Evidence map›Paper›PMID 30008153›Full record

ReviewCurrent rheumatology reports2018

Proteomics in Chronic Arthritis-Will We Finally Have Useful Biomarkers?

Christoph Kessel, Angela McArdle, Emely Verweyen, Toni Weinhage, Helmut Wittkowski, Stephen R Pennington, Dirk Foell

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
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

7 authors at 2 institutions in 2 countries.

Christoph KesselDepartment of Paediatric Rheumatology and Immunology, University of Muenster, Domagkstraße 3, 48149, Muenster, Germany.
Angela McArdleUCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland.
Emely VerweyenDepartment of Paediatric Rheumatology and Immunology, University of Muenster, Domagkstraße 3, 48149, Muenster, Germany.
Toni WeinhageDepartment of Paediatric Rheumatology and Immunology, University of Muenster, Domagkstraße 3, 48149, Muenster, Germany.
Helmut WittkowskiDepartment of Paediatric Rheumatology and Immunology, University of Muenster, Domagkstraße 3, 48149, Muenster, Germany.
Stephen R PenningtonUCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland.
Dirk FoellDepartment of Paediatric Rheumatology and Immunology, University of Muenster, Domagkstraße 3, 48149, Muenster, Germany. dfoell@uni-muenster.de.
University of Münster · DEUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCurrent technical advances enable the assessment of the complex changes in body fluid proteomes and thus allow for the discovery of biomarker signatures rather than just following differences of a single marker. In this review, we aim to summarize current approaches to discover and evaluate multi-biomarker panels for improved monitoring of chronic arthritis disease activity. RECENT

findingsMass spectrometry and affinity proteomic methodologies have been used to identify biomarker panels in synovial fluid, serum, plasma, or urine of pediatric and adult chronic arthritis patients. Notably, despite the numerous efforts to develop new and better biomarker panels, very few have undergone extensive analytical and clinical validation and been adopted into routine use for patient benefit. There remains a significant gap between discovery of chronic arthritis biomarker signatures and their validation for clinical use.

Indexed as

ArthritisBiomarkersChronic DiseaseHumansMass SpectrometryProteomicsReproducibility of ResultsBiomarkersBiomarkersDiscoveryDisease activityPeptidesProteinsProteomicsValidation

Identifiers

PMID30008153
OpenAlexW2883162633

What OpenQuestion holds

Textmetadata
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.