Evidence map›Paper›PMID 28560621›Full record

SynthesisClinical reviews in allergy & immunology2017

Lymphocytes as Biomarkers of Therapeutic Response in Rheumatic Autoimmune Diseases, Is It a Realistic Goal?

Kristina Schreiber, Gaetane Nocturne, Divi Cornec, Claire I Daïen

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical reviews in allergy & immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Lymphopenia, Lymphopenia-Induced Proliferation, and Autoimmunity.International journal of molecular sciences · 2021
    Review
  6. New biomarkers in SLE: from bench to bedside.Rheumatology (Oxford, England) · 2020
    Review
  7. Article
  8. Cutaneous and Mucosal Manifestations of Sjögren's Syndrome.Clinical reviews in allergy & immunology · 2017
    Review
  9. Review
  10. Article
  11. Article
  12. Memory B Cells and Response to Abatacept in Rheumatoid Arthritis.Clinical reviews in allergy & immunology · 2017
    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

4 authors.

Kristina SchreiberRheumatology Department, Lapeyronie Hospital and Montpellier I University, Montpellier, France.
Gaetane NocturneRheumatology Department, Kremlin-Bicêtre, Paris, France.
Divi CornecRheumatology Department, Brest, France.
Claire I DaïenRheumatology Department, Lapeyronie Hospital and Montpellier I University, Montpellier, France. cidaien@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many therapies are available for patients with rheumatoid arthritis (RA) while biological therapies have limited effects in patients with systemic lupus erythematosus (SLE) and primary Sjögren's syndrome (pSS). In both cases, biomarkers predicting drug response would be very useful to guide clinicians in their choice. We performed a systematic review to evaluate the value of lymphocyte phenotyping as a marker of therapeutic response. Of the 1063 articles retrieved, 39 fulfilled inclusion criteria and were included in the present review (25 for RA, 10 for SLE, and 4 for pSS). Lymphocyte phenotyping was described as a biomarker of therapeutic response in many studies, but most results could not be confirmed by independent teams using multivariate analysis. The most consistent result might be the association between rituximab response and the levels of memory B cells before therapy, although some studies were controversial. Thus, lymphocyte phenotyping cannot yet be proposed as a biomarker of response in rheumatic autoimmune diseases. The lack of reproducibility between studies may be explained by technical issues influencing lymphocyte phenotyping so standardization procedures should be developed for future studies. The patients' characteristics vary between studies, and large population studies, including a wide range of patients' characteristics and biomarkers, are required to provide predictive models for clinical outcomes. The use of new flow cytometry techniques such as single-cell mass cytometry technology might also help finder reliable biomarkers in the future.

Indexed as

AnimalsAutoimmune DiseasesBiomarkers, PharmacologicalCell SeparationFlow CytometryHumansImmunophenotypingLymphocyte CountLymphocytesPrognosisReproducibility of ResultsRheumatic DiseasesBiomarkers, PharmacologicalAutoimmune diseasesBiomarkersLymphocyte subsetsPersonalized medicinePredictive markersRheumatoid arthritisSjögren’s syndromeSystemic lupus erythematosusTherapeutic response

Identifiers

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.