Evidence map›Paper›PMID 23247868›Full record

ArticleZeitschrift fur Rheumatologie2013

[Personalized medicine in the choice of conventional immunosuppressants and disease modifying antirheumatic drugs].

C Fiehn, G Keyßer, H-M Lorenz

Abstract readEnglish Abstract
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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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

C FiehnACURA-Rheumazentrum Baden-Baden, Baden-Baden.
G Keyßer
H-M Lorenz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The decision for a certain therapy for autoimmune diseases is influenced by various factors. These include well-defined arguments, such as approval of the drug for a certain disease, data from studies or registries, age and gender, family planning, risk for infections of the specific patient, side effects, price, data on the importance of genetic polymorphisms for tolerance and effectiveness of the drug or preferences in the way the drug is administered. On the other hand there are less definable factors which influence the choice of a certain drug, such as the mode of action and possibility to combine it with other drugs as well as individual preferences and experiences of patients and rheumatologists. As in the diagnostic procedure of complex rheumatologic diseases the discussion of the differential indications of a drug in the specific situation requires a mosaic-like assembly of many factors and aspects which argue for or against a certain drug in the individual patient, disease and situation. It would be desirable if definable factors were already available which could be recruited as substantial arguments pro or contra a drug in the sense of personalized medicine. This could improve the tolerance and effectiveness of therapeutic strategies. However, as this is not yet the case the authors have tried to assemble ideas which might argue pro or contra conventional disease modifying antirheumatic drugs (DMARD) and immunosuppressive drugs.

Indexed as

Antirheumatic AgentsDecision MakingHumansImmunosuppressive AgentsPrecision MedicineRheumatic DiseasesRheumatologyAntirheumatic AgentsImmunosuppressive Agents

Identifiers

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.