Evidence map›Paper›PMID 35886067›Full record

SynthesisGenes2022

Genetic Biomarkers as Predictors of Response to Tocilizumab in Rheumatoid Arthritis: A Systematic Review and Meta-Analysis.

Sivakami Janahiraman, Chun Lai Too, Kai Wei Lee, Nor Shuhaila Shahril, Chee Onn Leong

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Genes, 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
1.7field-weighted citation impact, top 16% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
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.

Sivakami JanahiramanSchool of Postgraduate Studies, International Medical University, Bukit Jalil, Kuala Lumpur 57000, Malaysia.ORCID 0000-0001-5544-3237
Chun Lai TooImmunogenetic Unit, Institute for Medical Research, National Institutes of Health Complex, Ministry of Health Malaysia, Shah Alam 40170, Malaysia.ORCID 0000-0002-4079-8454
Kai Wei LeeDepartment of Pre-Clinical Sciences, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 31900, Malaysia.ORCID 0000-0001-9737-8066
Nor Shuhaila ShahrilMedical Department, Hospital Putrajaya, Ministry of Health Malaysia, Putrajaya 62250, Malaysia.ORCID 0000-0003-4260-8498
Chee Onn LeongCentre for Cancer and Stem Cell Research Development and Innovation (IRDI), Institute for Research, International Medical University, Bukit Jalil, Kuala Lumpur 57000, Malaysia.
Ministry of Health · MYIMU University · MYUniversiti Tunku Abdul Rahman · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a lifelong, debilitating disease which incredibly impacts a patient's quality of life if not treated to the optimal target. The clinical response of tocilizumab, an interleukin-6 (IL-6) inhibitor, is associated with several gene polymorphisms, particularly targeting the IL-6 pathway. This systematic review and meta-analysis seeks to investigate genetic biomarkers that predict the treatment outcome of tocilizumab therapy in RA patients. After evaluating the quality of retrieved records, five studies were chosen to carry out a quantitative synthesis involving 591 participants. We analysed genetic markers of IL-6R single nucleotide polymorphism (SNP)s rs12083537, rs2228145 and rs4329505, FCGR3A, CD69, GALNT18 and FCGR2A. A plausible finding based on meta-analysis revealed that RA patients with homozygous AA genotype for rs12083537 polymorphism of the IL-6R gene demonstrate a better response to TCZ treatment as opposed to homozygous and heterozygous patients with the G allele. Nonetheless, limitations in evaluating the available studies by meta-analysis include a lack of studies with dissimilarities in study design and outcome definitions, small sample sizes with low statistical power and heterogeneity of cohorts, a restricted the number of tested SNPs and small effects for the selected variants. Inconsistent finding remains as a great challenge to forge ahead towards personalised medicine for RA management.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidAntibodies, Monoclonal, HumanizedGenetic MarkersHumansInterleukin-6Polymorphism, Single NucleotideQuality of LifeAntibodies, Monoclonal, HumanizedAntirheumatic AgentsGenetic MarkersInterleukin-6tocilizumabgeneticpolymorphismspredictorrheumatoid arthritistocilizumabtreatment response

Identifiers

PMID35886067
PMCPMC9323282
OpenAlexW4286209853

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.