Evidence map›Paper›PMID 35892673›Full record

ReviewBiomedicines2022

Multi-Omic Biomarkers for Patient Stratification in Sjogren's Syndrome-A Review of the Literature.

Lucia Martin-Gutierrez, Robert Wilson, Madhura Castelino, Elizabeth C Jury, Coziana Ciurtin

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 1 country.

Lucia Martin-GutierrezCentre for Rheumatology Research, Division of Medicine, University College London, London WC1E 6JF, UK.
Robert WilsonDepartment of Rheumatology, University College London Hospitals NHS Trust, London NW1 2PG, UK.
Madhura CastelinoDepartment of Rheumatology, University College London Hospitals NHS Trust, London NW1 2PG, UK.
Elizabeth C JuryCentre for Rheumatology Research, Division of Medicine, University College London, London WC1E 6JF, UK.ORCID 0000-0002-2389-3396
Coziana CiurtinCentre for Adolescent Rheumatology Versus Arthritis, Division of Medicine, University College London, London WC1E 6JF, UK.ORCID 0000-0002-8911-4113
University College London · GBUniversity College London Hospitals NHS Foundation Trust · GBArthritis UK · GB

Funding

Medical Research Council MR/X004694/1MRC EMINENT project grant MR/X004694/1
6 · The paper itself

Abstract

Sjögren's syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD) characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands. Patients can also present other extra glandular manifestations, such as arthritis, anaemia and fatigue or various types of organ involvement. Due to its heterogenicity, along with the lack of effective treatments, the diagnosis and management of this disease is challenging. The objective of this review is to summarize recent multi-omic publications aiming to identify biomarkers in tears, saliva and peripheral blood from SS patients that could be relevant for their better stratification aiming at improved treatment selection and hopefully better outcomes. We highlight the relevance of pro-inflammatory cytokines and interferon (IFN) as biomarkers identified in higher concentrations in serum, saliva and tears. Transcriptomic studies confirmed the upregulation of IFN and interleukin signalling in patients with SS, whereas immunophenotyping studies have shown dysregulation in the immune cell population frequencies, specifically CD4

Indexed as

clinical relevancemulti-omicspatient stratificationSjogren’s syndrome

Identifiers

PMID35892673
PMCPMC9332255
OpenAlexW4286587612

What Socratic holds

Textmetadata
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 Socratic graph.