Evidence map›Paper›PMID 22047152›Full record

ReviewMolecular diagnosis & therapy2011

Protein array diagnostics for guiding therapy in rheumatoid arthritis.

Peter Szodoray, Philip Alex

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 2 countries.

Peter SzodorayInstitute of Immunology, Rikshospitalet, University of Oslo, Norway. palex@jhmi.edu or palex@sent.com
Philip Alex
Johns Hopkins University · USUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and effective management of rheumatoid arthritis (RA) are pivotal, given the progressive, chronic, inflammatory, multi-systemic nature of the disease. Currently, proper initiation of adequate, individually tailored interventions in RA is delayed by the difficulty of early diagnosis and the limitations of disease activity and therapeutic response assessment tools. This is a significant challenge to rheumatologists, further complicated by the dynamic and progressively evolving autoimmune nature of RA, which is characterized by several immune mediators in a complex network that regulates the perpetuation of inflammation. Protein arrays constitute the most advanced current technology that can provide a comprehensive parallel analysis of this diverse network in RA, providing an individualized insight into immune status and host immune response. The last few years have seen significant transitions in the field of protein arrays, demonstrated by a technologic shift from the bench to the bedside, paving the way for the medical and scientific community to deliver patient-specific assessments and personalized management. Screening of protein arrays with sera or tissues from patients with RA enables the probing of immune responses and the identification of autoantibody signatures that can be used for the diagnosis and therapeutic management of patients. This article reviews the technology and the applications for protein arrays in the diagnosis and prognosis of RA. Clinical assessment tools could be derived from protein arrays, which may provide a means to continually track patients, allowing better evaluation of intervention strategies on a patient-specific basis and identification of diagnostic and disease activity biomarkers that could be used to guide optimal therapy in RA.

Indexed as

AnimalsArthritis, RheumatoidHumansProtein Array Analysis

Identifiers

PMID22047152
OpenAlexW2041355283

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.