

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.