Evidence map›Paper›PMID 28243133›Full record

ArticleClinicoEconomics and outcomes research : CEOR2017

Determinants of biological drug survival in rheumatoid arthritis: evidence from a Hungarian rheumatology center over 8 years of retrospective data.

Valentin Brodszky, Anikó Bíró, Zoltán Szekanecz, Boglárka Soós, Petra Baji, Fanni Rencz, László Tóthfalusi, László Gulácsi, Márta Péntek

Open access · goldAbstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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

9 authors at 4 institutions in 1 country.

Valentin BrodszkyDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Anikó BíróDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary; School of Economics, The University of Edinburgh, Edinburgh, UK.
Zoltán SzekaneczDepartment of Rheumatology, Institute of Medicine, University of Debrecen Faculty of Medicine, Debrecen, Hungary.
Boglárka SoósDepartment of Rheumatology, Institute of Medicine, University of Debrecen Faculty of Medicine, Debrecen, Hungary.
Petra BajiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Fanni RenczDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary; Semmelweis University Doctoral School of Clinical Medicine, Budapest, Hungary.
László TóthfalusiDepartment of Pharmacodynamics, Semmelweis University, Budapest, Hungary.
László GulácsiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Márta PéntekDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary; Department of Rheumatology, Flór Ferenc County Hospital, Kistarcsa, Hungary.
Corvinus University of Budapest · HUUniversity of Debrecen · HUJahn Ferenc Dél-Pesti Kórház és Rendelőintézet · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare drug survival of biological therapies in patients with rheumatoid arthritis (RA), and analyze the determinants of discontinuation probabilities and switches to other biological therapies. MATERIALS AND

methodsConsecutive RA patients initiating first biological treatment in one rheumatology center between 2006 and 2013 were included. Log-rank test was used to analyze the differences between the survival curves of different biological drugs. Cox regression was applied to analyze the discontinuation due to inefficacy, the occurrence of adverse events, or to any reasons.

resultsA total of 540 patients were included in the analysis. The most frequently used first-line biological treatments were infliximab (N=176, 33%), adalimumab (N=150, 28%), and etanercept (N=132, 24%). Discontinuation of first tumor necrosis factor-alpha (TNF-α) treatment was observed for 347 (64%) patients, due to inefficacy (n=209, 60%), adverse events (n=103, 30%), and other reasons (n=35, 10%). Drug survival rates for TNF-α and non-TNF-α therapies were significantly different, and were in favor of non-TNF-α therapies. Every additional number of treatment significantly increased the risk of inefficacy by 27% (

conclusionNon-TNF-α therapies resulted in significantly longer treatment duration, and lost their effectiveness later. Increase in the number of switches significantly increased the risk of discontinuation of any biological therapy.

Indexed as

biologicalsdrug survivalregistryrheumatoid arthritisswitch

Identifiers

PMID28243133
PMCPMC5317255
OpenAlexW2588177667

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.