Evidence map›Paper›PMID 30789850›Full record

ReviewCurrent opinion in rheumatology2019

Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification?

Meghna Jani, Anne Barton, Kimme Hyrich

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. The Impact of the COVID-19 Pandemic on Inflammatory Rheumatic Diseases.Journal of clinical practice and research · 2023
    Article
  11. Review
  12. Evaluation of Depression and Anxiety in Rheumatoid Arthritis Patients During COVID-19 Pandemic.Clinical medicine insights. Arthritis and musculoskeletal disorders · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Observational
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

3 authors at 3 institutions in 1 country.

Meghna JaniArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, The University of Manchester.
Anne BartonArthritis Research UK Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester.
Kimme HyrichArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, The University of Manchester.
NIHR Manchester Biomedical Research Centre · GBUniversity of Manchester · GBVersus Arthritis · GB

Funding

Arthritis Research UK 21754Arthritis Research UK 21755Department of HealthMedical Research Council MR/K015346/1Medical Research Council MR/N00583X/1
6 · The paper itself

Abstract

purpose of reviewThere are currently several available biologics for rheumatoid arthritis (RA) with similar efficacy in most trials. A major consideration therefore in choosing a biologic, continues to be safety concerns such as infection. Considerable advances have been made in the understanding of biologic safety on a population level; however, how close are we to stratifying risk for individual patients? This review discusses evidence published in the last year, with reference to key previous literature. RECENT

findingsComparative safety of biologics has been studied in observational cohorts, with a possible increased risk of serious infection in tocilizumab-treated patients compared with etanercept. Rheumatoid arthritis patients on biologics are often on concomitant medications such as steroids and opioids, and the advances in relation to infection are summarized. Pharmacological biomarkers and optimizing existing risk prediction scores may allow better future risk stratification. SUMMARY: Improved quantification of personalized benefit:harms would allow better-informed decisions, reduction of infection-associated morbidity as well as direct/indirect costs associated with biologics. Although advances have been made to better understand and predict risk, future studies are likely to require a range of novel data sources and methodologies for the goal of precision medicine to be truly realized.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiological ProductsEtanerceptHumansInfectionsRisk AssessmentAntirheumatic AgentsBiological ProductsEtanercept

Identifiers

PMID30789850
PMCPMC6443047
OpenAlexW2916114240

What OpenQuestion 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 OpenQuestion graph.