Evidence map›Paper›PMID 23381561›Full record

ArticleNature reviews. Rheumatology2013

Creative trial design in RA: optimizing patient outcomes.

Maya H Buch, Sue Pavitt, Mahesh Parmar, Paul Emery

Abstract read
PubMed Publisher
In one paragraph

Article in Nature reviews. Rheumatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Assessing the uncertainty of treatment outcomes in a previous systematic review of venous leg ulcer randomized controlled trials: Additional secondary analysis.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society · 2021
    Pooled it
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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.

Maya H BuchNIHR Leeds Musculoskeletal Biomedical Research Unit, Division of Rheumatic & Musculoskeletal Disease, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK. m.buch@leeds.ac.uk
Sue Pavitt
Mahesh Parmar
Paul Emery

Funding

Arthritis Research UK 18475
6 · The paper itself

Abstract

The rheumatology community has witnessed remarkable advances in the management of rheumatoid arthritis (RA) made possible by the development of highly effective biologic DMARDs. Robust randomized controlled trials of clinical efficacy, equipped with validated outcome measures, ensured these therapies could enter the clinical arena and thus substantially improve patient outcomes. Current management principles, which follow a 'treat-to-target' paradigm, advocate tight control of disease activity with the aim of achieving clinical remission. However, efficacy trials are not yet aligned with this approach, hampering patient recruitment. This impediment and the usual approach of inclusion of previously failed treatment arms (to protect methodological concerns) is prompting reappraisal of RA trial design and the consideration of more pragmatic studies that reflect real-life practice. In addition, the aspirations of the rheumatology community to strive for personalized medicine means innovative approaches to trial design are needed to complement the efficacy trial. This Review appraises the current trial landscape and provides insights and key concepts from other fields such as oncology as to the potential utility (as well as the limitations) of pragmatic trial designs such as adaptive trials and biomarker-driven trials.

Indexed as

Clinical Trials as TopicOutcome Assessment, Health CareResearch DesignAntirheumatic AgentsArthritis, RheumatoidHumansMethotrexateRandomized Controlled Trials as TopicAntirheumatic AgentsMethotrexate

Identifiers

PMID23381561

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.