Evidence map›Paper›PMID 29065909›Full record

ReviewArthritis research & therapy2017

Right drug, right patient, right time: aspiration or future promise for biologics in rheumatoid arthritis?

Vasco C Romão, Edward M Vital, João Eurico Fonseca, Maya H Buch

Abstract readReview
In one paragraph

Review in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Programmable chronogenetic gene circuits for self-regulated circadian delivery of biologic drugs.Journal of controlled release : official journal of the Controlled Release Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Clinical Applications of Synovial Biopsy.Frontiers in medicine · 2019
    Review
  20. 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

4 authors.

Vasco C RomãoRheumatology Research Unit, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Av. Professor Egas Moniz, 1649-028, Lisboa, Portugal.
Edward M VitalLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
João Eurico FonsecaRheumatology Research Unit, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Av. Professor Egas Moniz, 1649-028, Lisboa, Portugal.
Maya H BuchLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK. M.Buch@leeds.ac.uk.

Funding

Department of Health CS-2013-13-032
6 · The paper itself

Abstract

Individualising biologic disease-modifying anti-rheumatic drugs (bDMARDs) to maximise outcomes and deliver safe and cost-effective care is a key goal in the management of rheumatoid arthritis (RA). Investigation to identify predictive tools of bDMARD response is a highly active and prolific area of research. In addition to clinical phenotyping, cellular and molecular characterisation of synovial tissue and blood in patients with RA, using different technologies, can facilitate predictive testing. This narrative review will summarise the literature for the available bDMARD classes and focus on where progress has been made. We will also look ahead and consider the increasing use of 'omics' technologies, the potential they hold as well as the challenges, and what is needed in the future to fully realise our ambition of personalised bDMARD treatment.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiomarkersHumansSynovial MembraneTranscriptomeTreatment OutcomeAntirheumatic AgentsBiomarkersBiological therapyBiomarkersPersonalised therapyResponse predictorsRheumatoid arthritis

Identifiers

PMID29065909
PMCPMC5655983

What OpenQuestion holds

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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.