Evidence map›Paper›PMID 21890615›Full record

ArticleRheumatology (Oxford, England)2012

A personalized medicine approach to biologic treatment of rheumatoid arthritis: a preliminary treatment algorithm.

Paul P Tak

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2012. 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
–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

27 citing papers in PubMed, 1 synthesis or guideline 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

1 author.

Paul P TakDivision of Clinical Immunology and Rheumatology, Academic Medical Center/University of Amsterdam, F4-105 Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands. p.p.tak@amc.uva.nl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RA is a syndrome consisting of different pathogenetic subsets in which distinct molecular mechanisms may drive common final pathways. Recent work has provided proof of principle that biomarkers may be identified predictive of the response to targeted therapy. Based on new insights, an initial treatment algorithm is presented that may be used to guide treatment decisions in patients who have failed one TNF inhibitor. Key questions in this algorithm relate to the question whether the patient is a primary vs a secondary non-responder to TNF blockade and whether the patient is RF and/or anti-citrullinated peptide antibody positive. This preliminary algorithm may contribute to more cost-effective treatment of RA, and provides the basis for more extensive algorithms when additional data become available.

Indexed as

AlgorithmsAntirheumatic AgentsArthritis, RheumatoidBiological ProductsBiomarkersDrug ResistanceHumansPrecision MedicineTreatment FailureTreatment OutcomeTumor Necrosis Factor-alphaAntirheumatic AgentsBiological ProductsBiomarkersTumor Necrosis Factor-alpha

Identifiers

PMID21890615
PMCPMC3306168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.