Literature DB >> 1358078

Use of short-term efficacy/toxicity tradeoffs to select second-line drugs in rheumatoid arthritis. A metaanalysis of published clinical trials.

D T Felson1, J J Anderson, R F Meenan.   

Abstract

OBJECTIVE: Preferred drugs for rheumatoid arthritis (RA) should be those that have maximal efficacy with the least toxicity. We evaluated the efficacy and toxicity tradeoffs for drugs frequently used in the treatment of RA.
METHODS: We updated 2 metaanalyses of published clinical trials, by adding trials published through 1990 and trials of azathioprine (AZA). We tested 3 different definitions of efficacy, each plotted against 3 different toxicity measures, for antimalarial drugs, methotrexate (MTX), auranofin, injectable gold, D-penicillamine, sulfasalazine (SSZ), AZA, and placebo. Efficacy measures included composite efficacy (a combination of joint count, grip strength, and erythrocyte sedimentation rate), tender joint count alone, and a measure based on how many patients dropped out due to inefficacy. Toxicity measures were the proportion dropping out due to toxicity, the same dropouts with side effects weighted for severity using a modification of a published toxicity index, and the proportion with severe toxicities (defined as a score of at least 7 of 10 on the toxicity index). The latter were usually organ toxicities (e.g., cytopenias and renal involvement).
RESULTS: All 9 efficacy/toxicity tradeoff plots suggested that MTX and antimalarial drugs had the highest efficacy relative to toxicity. MTX scored among the most efficacious of the drugs and, of these, had the least toxicity. Antimalarial drugs, though showing only moderate efficacy, had the lowest toxicity rate of all the drugs. SSZ scored close to MTX but was, in general, slightly more toxic.
CONCLUSION: In the short-term context of clinical trials, antimalarial drugs and MTX have the best efficacy/toxicity tradeoffs and may, therefore, be the preferred drugs.

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Year:  1992        PMID: 1358078     DOI: 10.1002/art.1780351003

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  48 in total

Review 1.  The treatment of rheumatoid arthritis: a review of recent clinical trials.

Authors:  T Mikuls; L Moreland
Journal:  Curr Rheumatol Rep       Date:  1999-12       Impact factor: 4.592

Review 2.  Efficacy and toxicity of old and new disease modifying antirheumatic drugs.

Authors:  P Tugwell; V Welch; M Suarez-Almazor; B Shea; G Wells
Journal:  Ann Rheum Dis       Date:  2000-11       Impact factor: 19.103

Review 3.  Consensus statement on the initiation and continuation of tumour necrosis factor blocking therapies in rheumatoid arthritis.

Authors:  J S Smolen; F C Breedveld; G R Burmester; B Combe; P Emery; J R Kalden; L Klareskog; R N Maini; R Numo; L B van De Putte; P L van Riel; V Rodriguez-Valverde
Journal:  Ann Rheum Dis       Date:  2000-07       Impact factor: 19.103

Review 4.  Benefits and risks of minocycline in rheumatoid arthritis.

Authors:  P Langevitz; A Livneh; I Bank; M Pras
Journal:  Drug Saf       Date:  2000-05       Impact factor: 5.606

Review 5.  Three decades of low-dose methotrexate in rheumatoid arthritis: can we predict toxicity?

Authors:  Vasco C Romão; Aurea Lima; Miguel Bernardes; Helena Canhão; João Eurico Fonseca
Journal:  Immunol Res       Date:  2014-12       Impact factor: 2.829

Review 6.  Leflunomide: a review of its use in active rheumatoid arthritis.

Authors:  A Prakash; B Jarvis
Journal:  Drugs       Date:  1999-12       Impact factor: 9.546

Review 7.  Sulfasalazine: a review of its use in the management of rheumatoid arthritis.

Authors:  Greg L Plosker; Katherine F Croom
Journal:  Drugs       Date:  2005       Impact factor: 9.546

8.  Toxicity of antirheumatic and anti-inflammatory drugs in children.

Authors:  B Flatø; O Vinje; O Førre
Journal:  Clin Rheumatol       Date:  1998       Impact factor: 2.980

9.  A limited sampling method to estimate methotrexate pharmacokinetics in patients with rheumatoid arthritis using a Bayesian approach and the population data modeling program P-PHARM.

Authors:  F Bressolle; C Bologna; L Edno; J C Bernard; R Gomeni; J Sany; B Combe
Journal:  Eur J Clin Pharmacol       Date:  1996       Impact factor: 2.953

10.  HLA-DRB1 typing in rheumatoid arthritis: predicting response to specific treatments.

Authors:  J R O'Dell; B S Nepom; C Haire; V H Gersuk; L Gaur; G F Moore; W Drymalski; W Palmer; P J Eckhoff; L W Klassen; S Wees; G Thiele; G T Nepom
Journal:  Ann Rheum Dis       Date:  1998-04       Impact factor: 19.103

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