Evidence map›Paper›PMID 27518855›Full record

ArticleZeitschrift fur Rheumatologie2017

[The first biologic for rheumatoid arthritis: factors influencing the therapeutic decision].

D Pattloch, A Richter, B Manger, R Dockhorn, L Meier, H-P Tony, A Zink, A Strangfeld

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Article in Zeitschrift fur Rheumatologie, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. An Update on Statistical Boosting in Biomedicine.Computational and mathematical methods in medicine · 2017
    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

8 authors.

D PattlochDeutsches Rheumaforschungszentrum, Programmbereich Epidemiologie, Charitéplatz 1, 10117, Berlin, Deutschland.
A RichterDeutsches Rheumaforschungszentrum, Programmbereich Epidemiologie, Charitéplatz 1, 10117, Berlin, Deutschland.
B MangerUniversität Erlangen, Erlangen, Deutschland.
R DockhornRheumatologe, Weener, Deutschland.
L MeierRheumatologe, Hofheim, Deutschland.
H-P TonyUniversität Würzburg, Würzburg, Deutschland.
A ZinkCharité-Universitätsmedizin, Berlin, Deutschland.
A StrangfeldDeutsches Rheumaforschungszentrum, Programmbereich Epidemiologie, Charitéplatz 1, 10117, Berlin, Deutschland. strangfeld@drfz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsBiologics (disease modifying antirheumatic drugs, bDMARD) have been in use in Germany for the treatment of rheumatoid arthritis (RA) since 2001, usually after failure of at least one conventional synthetic (cs)DMARD. We analyzed temporal changes in factors that influence the decision for either a first bDMARD or a further csDMARD. MATERIAL AND

methodsWe analyzed data from 9513 bDMARD-naive RA patients in the German biologics register RABBIT who switched to a new therapy. For three recruitment periods (2001-2003, 2004-2006 and 2009-2015) factors influencing the therapeutic decision were analyzed by means of machine learning methods and logistic regression analysis.

resultsIn all recruitment periods the number of previous csDMARDs, high dosages of glucocorticoids (>7.5 mg/day) and a higher DAS28 (>5.1) were significantly associated with the decision for a first bDMARD. Over time, the chance of receiving a bDMARD increased in patients with moderate disease activity, moderate glucocorticoid dosages (5-7.5 mg/day) and those with comorbidities, such as congestive heart failure or prior malignancy. Men had a higher chance of receiving a bDMARD than women only in the first recruitment period. Private health insurance, high education and gainful employment were significantly associated with more frequent prescription of bDMARDs in all recruitment periods. DISCUSSION: The time-dependent changes in the impact of disease activity, concomitant drugs, gender and comorbidity on the prescription of bDMARDs mirror the increasing therapeutic options and the growing experience in the application of the new substances in patients at higher risk. The influence of demographic and social factors may reflect safety concerns in patients at increased risk of adverse events but also the need to economize drug costs..

Indexed as

AdultAgedAged, 80 and overAntirheumatic AgentsBiological ProductsClinical Decision-MakingDrug PrescriptionsEducational StatusEmploymentFemaleGermanyHumansInsurance CoverageMaleMiddle AgedPractice Patterns, Physicians'Antirheumatic AgentsBiological ProductsCohort StudiesGermanyModel-based boostingPrescriptionsRABBIT

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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.