Literature DB >> 24970596

Clinical efficacy of abatacept, tocilizumab, and etanercept in Japanese rheumatoid arthritis patients with inadequate response to anti-TNF monoclonal antibodies.

Shinya Hirabara1, Nobunori Takahashi, Naoki Fukaya, Hiroyuki Miyake, Yuichiro Yabe, Atsushi Kaneko, Takayasu Ito, Takeshi Oguchi, Daihei Kida, Yuji Hirano, Takayoshi Fujibayashi, Fumiaki Sugiura, Masatoshi Hayashi, Koji Funahashi, Masahiro Hanabayashi, Shuji Asai, Naoki Ishiguro, Toshihisa Kojima.   

Abstract

The aim of this study was to compare the efficacy and retention rates of three biologics (abatacept, tocilizumab, and etanercept) after switching from first-course anti-TNF monoclonal antibody therapy. We performed a retrospective multicenter study of 89 patients who underwent second-course biologic therapy for 52 weeks after switching from first-course anti-TNF monoclonal antibody therapy. Patients at baseline had a mean age of 58.7 years, mean disease duration of 9.8 years, and mean clinical disease activity index (CDAI) of 22.4. There was no significant difference between the three drugs, except in rheumatoid factor positivity. Retention rates for abatacept, tocilizumab, and etanercept treatment at 52 weeks were 72.0, 89.5 and 84.6 %, respectively. The evaluation of CDAI indicated no significant difference at 52 weeks among the three drugs. Discontinuation due to all unfavorable causes did not significantly differ among the three drugs in hazard ratio-based evaluations. Our results show that patients treated with abatacept, tocilizumab, and etanercept achieved a high response rate with no significant differences in drug retention rates and clinical efficacy. These drugs represent good therapeutic options for patients with RA who are refractory to anti-TNF monoclonal antibody therapy.

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Year:  2014        PMID: 24970596      PMCID: PMC4138439          DOI: 10.1007/s10067-014-2711-2

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


Introduction

Rheumatoid arthritis (RA) is a chronic and systemic autoimmune inflammatory disease that clinically manifests as joint pain and swelling [1]. In the past decade, treatment of RA has improved significantly with the introduction of tumor necrosis factor inhibitors (TNFi), which reportedly demonstrate high efficacy [2-4]. However, these drugs have little or no effect in about 30 % of treated patients, with two thirds demonstrating moderate to high disease activity at 1 year post-treatment [5]. In clinical practice, switching biologics remains a difficult issue. According to the European League Against Rheumatism recommendations, patients who do not respond to initial TNFi therapy should switch to a different TNFi or use a different class of biologics (abatacept, rituximab, or tocilizumab) [6]. While some studies reported on the outcomes of switching from TNFi to other biologics [7, 5, 8], no consensus has been reached on the strategy of switching. Loss of therapeutic efficacy is readily observed with anti-TNF monoclonal antibodies (adalimumab and infliximab) in patients receiving concomitant low-dose methotrexate (MTX) due to immunogenicity-related issues [9-11]. This is one factor leading to withdrawal from anti-TNF monoclonal antibody therapy. The dose of concomitant MTX in Japan is lower compared to other countries [12], and switching from anti-TNF monoclonal antibodies is often required. To this end, we compared three drugs (abatacept, tocilizumab, and etanercept) that are considered to exhibit low immunogenicity [13, 14, 2]. In this study, etanercept, a drug with proven efficacy, was compared with abatacept and tocilizumab. In view of the different characteristics of available TNFi, switching from an anti-TNF monoclonal antibody to a TNF receptor fusion protein (etanercept) may be helpful if initial treatment fails. On the other hand, several new biologics with different mechanisms of action are now available (e.g., abatacept, rituximab, and tocilizumab). Some reports have compared switching to tocilizumab and abatacept [15, 16, 7]. Hyrich et al. reported that when the first TNFi treatment fails, the best alternative is to start on a different class of biologics [16]. However, there are no reports to date comparing new biologics with etanercept. Accordingly, this study aimed to compare patients who switched to etanercept, abatacept, and tocilizumab from first-course anti-TNF monoclonal antibody therapy. Abatacept and tocilizumab are recently approved non-TNFi biologics that are marketed for the treatment of RA. Abatacept is the first member of a new class of biologics which inhibit T-cell activation by binding to CD80/86 and modulating its interaction with CD28. Based on this mechanism, abatacept is expected to achieve clinical efficacy in patients who respond inadequately or are naïve to other classes of biologics. Tocilizumab, a humanized monoclonal antibody against the IL-6 receptor, was approved in 2008 for use in clinical practice in Japan. The efficacy of tocilizumab for RA has been demonstrated in several clinical trials [14, 17] as well as in actual practice [18, 19]. Both drugs show low immunogenicity, with anti-drug antibody production rate of 2.3 % for abatacept and 2.5 % for tocilizumab [13, 14]. The efficacy and safety of these drugs in patients who are naïve or refractory to TNFi therapy have been demonstrated in several randomized controlled clinical trials (RCTs) [20-23]. However, controversy exists as to whether a different TNFi (e.g., etanercept) should be selected or other elements of the inflammatory process should be modified when switching from anti-TNF monoclonal antibodies. Patients may exhibit differential responses to the three agents (abatacept, tocilizumab, and etanercept) upon switching, although there is no direct evidence to support this. The present study compared retention rates and clinical efficacy of abatacept, tocilizumab, and etanercept switched from first-course anti-TNF monoclonal antibody therapy based on retrospectively registered observational data.

Materials and methods

Tsurumai Biologics Communication Registry

The Tsurumai Biologics Communication Registry (TBCR) was developed in 2008 to explore the long-term prognosis of biologics in clinical practice and consisted of patients who were starting biologic treatments. Data were collected prospectively from 2008 and retrospectively for patients treated up to 2008 [24]. The present study included all patients (n = 89) who switched to abatacept, tocilizumab, or etanercept as a second biologic agent from first-course anti-TNF monoclonal antibody due to inadequate efficacy from September 2010 to September 2011 at Nagoya University Hospital or one of 12 other institutions affiliated with the TBCR and were prospectively enrolled in the TBCR. During the study period, we were able to choose freely among the five biological DMARDs (infliximab, etanercept, adalimumab, tocilizumab, abatacept) at our discretion as a second-line as well as a first-line biologic. All patients met the 1987 American College of Rheumatology classification criteria for RA and received abatacept, tocilizumab, or etanercept infusions according to the drug label and Japan College of Rheumatology guidelines for treatment. Patient anonymity was maintained during data collection, and the security of personal information was strictly controlled. This study was approved by the Ethics Committee of the Nagoya University Graduate School of Medicine.

Data collection

Data were retrospectively collected from clinical records. The following demographic data were recorded at the initiation of treatment (baseline, week 0): disease duration, concomitant treatment (methotrexate [MTX] or prednisolone), joint damage (Steinbrocker stage), and daily dysfunction (Steinbrocker class). The following disease parameters were recorded at baseline and at 24 and 52 weeks of treatment: tender joint count (TJC) and swollen joint count (SJC) on 28 joints, general health on a visual analog scale (GH-VAS), and serum C-reactive protein (CRP) levels. Disease activity was evaluated at each time point using the 28-joint disease activity score with CRP (DAS28-CRP) and the clinical disease activity index (CDAI) which included data from the cited disease parameters.

Statistical analysis

Demographic and disease characteristics were reported using descriptive statistics. All results are expressed as mean ± SD or percentage. Student’s t-test was used for two-group comparisons and the chi-square test for categorical variables. The last observation carried forward (LOCF) method was used in each analysis. All statistical tests were two-sided, and significance was defined as p < 0.05. Drug continuation rates were estimated by plotting Kaplan–Meier curves and were compared using log-rank test. Hazard ratios (HRs) for cause-specific drug discontinuation were calculated using the Cox proportional hazards model, adjusted for variables such as disease duration, age, sex, and concomitant use of MTX and CDAI. All analyses were performed with SPSS version 20.0.0 software (IBM Corp., Armonk, NY, USA).

Results

Patients

We examined 89 patients who switched to abatacept, tocilizumab, and etanercept as a second biologic agent from first-course anti-TNF monoclonal antibody therapy due to inadequate efficacy. Of these, 25 (28.1 %) had switched to abatacept, 38 (42.7 %) had switched to tocilizumab, and 26 (29.2 %) had switched to etanercept. Baseline characteristics of all patients are shown in Table 1, categorized by the second biologic agent. Mean age was 58.7 ± 12.1 years, mean disease duration was 9.8 ± 8.3 years, and mean DAS28-CRP and CDAI were 4.6 ± 1.2 and 22.4 ± 11.0, respectively. A significant difference was found in rheumatoid factor positivity among the three drugs. No significant differences were found in factors reported to affect the effects of biologics, including MTX use, MTX dose, and disease duration. In the present study, the rate of concomitant MTX use was 78.7 %, with a mean dose of 7.4 mg/week.
Table 1

Baseline characteristics of patients with rheumatoid arthritis who switched from anti-TNF monoclonal antibodies

Overall (n = 89)Abatacept (n = 25)Tocilizumab (n = 38)Etanercept (n = 26) p value
Age (year)58.7 ± 12.162.8 ± 9.356.7 ± 12.457.5 ± 13.30.315
Sex (% female)828078.988.50.593
Disease duration (year)9.8 ± 8.311.4 ± 9.57.9 ± 6.111.0 ± 9.60.207
Stage (I/II/III/IV, %)19.1/21.3/24.7/32.620.0/20.0/24.0/36.019.4/22.2/33.3/25.019.2/23.1/15.4/42.30.627
Class (I/II/III/IV, %)13.5/50.6/29.2/4.512.0/52.0/36.0/016.8/52.8/27.8/2.811.5/50.0/26.9/11.50.453
RF positive (%)82.970.678.696 0.002
Previous biological DMARDs (%)
 Adalimumab37.16026.330.8
 Infliximab62.94073.769.2
 MTX use (%)78.78073.784.60.567
 MTX dose (mg/week)a 7.47.57.37.80.716
 Oral steroid use (%)58.46459.553.80.760
 Oral steroid dose (mg/day)a 4.23.844.80.433
 MMP-3 (ng/mL)257.0 ± 235.2217.1 ± 190.0317.4 ± 271.6183.9 ± 129.00.371
 SJC, 0–285.4 ± 4.85.9 ± 5.65.7 ± 4.94.7 ± 3.70.546
 TJC, 0–286.4 ± 5.65.3 ± 4.16.0 ± 5.77.9 ± 6.60.439
 ESR (mm/h)53.1 ± 27.157.4 ± 32.151.1 ± 24.953.0 ± 26.40.475
 CRP (mg/dL)2.6 ± 2.61.7 ± 1.92.9 ± 2.83.0 ± 2.90.374
 GH-VAS 0–100 mm54.1 ± 22.953.7 ± 25.253.9 ± 22.454.6 ± 22.30.514
 DAS28-ESR5.3 ± 1.25.2 ± 1.25.3 ± 1.25.4 ± 1.30.267
 DAS28-CRP4.6 ± 1.24.4 ± 1.14.7 ± 1.24.8 ± 1.10.266
 CDAI22.4 ± 11.021.2 ± 11.022.4 ± 11.123.5 ± 11.20.266
 SDAI24.8 ± 11.623.1 ± 11.324.7 ± 11.526.4 ± 12.30.335

Data are presented as mean ± SD, unless otherwise indicated

Stage Steinbrocker stage, Class Steinbrocker class, RF rheumatoid factor, MTX methotrexate, MMP-3 matrix metalloproteinase-3, SJC swollen joint count, TJC tender joint count, ESR erythrocyte sedimentation rate, CRP C-reactive protein, GH-VAS general health visual analog scale, DAS28 disease activity score in 28 joints, CDAI clinical disease activity index, SDAI simplified disease activity index

aMean among patients receiving the drug

Baseline characteristics of patients with rheumatoid arthritis who switched from anti-TNF monoclonal antibodies Data are presented as mean ± SD, unless otherwise indicated Stage Steinbrocker stage, Class Steinbrocker class, RF rheumatoid factor, MTX methotrexate, MMP-3 matrix metalloproteinase-3, SJC swollen joint count, TJC tender joint count, ESR erythrocyte sedimentation rate, CRP C-reactive protein, GH-VAS general health visual analog scale, DAS28 disease activity score in 28 joints, CDAI clinical disease activity index, SDAI simplified disease activity index aMean among patients receiving the drug

Drug continuation rates

Drug continuation rates were analyzed with Kaplan–Meier curves (Fig. 1). At 52 weeks, continuation rates for abatacept, tocilizumab, and etanercept were 72.0, 89.5, and 84.6 %, respectively (log-rank test, p = 0.121), for discontinuation due to all unfavorable causes (Fig. 1a). When classified according to reasons for discontinuation, continuation rates at 52 weeks for abatacept, tocilizumab, and etanercept were 88.0, 97.1, and 90.5 % (log-rank test, p = 0.374), respectively, for discontinuation due to adverse events (Fig. 1b), and 82.6, 91.9, and 95.7 % (log-rank test, p = 0.182), respectively, for discontinuation due to inadequate efficacy (Fig. 1c). It should be noted that discontinuation of tocilizumab due to adverse events and discontinuation of etanercept due to inadequate efficacy were low, although there was no significant difference. All drugs exhibited good retention rates.
Fig. 1

Patient retention in abatacept, tocilizumab, and etanercept treatment. Kaplan–Meier curves of treatment continuation rates among patients with rheumatoid arthritis over 52 weeks of treatment. a Discontinuation due to all unfavorable causes. b Discontinuation due to adverse events. c Discontinuation due to inadequate efficacy

Patient retention in abatacept, tocilizumab, and etanercept treatment. Kaplan–Meier curves of treatment continuation rates among patients with rheumatoid arthritis over 52 weeks of treatment. a Discontinuation due to all unfavorable causes. b Discontinuation due to adverse events. c Discontinuation due to inadequate efficacy

Clinical efficacy

Figure 2 shows changes in tender joint counts, swollen joint counts, GH-VAS, CRP, DAS28-CRP, and CDAI at 0, 24, and 52 weeks. The decline over time in TJC, SJC, GH-VAS, CRP, DAS28-CRP, and CDAI significantly improved at all time points. TJC and SJC showed similar improvements without significant differences among the three drugs. GH-VAS was clearly higher in abatacept-treated patients (44.2 ± 27.3) compared to others (tocilizumab, 23.9 ± 23.0, p = 0.004; etanercept, 24.8 ± 20.8, p = 0.007) at 24 weeks, but there was no significant difference at 52 weeks. GH-VAS decreased more gradually in abatacept-treated patients. CRP levels were clearly lower with tocilizumab compared to abatacept at 24 weeks (tocilizumab, 0.16 ± 0.85; abatacept, 0.87 ± 1.16; p = 0.002) and 52 weeks (tocilizumab, 0.21 ± 0.87; abatacept, 0.91 ± 0.98; p = 0.001). DAS28-CRP showed no difference among the three drugs at 24 weeks but was lower with tocilizumab compared to abatacept at 52 weeks (tocilizumab, 2.51 ± 1.12; abatacept, 3.22 ± 1.11; p = 0.016). As shown in Fig. 3, all three drugs demonstrated good efficacy at 52 weeks in the evaluation based on CDAI. Remission rates and percentages of subsequent low disease activity for abatacept, tocilizumab, and etanercept were 20.7, 28.6, and 20.6 %, respectively, and 49.8, 68.2, and 70.6 %, respectively.
Fig. 2

Overall clinical efficacy of switching biologics in patients with rheumatoid arthritis. Mean values for a swollen joint count (SJC), b tender joint count (TJC), c general health on a visual analog scale (GH-VAS), d C-reactive protein (CRP), e 28-joint disease activity score with CRP (DAS28-CRP), and f clinical disease activity index (CDAI). ABT abatacept, TCZ tocilizumab, ETN etanercept. *P < 0.05 tocilizumab vs. abatacept. **P < 0.01 tocilizumab vs. abatacept. †P < 0.05 etanercept vs. abatacept. ††P < 0.01 etanercept vs. abatacept

Fig. 3

Clinical disease activity index (CDAI) with second-course biologics (0, 24, and 52 weeks). ABT abatacept, TCZ tocilizumab, ETN etanercept, HDA high disease activity (CDAI>22), MDA moderate disease activity (10

Overall clinical efficacy of switching biologics in patients with rheumatoid arthritis. Mean values for a swollen joint count (SJC), b tender joint count (TJC), c general health on a visual analog scale (GH-VAS), d C-reactive protein (CRP), e 28-joint disease activity score with CRP (DAS28-CRP), and f clinical disease activity index (CDAI). ABT abatacept, TCZ tocilizumab, ETN etanercept. *P < 0.05 tocilizumab vs. abatacept. **P < 0.01 tocilizumab vs. abatacept. †P < 0.05 etanercept vs. abatacept. ††P < 0.01 etanercept vs. abatacept Clinical disease activity index (CDAI) with second-course biologics (0, 24, and 52 weeks). ABT abatacept, TCZ tocilizumab, ETN etanercept, HDA high disease activity (CDAI>22), MDA moderate disease activity (10<CDAI≤22), LDA low disease activity (CDAI≤10). Remission (CDAI≤2.8)

Multivariate analysis

We calculated HRs for cause-specific drug discontinuation using multivariate Cox proportional HR analysis (Table 2) adjusted by disease duration, age, sex, concomitant MTX use, and CDAI. Discontinuation due to all unfavorable causes did not significantly differ among abatacept, tocilizumab, and etanercept, although discontinuation of tocilizumab due to adverse events and discontinuation of etanercept due to inadequate efficacy tended to be less common. There was no significant difference in inadequate efficacy and adverse events across the three drugs.
Table 2

Hazard ratios for discontinuation of the three drugs due to specific causes

EtanerceptTocilizumabAbatacept
(reference)HR (95 % CI)HR (95 % CI)
All unfavorable causes10.58 (0.13–2.66)1.21 (0.33–4.51)
Inadequate efficacy11.37 (0.12–15.29)2.14 (0.21–21.57)
Adverse events10.28 (0.27–2.82)0.77 (0.13–4.42)

Adjusted by sex, age, concomitant use of methotrexate, disease duration, and clinical disease activity index

HR hazard ratio, CI confidence interval

Hazard ratios for discontinuation of the three drugs due to specific causes Adjusted by sex, age, concomitant use of methotrexate, disease duration, and clinical disease activity index HR hazard ratio, CI confidence interval

Discussion

The recent introduction of two new biologics, abatacept and tocilizumab, into the market represents interesting new therapeutic opportunities for patients with RA who are resistant to TNFi. In the present study, no apparent difference in terms of efficacy was observed among abatacept, tocilizumab, and etanercept after switching from anti-TNF monoclonal antibodies. In general, when patients respond poorly to the first TNFi after 3 to 4 months, switching to a different biologic agent is considered [6]. If the secondary loss of efficacy is due to anti-drug antibodies, switching to a second TNFi might prove effective [16]. In many cases, the first treatment is discontinued due to immunogenicity-related problems associated with the concomitant use of low-dose MTX. In such cases, the biologics with low immunogenicity are useful. Etanercept does not require concomitant MTX necessarily and could thus demonstrate the expected efficacy [2]. In contrast, if the secondary loss of efficacy is due to TNF no longer being the primary cytokine, switching to other classes of biologics will be required. Whenever possible, the switching of biologics should be decided based on the cause of secondary loss of efficacy; however, there is currently no method to determine this. Moreover, there is no consensus regarding the strategy of switching biologics. The present observational study was based on data from a multicenter registry regarding the clinical efficacy of abatacept, tocilizumab, and etanercept in patients with RA in whom anti-TNF monoclonal antibody therapy previously failed. Therefore, the present results reflect treatment outcomes of the “real world.” Several studies have reported on switching from TNFi to other biologics. One meta-analysis revealed no difference in ACR50 response to rituximab, tocilizumab, abatacept, and golimumab when switched from TNFi [15]. According to the Danish DANBIO study, 48-week retention rates of abatacept and tocilizumab after switching from TNFi were 54 and 64 %, respectively [7]. The retention rates in our study were better (68.0 % for abatacept and 89.5 % for tocilizumab). In the DANBIO study, the mean DAS28-CRP at 48 weeks was 3.3 for abatacept and 2.5 for tocilizumab, which were comparable to our results at 52 weeks (abatacept, 3.22 ± 1.11; tocilizumab, 2.51 ± 1.12). In addition, 48-week remission rate in the DANBIO study was 26 % for abatacept and 58 % for tocilizumab, which are better or almost the same as our results (17.4 and 55.6 %, respectively). The ATTAIN study, which examined patients who switched from TNFi to abatacept, reported the percentages of low disease activity and remission to be 24.2 and 13.9 %, respectively [25]. Compared to these, the percentages of low disease activity and remission in the present study were better (34.8 and 17.4 %, respectively). In the RADIATE study, DAS28 remission rate at 24 weeks (DAS28-CRP˂2.6) was 30.1 % in patients who switched from TNFi to tocilizumab [20], compared to 50.0 % in the present study. This difference might be attributed to low DAS28CRP values at baseline and the short disease duration of 7.9 ± 6.1 years in our study. As for patients who switched to etanercept from TNFi, the RADIUS study [26] reported a 52-week retention rate of 74 % in comparison to 84.6 % in our study. Taken together, our results are in good agreement with previous reports. It should be emphasized that, in the present study, response rates and survival could not be compared among abatacept, tocilizumab, and etanercept due to the non-randomized, retrospective design. However, slight differences in clinical responses and disease activity (as judged by DAS28 CRP) among the three drugs appeared to be primarily due to the large decrease of CRP and ESR in tocilizumab-treated patients. Given that tocilizumab is an IL-6 antagonist and since IL-6 enhances the formation of CRP and ESR, our findings raise the question as to whether DAS28 is a valid tool for assessing disease activity for drugs that affect CRP and ESR. When evaluating tocilizumab, we believe that CDAI would serve as a useful tool since it does not involve CRP and ESR. In the present study, significant differences were found in CRP and DAS28-CRP when abatacept and tocilizumab were compared; however, as shown in Fig. 2f, there was no significant difference among the three drugs in terms of CDAI. The efficacy of the three drugs was found to be similar in the evaluation without CRP. In addition, the efficacy of tocilizumab was unchanged when the effects of CRP negativity was excluded. In the present study, the three drugs showed no difference in therapeutic effects in patients with inadequate responses to anti-TNF monoclonal antibodies. In other words, abatacept and tocilizumab, which were found to be effective when switched from an anti-TNF monoclonal antibody, would offer good therapeutic options, as would etanercept in these patients. These biologics should be selected based on consultation with the patient regarding the method of administration (intravenous/subcutaneous injection) and dosing interval. Limitations of this study include the small number of patients treated with each biologic agent. In the present study, it was necessary to set the study period after September 2010 as this was the year when abatacept was released in Japan. In addition, the number of patients requiring switching of medications was low since the long-term efficacy and safety of anti-TNF agents had been established. Nonetheless, use of the TBCR with over 2,000 cases enabled us to collect data for the present study. Given that the sample size might be insufficient to obtain strong statistical power, further studies will be necessary to reach the definite conclusion, yet our findings suggest no major differences among the three classes of biological DMARDs in terms of clinical efficacy after failure of first-course anti-TNF monoclonal antibody treatment. Additionally, given the retrospective design of the present study, drug selection was not randomized. Because of the bias of attending physicians, the number of cases that switched between anti-TNF monoclonal antibodies was quite low. As such, we were unable to evaluate in detail the switching between TNFi. Further evaluation is required for those who switch from anti-TNF monoclonal antibodies to another anti-TNF monoclonal antibody. Another limitation was the lack of data regarding the impact on structural damage (i.e., radiographic progression). These points should be addressed in the future. In summary, we conclude that patients treated with either abatacept, tocilizumab, or etanercept can achieve a high response rate and that these biologics represent good therapeutic options in patients with RA who are refractory to first-course anti-TNF monoclonal antibody therapy. Moreover, the three biologics showed no significant difference in retention rate and efficacy. Further investigation to compare second-course anti-TNF monoclonal antibodies with the three drugs is needed to promote efficient drug selection when patients are switched from anti-TNF monoclonal antibodies.
  26 in total

Review 1.  Indirect comparisons of the efficacy of biological antirheumatic agents in rheumatoid arthritis in patients with an inadequate response to conventional disease-modifying antirheumatic drugs or to an anti-tumour necrosis factor agent: a meta-analysis.

Authors:  Carine Salliot; Axel Finckh; Wanruchada Katchamart; Yan Lu; Ye Sun; Claire Bombardier; Edward Keystone
Journal:  Ann Rheum Dis       Date:  2010-11-19       Impact factor: 19.103

2.  Persistence with anti-tumor necrosis factor therapies in patients with rheumatoid arthritis: observations from the RADIUS registry.

Authors:  Joseph A Markenson; Allan Gibofsky; William R Palmer; Edward C Keystone; Michael H Schiff; Jingyuan Feng; Scott W Baumgartner
Journal:  J Rheumatol       Date:  2011-05-15       Impact factor: 4.666

3.  Efficacy of abatacept and tocilizumab in patients with rheumatoid arthritis treated in clinical practice: results from the nationwide Danish DANBIO registry.

Authors:  Henrik Christian Leffers; Mikkel Ostergaard; Bente Glintborg; Niels Steen Krogh; Heidi Foged; Ulrik Tarp; Tove Lorenzen; Annette Hansen; Michael Sejer Hansen; Martin Skov Jacobsen; Lene Dreyer; Merete Lund Hetland
Journal:  Ann Rheum Dis       Date:  2011-05-08       Impact factor: 19.103

4.  Study protocol of a multicenter registry of patients with rheumatoid arthritis starting biologic therapy in Japan: Tsurumai Biologics Communication Registry (TBCR) study.

Authors:  Toshihisa Kojima; Atsushi Kaneko; Yuji Hirano; Hisato Ishikawa; Hiroyuki Miyake; Takeshi Oguchi; Hideki Takagi; Yuichiro Yabe; Takefumi Kato; Takayasu Ito; Kenya Terabe; Naoki Fukaya; Yasuhide Kanayama; Tomone Shioura; Koji Funahashi; Masatoshi Hayashi; Daizo Kato; Hiroyuki Matsubara; Takayoshi Fujibayashi; Masayo Kojima; Naoki Ishiguro
Journal:  Mod Rheumatol       Date:  2011-09-03       Impact factor: 3.023

Review 5.  EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs.

Authors:  Josef S Smolen; Robert Landewé; Ferdinand C Breedveld; Maxime Dougados; Paul Emery; Cecile Gaujoux-Viala; Simone Gorter; Rachel Knevel; Jackie Nam; Monika Schoels; Daniel Aletaha; Maya Buch; Laure Gossec; Tom Huizinga; Johannes W J W Bijlsma; Gerd Burmester; Bernard Combe; Maurizio Cutolo; Cem Gabay; Juan Gomez-Reino; Marios Kouloumas; Tore K Kvien; Emilio Martin-Mola; Iain McInnes; Karel Pavelka; Piet van Riel; Marieke Scholte; David L Scott; Tuulikki Sokka; Guido Valesini; Ronald van Vollenhoven; Kevin L Winthrop; John Wong; Angela Zink; Désirée van der Heijde
Journal:  Ann Rheum Dis       Date:  2010-05-05       Impact factor: 19.103

6.  Effect of interleukin-6 receptor inhibition with tocilizumab in patients with rheumatoid arthritis (OPTION study): a double-blind, placebo-controlled, randomised trial.

Authors:  Josef S Smolen; Andre Beaulieu; Andrea Rubbert-Roth; Cesar Ramos-Remus; Josef Rovensky; Emma Alecock; Thasia Woodworth; Rieke Alten
Journal:  Lancet       Date:  2008-03-22       Impact factor: 79.321

7.  Efficacy and safety of the selective co-stimulation modulator abatacept following 2 years of treatment in patients with rheumatoid arthritis and an inadequate response to anti-tumour necrosis factor therapy.

Authors:  M C Genovese; M Schiff; M Luggen; J-C Becker; R Aranda; J Teng; T Li; N Schmidely; M Le Bars; M Dougados
Journal:  Ann Rheum Dis       Date:  2007-10-05       Impact factor: 19.103

8.  Efficacy and tolerability of tocilizumab in rheumatoid arthritis patients seen in daily clinical practice in Japan: results from a retrospective study (REACTION study).

Authors:  Hisashi Yamanaka; Yoshiya Tanaka; Eisuke Inoue; Daisuke Hoshi; Shigeki Momohara; Kentaro Hanami; Naoki Yunoue; Kazuyoshi Saito; Kouichi Amano; Hideto Kameda; Tsutomu Takeuchi
Journal:  Mod Rheumatol       Date:  2010-10-16       Impact factor: 3.023

9.  Study of active controlled tocilizumab monotherapy for rheumatoid arthritis patients with an inadequate response to methotrexate (SATORI): significant reduction in disease activity and serum vascular endothelial growth factor by IL-6 receptor inhibition therapy.

Authors:  Norihiro Nishimoto; Nobuyuki Miyasaka; Kazuhiko Yamamoto; Shinichi Kawai; Tsutomu Takeuchi; Junichi Azuma; Tadamitsu Kishimoto
Journal:  Mod Rheumatol       Date:  2008-11-01       Impact factor: 3.023

10.  IL-6 receptor inhibition with tocilizumab improves treatment outcomes in patients with rheumatoid arthritis refractory to anti-tumour necrosis factor biologicals: results from a 24-week multicentre randomised placebo-controlled trial.

Authors:  P Emery; E Keystone; H P Tony; A Cantagrel; R van Vollenhoven; A Sanchez; E Alecock; J Lee; J Kremer
Journal:  Ann Rheum Dis       Date:  2008-07-14       Impact factor: 19.103

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  9 in total

1.  Concomitant methotrexate and tacrolimus augment the clinical response to abatacept in patients with rheumatoid arthritis with a prior history of biological DMARD use.

Authors:  Nobunori Takahashi; Takayoshi Fujibayashi; Daihei Kida; Yuji Hirano; Takefumi Kato; Daizo Kato; Kiwamu Saito; Atsushi Kaneko; Yuichiro Yabe; Hideki Takagi; Takeshi Oguchi; Hiroyuki Miyake; Tsuyoshi Watanabe; Masatoshi Hayashi; Yasuhide Kanayama; Koji Funahashi; Masahiro Hanabayashi; Shinya Hirabara; Shuji Asai; Toki Takemoto; Kenya Terabe; Nobuyuki Asai; Yutaka Yoshioka; Naoki Ishiguro; Toshihisa Kojima
Journal:  Rheumatol Int       Date:  2015-05-20       Impact factor: 2.631

2.  Predictive factors for achieving low disease activity at 52 weeks after switching from tumor necrosis factor inhibitors to abatacept: results from a multicenter observational cohort study of Japanese patients.

Authors:  Toshihisa Kojima; Nobunori Takahashi; Atsushi Kaneko; Daihei Kida; Yuji Hirano; Takayoshi Fujibayashi; Yuichiro Yabe; Hideki Takagi; Takeshi Oguchi; Hiroyuki Miyake; Takefumi Kato; Tsuyoshi Watanabe; Masatoshi Hayashi; Tomone Shioura; Yasuhide Kanayama; Koji Funahashi; Shuji Asai; Yutaka Yoshioka; Kenya Terabe; Toki Takemoto; Nobuyuki Asai; Naoki Ishiguro
Journal:  Clin Rheumatol       Date:  2015-12-03       Impact factor: 2.980

Review 3.  A Review of Switching Biologic Agents in the Treatment of Moderate-to-Severe Plaque Psoriasis.

Authors:  Yifan Hu; Zeyu Chen; Yu Gong; Yuling Shi
Journal:  Clin Drug Investig       Date:  2018-03       Impact factor: 2.859

4.  Comparative effectiveness of adalimumab and etanercept for rheumatoid arthritis in the Brazilian Public Health System.

Authors:  Jéssica Barreto Ribeiro Dos Santos; Alessandra Maciel Almeida; Francisco de Assis Acurcio; Haliton Alves de Oliveira Junior; Adriana Maria Kakehasi; Augusto Afonso Guerra Junior; Marion Bennie; Brian Godman; Juliana Alvares
Journal:  J Comp Eff Res       Date:  2016-09-19       Impact factor: 1.744

5.  Pharmacological and non-pharmacological therapeutic strategies in difficult-to-treat rheumatoid arthritis: a systematic literature review informing the EULAR recommendations for the management of difficult-to-treat rheumatoid arthritis.

Authors:  Nadia M T Roodenrijs; Attila Hamar; Melinda Kedves; György Nagy; Jacob M van Laar; Désirée van der Heijde; Paco M J Welsing
Journal:  RMD Open       Date:  2021-01

6.  EULAR points to consider for the management of difficult-to-treat rheumatoid arthritis.

Authors:  György Nagy; Nadia M T Roodenrijs; Désirée van der Heijde; Jacob M van Laar; Paco M J Welsing; Melinda Kedves; Attila Hamar; Marlies C van der Goes; Alison Kent; Margot Bakkers; Polina Pchelnikova; Etienne Blaas; Ladislav Senolt; Zoltan Szekanecz; Ernest H Choy; Maxime Dougados; Johannes Wg Jacobs; Rinie Geenen; Johannes Wj Bijlsma; Angela Zink; Daniel Aletaha; Leonard Schoneveld; Piet van Riel; Sophie Dumas; Yeliz Prior; Elena Nikiphorou; Gianfranco Ferraccioli; Georg Schett; Kimme L Hyrich; Ulf Mueller-Ladner; Maya H Buch; Iain B McInnes
Journal:  Ann Rheum Dis       Date:  2021-08-18       Impact factor: 19.103

7.  Treatment Persistence and Clinical Outcomes of Tumor Necrosis Factor Inhibitor Cycling or Switching to a New Mechanism of Action Therapy: Real-world Observational Study of Rheumatoid Arthritis Patients in the United States with Prior Tumor Necrosis Factor Inhibitor Therapy.

Authors:  Wenhui Wei; Keith Knapp; Li Wang; Chieh-I Chen; Gary L Craig; Karen Ferguson; Sergio Schwartzman
Journal:  Adv Ther       Date:  2017-07-03       Impact factor: 3.845

8.  Drug survival and the associated predictors in South Korean patients with rheumatoid arthritis receiving tacrolimus.

Authors:  Eun-Young Park; Seung-Geun Lee; Eun-Kyoung Park; Dong-Wan Koo; Ji-Heh Park; Geun-Tae Kim; Hee-Sang Tag; Hyun-Ok Kim; Young-Sun Suh
Journal:  Korean J Intern Med       Date:  2016-04-06       Impact factor: 2.884

9.  A Targeted Literature Review Examining Biologic Therapy Compliance and Persistence in Chronic Inflammatory Diseases to Identify the Associated Unmet Needs, Driving Factors, and Consequences.

Authors:  Nikos Maniadakis; Emese Toth; Michael Schiff; Xuan Wang; Maria Nassim; Boglarka Szegvari; Irina Mountian; Jeffrey R Curtis
Journal:  Adv Ther       Date:  2018-08-04       Impact factor: 3.845

  9 in total

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