Evidence map›Paper›PMID 23392600›Full record

ArticleZeitschrift fur Rheumatologie2013

[Personalized medicine in cytokine-targeted therapy].

F Behrens, M Köhm

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Zeitschrift fur Rheumatologie, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

F BehrensCIRI/Rheumatologie, Klinikum Johann Wolfgang Goethe - Universität, 60590, Frankfurt am Main. Frank.Behrens@kgu.de
M Köhm
Goethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized healthcare tries to predict the effectiveness and safety in individual therapeutic approaches by defining individual patient characteristics (biomarkers), while stratification uses diagnostic patterns for groups of patients for prediction of therapeutic response with less adverse reactions caused by the drugs applied. Both methods are implemented in oncology and infectiology and in the therapy of rheumatological diseases there is a need for both. Cytokine-directed therapies are important for the treatment of rheumatological diseases, especially when therapy with conventional disease-modifying antirheumatic drugs (DMARD) has failed. Despite the high potency of these drugs for inhibiting pro-inflammatory cytokines, such as tumor necrosis factor-alpha (TNF-α), interleukin 1 (IL-1) and IL-6, sufficient responses are only seen in some of the patients. Therefore, stratification and personalized medicine are ways to optimize efficacy and tolerability of biologic therapies. Some initial evidence is available for potential future strategies using molecular and genetic markers for stratified cytokine inhibition.

Indexed as

Antirheumatic AgentsCytokinesHumansPrecision MedicineRheumatic DiseasesRheumatologyAntirheumatic AgentsCytokines

Identifiers

PMID23392600
OpenAlexW2180339321

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.