Literature DB >> 35991879

Effectiveness and Safety of Iguratimod Monotherapy or Combined With Methotrexate in Treating Rheumatoid Arthritis: A Systematic Review and Meta-Analysis.

Dan Ouyang1,2, Yuan Zhi Ma1, Jie Zou1, Yong Long Wang1, Zheng Chen1, Yu Ying Yang1,2, Bin Zou3, Xin Li1,2, Jian Zhong Cao1,2.   

Abstract

Objectives: We aimed to estimate the effectiveness and safety of iguratimod (IGU) monotherapy or in combination with methotrexate (MTX) in treating rheumatoid arthritis (RA) to provide an evidence-primarily-based foundation for clinical application.
Methods: We conducted a systematic review of the meta-analysis using eight databases and two clinical trial websites searching for randomized controlled trials (RCTs) from conception to 15 March 2022, based on outcomes of patients with RA treated with IGU. The evidence quality assessment of primary outcomes was evaluated by the GRADE tool, and RevMan 5.3 and StataMP 14.0 were used to perform this research.
Results: A total of 4302 patients with RA from 38 RCTs was included in this research. Pooled results demonstrated as follows: 1) Compared with methotrexate (MTX) alone, IGU alone was superior in improving ACR20 and DAS28-ESR, while having no significant difference in ACR50 and ACR70 [ACR20: (RR 1.15, 95% CI 1.05-1.27, p = 0.004); ACR50: (RR 0.97, 95% CI 0.66-1.44, p = 0.88); ACR70: (RR 0.92, 95% CI 0.45-1.90, p = 0.83); DAS28-ESR: mean difference (MD) -0.15, 95% CI -0.27 to -0.03, p = 0.01]. 2) Compared with MTX alone, IGU + MTX was more effective in improving ACR20, ACR50, ACR70, and DAS28-ESR. [ACR20: (RR 1.24, 95% CI 1.14-1.35, p < 0.00001); ACR50: (RR 1.96, 95% CI 1.62-2.39, p <0.00001); ACR70: (RR 1.91, 95% CI 1.41-2.57, p < 0.0001)]; [DAS28-ESR: (MD) -1.43, 95% CI -1.73 to -1.12, p < 0.00001]. 3) Compared with MTX + leflunomide (LEF), ACR20, ACR50, ACR70, and DAS28-ESR of IGU + MTX had no significant difference [ACR20: (RR 1.06, 95% CI 0.94-1.19, p = 0.38); ACR50: (RR 1.10, 95% CI 0.66-1.84, p = 0.72); ACR70: (RR 1.20, 95% CI 0.45-3.20, p = 0.71); DAS28-ESR: (MD -0.02, 95% CI -0.13 to -0.10, p = 0.77)]. 4) Compared with MTX + hydroxychloroquine (HCQ), IGU + MTX was superior in improving DAS28-ESR (MD -2.16, 95% CI -2.53 to -1.79, p < 0.00001). 5) Compared with MTX + tripterygium glycosides (TGs), IGU + MTX was more effective in improving DAS28-ESR (MD -0.94, 95% CI -2.36 to 0.48, p = 0.19). 6) There were no significant differences in adverse events (AEs) between the groups of IGU vs. MTX (RR 0.96, 95% CI 0.71-1.31, p = 0.80), IGU + MTX vs. MTX (RR 1.10, 95% CI 0.90-1.35, p = 0.34), IGU + MTX vs. MTX + HCQ (RR 0.64, 95% CI 0.29-1.42, p = 0.27), and IGU + MTX vs. MTX + TGs (RR 0.75, 95% CI 0.28-2.02, p = 0.57). The incidence of AEs in the IGU + MTX group was lower than the MTX + LEF group (RR 0.83, 95% CI 0.71-0.98, p = 0.03).
Conclusion: Compared to the MTX alone subgroup, IGU alone offers clear advantages in improving ACR20 and DAS28-ESR, despite the insufficient evidence for DAS28-ESR findings. IGU + MTX shows clear benefits in improving ACR20, ACR50, ACR70, and DAS28-ESR scores compared to standard therapies. When the intervention (IGU alone or IGU + MTX) lasted for 52 weeks, it demonstrated superior efficacy in improving ACR20 of patients without prominent adverse events. Notably, IGU or IGU + MTX has apparent advantages in improving ACR20 of first-visit RA, and IGU + MTX has obvious advantages in improving DAS28-ESR of refractory RA. Furthermore, IGU + MTX does not increase the risk of leukopenia, but it can decrease the risk of liver function tests (LFTs), regardless of the age or the stage of RA. Clinical Trial Registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42022295217.
Copyright © 2022 Ouyang, Ma, Zou, Wang, Chen, Yang, Zou, Li and Cao.

Entities:  

Keywords:  iguratimod; meta-analysis; methotrexate; rheumatoid arthritis; systematic review

Year:  2022        PMID: 35991879      PMCID: PMC9389904          DOI: 10.3389/fphar.2022.911810

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.988


1 Introduction

Rheumatoid arthritis (RA) is an autoimmune disease that alternates between progressing and stabilizing owing to abnormal immune response. The disease’s etiology is still unknown, and the pathogenesis is complicated (Meehan et al., 2021). The primary pathological foundation is erosive synovitis, which gradually leads to angiogenesis and pannus formation (Matsui et al., 2009), and finally leads to joint bone and cartilage destruction, resulting in joint deformity and dysfunction (Auréal et al., 2020). Patients with advanced-stage cancer have a significantly lower quality of life and are more likely to have labor loss, paralysis, and despair (Hunter et al., 2017; Otón and Carmona, 2019). The overall goal of RA treatment is to control symptoms and prevent disease progression. It encourages early treatment and treat-to-target to achieve clinical remission or dropped disease activity. Currently, disease-modifying anti-rheumatism drugs (DMARDs), nonsteroidal anti-inflammatory medicines (NSAIDs), glucocorticoids, and other medications are used to treat RA. There are four major categories of DMARDs, traditional synthesis (csDMARDs), targeted synthesis (tsDMARDs), biological original research (boDMARDs), and biosimilars (bsDMARDs). Traditional DMARDs include methotrexate (MTX), leflunomide (LEF), and tripterygium glycosides (TGs) (Burmester and Pope, 2017; Ferro et al., 2017). Targeted DMARDs include anti-TNF-α blockers, anti-IL antibodies, and etanercept (Burmester and Pope, 2017; Liu et al., 2018). Attributable to the complicated pathophysiology of RA, clinical therapy with first-line drugs such as MTX does not always meet therapeutic requirements. The international guidelines recommend that when a single DMARD treatment does not meet the criteria, combination of DMARDs improve the curative effects (Singh et al., 2016; Smolen et al., 2017; Lau et al., 2019). Guidelines of China in 2018 also mentioned that for patients who do not accord with standard MTX alone, it is recommended to use MTX in combination with another DMARD (Chinese Rheumatology Association, 2018). IGU is a new type of small-molecule compound, which mainly regulates the immune system, inhibits T-cell and B-cell differentiation, reduces inflammatory factors, improves the function of joint swelling, and is widely used in China and Japan (Jiang et al., 2020). Multiple studies have demonstrated the superior efficacy of IGU alone or in combination with MTX in treating RA with acceptable safety (Ishiguro et al., 2013; Shi et al., 2015; Du et al., 2021). Furthermore, it was shown to be beneficial for refractory RA and elderly RA without noticeable adverse reactions (AEs) (Cao et al., 2018; Ju et al., 2020; Li and Sun, 2021). Recently, a large multicenter randomized controlled trial was conducted to evaluate the effectiveness and safety of IGU alone or in combination with MTX. Du F et al. discovered that IGU alone or IGU + MTX was superior to MTX at week 52 with a higher ACR20 response and adequate security (Du et al., 2012). Hu et al. (2021) conducted a systematic review and meta-analysis of IGU alone or IGU + MTX treatment, but only 23 RCTs were included. Furthermore, RCTs from additional clinical research centers demonstrated the effectiveness and safety of IGU alone or in combination with MTX in treating RA (Du et al., 2021; Niu et al., 2021; Zhao, 2021). As a result, for the first time, this study could conduct a systematic review and meta-analysis of the efficacy and safety of IGU alone or combined with MTX, providing an evidence-based foundation, new direction for clinical treatment, and new research direction for RCTs in the future.

2 Materials and Methods

2.1 Protocol

This meta-analysis was performed strictly by the protocol registered in PROSPERO (CRD42022295217) and the PRISMA guidelines (Supplementary Table S1).

2.2 Literature Search Strategy

We searched eight databases, the Chinese Biomedical Medicine (CBM), China National Knowledge Infrastructure (CNKI), Wanfang Med Database, China Science and Technology Journal Database (VIP), PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, Web of Science, as well as two clinical trial websites, the ClinicalTrials.gov and Chinese Clinical Trial Registry, from conception to 15 March 2022. The search strategy is shown in Supplementary Table S2.

2.3 Screening Standard

2.3.1 Inclusion Criteria

(1) Participants: All patients over 18 with specific diagnostic criteria for RA (Arnett, 1988; Aletaha et al., 2010), with a balanced baseline and comparability. (2) Intervention and control: The treatment of the experimental group included IGU monotherapy or combined with Western medicine, lifestyle, or exercise. The control group included placebo and Western medicine but without IGU. (3) Outcomes: Primary endpoints are ACR20/50/70, 28 joint disease activity score-ESR (DAS28-ESR), and adverse events (AEs). Secondary endpoints are tender joint count-28 (TJC-28), swollen joint count-28 (SJC-28), morning stiffness (min), visual analog scale (VAS), global patient assessment (PGA), global physician assessment (EGA), Health Assessment Questionnaire (HAQ), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), anti-cyclic citrullinated peptides (anti-CCP), rheumatoid factors (RF).

2.3.2 Exclusion Criteria

(1) Repeated publications (2) Review and meta-analysis (3) Animal or cell-based experiments (4) No RCTs (5) Obscure data (6) Full text cannot be obtained (7) Case reports.

2.4 Data Extraction and Risk of Bias Assessment

The literature search was conducted independently by two researchers and data extraction by five independent reviewers according to the screening criteria, followed by data cross-check. Any discrepancies were resolved by consensus or consultation with other reviewers. Literature quality was assessed by the bias risk assessment criteria of the Cochrane Collaboration network (Deeks et al., 2021a). The assessment is as follows: 1) random assignment method; 2) allocation concealment; 3) blind method; 4) integrity of data; 5) selective reporting; 6) other bias.

2.5 Statistical Analysis

RevMan 5.3 and StataMP 14.0 software were used for this meta-analysis. First, a heterogeneity test was carried out. I2 and chi-square tests evaluated significance and heterogeneity. If the heterogeneity test results were not statistically significant (p > 0.1, I2 ≤ 50%), choose the fixed-effect model. Otherwise, choose the random-effects model (Deeks et al., 2021b). To identify the cause of the heterogeneity, the subgroup analysis was carried out based on the control group's intervention. The dichotomous variables were calculated as odds ratio (OR) or risk ratio (RR), and continuous variables as mean difference (MD) or standard mean difference (SMD). All effect sizes were expressed as 95% confidence interval (95% CI). The meta-analysis test level was p = 0.05. For primary outcomes, the publication bias was assessed by Egger's and Harbord's texts. p > 0.1 was considered free of publication bias. For all outcomes, sensitivity analyses were evaluated by observing the changes of RR (OR) and MD (SMD) after changing the effect model. According to the GRADE manual (GRADEpro, 2015), the GRADE tool was used to grade the quality of the evidence (Schünemann, 2013).

3 Results

3.1 Literature Screening Results

A total of 549 relevant studies were initially retrieved, and 38 articles were finally included according to the inclusion and exclusion criteria (Figure 1).
FIGURE 1

Flow diagram.

Flow diagram.

3.2 Basic Characteristics of the Included Literature

This study ended up including 38 RCTs involving 4302 participants. The number of people who took part in the IGU alone ranged from 30 to 297, while those who took part in the IGU + MTX study mainly were between 27 and 305. Interventions in the control group were predominantly MTX-only. The control group of Ma et al. (2017); Zhu (2017); Tian et al. (2020); Niu et al. (2021); and Meng et al. (2015) used MTX + LEF; the control group of Liu et al. (2020) and Chen and Hu (2021) used MTX + HCQ; the control group of Mo et al. (2018) and Li and Sun (2021) used MTX + TGs. In all studies, there was no statistical significance in the gender, age, and severity of the disease between the two groups before treatment (Table 1).
TABLE 1

The characteristics of the included studies.

SourceMean Age (years)Disease duration (years)Baseline DAS28Sample Size (Female/Male)Intervention and doseMain OutcomesAge RangeTreatment durationDisease Stage
Trial GroupControl GroupTrial GroupControl GroupTrial GroupControl GroupTrial GroupControl Group
Ishiguro N 201554.8 ± 9.953.5 ± 10.04.48 ± 0.834.48 ± 0.884.87 ± 0.894.97 ± 0.86164 (134/30)88 (70/18)IGU 25 mg qd-bid + MTX 6/8 mg qw VS. MTX 6/8 mg qw + PLAACR50/70, DAS28, HAQ, RF20<years<7024w-
Shi X D 201548.9 ± 12.248.4 ± 10.27.5 ± 4.87.1 ± 6.65.2 ± 1.35.2 ± 1.930/30 (42/18)MTX 10–12.5 mg qw + IGU 25 mg bid VS. MTX 10–12.5 mg qwACR20/50/70, DAS28, VAS, PGA, EGA, HAQ, SJC, TJC, ESR, CRP, AEs22 < years<7024wFirst-visit
Bai Q H 2015------50/50 (76/24)IGU 25 mg bid + MTX 10 mg qw VS. MTX 10 mg qwACR20/50, AEs22 < years<6212w24w-
Mo H 201531.8 ± 8.531.9 ± 8.65.6 ± 1.85.5 ± 1.9--30 (22/8)30 (21/9)IGU 25 mg bid + MTX 15 mg qw VS. MTX 15 mg qwACR20/50/70, ESR, CRP, RF, Anti-CCP, AEs18 < years<7212w-
Xiong Y M 201556 ± 1251 ± 13----30 (24/6)28 (21/6)IGU 25 mg bid + MTX 10 mg qw VS. MTX 10 mg qwDAS28, ESR, CRP, RF, Anti-CCP21 < years<6812w,24w-
Xu B J 201546.10 ± 17.09A:43.28 ± 10.46 B:44.71 ± 9.324.7 ± 0.58A:4.34 ± 0.78 B:4.23 ± 0.94--40 (23/17)A:38 (24/14) B:32 (20/12)IGU 25 mg bid + MTX 7.5–20 mg qw VS. IGU 25 mg bid VS. MTX 7.5–20 mg qwPGA, Morning stiffness, TJC, SJC, ESR, CRP, RF, AEs23 < years<7252w-
Wang Z J 201648.71 ± 8.7747.68 ± 7.678.31 ± 2.617.28 ± 2.585.95 ± 1.646.48 ± 1.9244 (29/15)43 (21/6)IGU 25 mg bid + MTX 15 mg qw VS. MTX 15 mg qwDAS28, AEs35 < years<7024wRefractory
Meng D Q 201641.6 ± 20.345.1 ± 19.2--6.40 ± 1.905.97 ± 1.6230 (26/4)30 (23/7)IGU 25 mg bid + MTX 15 mg qw VS. MTX 15 mg qwDAS28, AEs18 < years<6516wRefractory
Xu L M 201746.34 ± 2.2946.19 ± 2.57--6.92 ± 2.916.72 ± 2.9442 (23/19)41 (22/19)IGU 25 mg bid + MTX 7.5–20 mg qw VS. MTX 7.5–20 mg qwDAS28, Morning stiffness time, ESR, CRP21 ≤ year≤7052W-
Cao L N 201867.5 ± 3.2A:68.0 ± 2.8 B:68.5 ± 2.0--4.99 ± 0.17A:4.98 ± 0.27 B:4.91 ± 0.3043 (23/19)A:30 (15/15) B:30 (20/10)IGU 25 mg bid + MTX 10–12.5 mg qw VS. IGU 25 mg bid VS. MTX 10–12.5 mg qwDAS28, HAQ61 ≤ year≤7824w-
Zhao H N 201847.20 ± 3.4046.90 ± 3.604.28 ± 0.364.23 ± 0.346.9 ± 2.86.8 ± 2.936 (24/12)36 (23/13)MTX 10 mg qw + IGU 25 mg bid VS. MTX 10 mg qwMorning stiffness, ESR, CRP, AEs23 < years<7512w-
Ju Y J 202042.31 ± 13.7841.87 ± 13.944.72 ± 0.434.56 ± 0.586.46 ± 2.246.27 ± 2.1258 (23/35)58 (25/33)IGU 25 mg bid + MTX 10–15 mg qw-biw VS. MTX 10–15 mg qw-biwDAS28, ESR, CRP, RF, AEs20.7 < years<69.324wRefractory
Xiong M L 202048.21 ± 3.7848.33 ± 5.931.98 ± 0.431.54 ± 0.39--51 (29/22)51 (30/21)IGU 25 mg bid + MTX 10–15 mg qw VS. MTX 10–15 mg qwMorning stiffness, SJC, TJC, AEs26 < years<6524w-
Jing J 202050.03 ± 9.9649.87 ± 9.786.13 ± 1.536.26 ± 1.616.31 ± 0.856.29 ± 0.8346 (25/21)46 (26/20)IGU 25 mg bid + MTX 10–12.5mg/w VS. MTX 10–12.5mg/wDAS28, Morning stiffness, ESR, CRP, TJC, SJC, RF31 < years<7324w-
Xie L 201862.89 ± 4.5762.74 ± 3.966.41 ± 2.167.35 ± 1.876.75 ± 1.696.84 ± 1.8739 (27/12)39 (25/14)IGU 25 mg bid + MTX 10–15 mg qw-biw VS. MTX 10–15 mg qw-biwDAS28, AEs25 < years<7116wRefractory
Qi D X 2019------40/40/40 (Unknown)IGU 25 mg bid + MTX 7.5–10 mg qw VS. IGU 25 mg bid VS. MTX 7.5–10 mg qwACR20/50/70, PGA, EGA, HAQ, TCJ, SJC, ESR, CRP, RF, Anti-CCP, AEs25<years<6524w-
Wang L H 201948.13 ± 6.4047.83 ± 6.375.60 ± 0.705.41 ± 0.726.30 ± 0.886.27 ± 0.8547 (23/23)46 (25/22)IGU 25 mg bid + MTX 15 mg qw VS. MTX 15 mg qwDAS28, TJC, SJC, ESR, CRP, RF, AEs30 < years<8024w-
Yan K H 201943.74 ± 4.8343.58 ± 4.611.54 ± 2.3611.56 ± 2.41--40 (28/12)40 (29/11)IGU 25 mg bid + MTX 15 mg qw VS. MTX 15 mg qwACR20/50/70, AEs22 < years<6912w/9w-
Zhao W Z 202148.41 ± 6.3948.36 ± 6.368.44 ± 2.398.39 ± 2.366.28 ± 1.856.31 ± 1.8652 (26/26)52 (28/24)IGU 25 mg bid + MTX 10 mg qw VS. MTX 10 mg qwDAS28, Morning stiffness, TJC,SJC,ESR,RF, AEs42 < years<5524w-
Duan X 201548.9 ± 12.248.4 ± 10.27.5 ± 4.87.1 ± 6.65.2 ± 1.35.2 ± 0.930/30 (42/18)IGU 25 mg bid + MTX 10–12.5 mg qw VS. MTX 10–12.5 mg qwACR20/50/70, VAS, PGA, EGA, TJC, SJC, ESR, CRP, AEs24w-
Xia Z 201646.63 ± 10.61---3.82 ± 0.07A:3.98 ± 0.09 B:3.79 ± 0.0844/38/39 (107/24)IGU 25 mg bid + MTX 10 mg qw VS. IGU 25 mg bid VS. MTX 10 mg qwMorning stiffness. SJC, TJC, ESR, CRP46.63 ± 10.6124w-
Li S Y 201945.25 ± 2.7845.425 ± 2.577.26 ± 0.827.21 ± 0.80--40 (13/27)40 (15/25)IGU 25 mg bid + MTX 7.5 m g-15 mg qw VS. MTX 7.5 m g-15 mg qwMorning stiffness, ESR, CRP, AEs32 < years<794w-
Du F 202148.37 ± 0.69A:46.87 ± 0.67 B:47.63 ± 10.7011.67 ± 7.27A:11.67 ± 7.16 B:11.60 ± 7.985.103 ± 0.956A:5.084 ± 0.994 B: 5.102 ± 0.979305 (238/67)A:297 (230/67) B:293 (232/61)IGU 25 mg bid + MTX 10–15 mg qw VS. IGU 25 mg bid VS. MTX 10–15 mg qwACR20,AEs52wFirst-visit
Chen X Y 201850.3 ± 6.87.2 ± 1.5--40/40 (56/24)IGU 25 mg bid + MTX 10–12.5 mg qw VS. MTX 10–12.5 mg qwACR20/50/70, AEs31 < years<714w,8w-
Xia Z B 201754.50 ± 4.5055.25 ± 4.75----27 (12/15)28 (12/16)IGU 25 mg bid + MTX 10 mg qw-biw VS. MTX 10 mg qw-biwESR, CRP, RF8wRefractory
Zhao L 201745.97 ± 10.75A:46.46 ± 11.01 B:46.31 ± 10.89--7.40 ± 0.67A: 7.12 ± 0.63 B:7.07 ± 0.5029 (26/3)A:34 (27/7) B:33 (28/5)IGU 25 mg bid + MTX 10 mg qw VS. IGU 25 mg bid + PLA 10 mg qw VS. MTX 10 mg qw + PLA 25 mg bidDAS28-ESR、VAS、PGA、EGA、HAQ、ESR、CRP20 < years<6924w-
Chen B X 202152.73 ± 3.3953.13 ± 3.649.23 ± 1.529.94 ± 1.73--30 (18/12)30 (20/10)IGU 25 mg bid + MTX 10 mg qw VS. MTX 10 mg qw + HCQ 200 mg bidCRP, AEs41 < years<7024w-
Liu C L 202044.4 ± 11.246.5 ± 12.88.2 ± 4.15.7 ± 4.26.75 ± 2.096.78 ± 2.1373 (40/33)73 (30/43)IGU 25 mg bid + MTX 10–15 mg qw VS. MTX 10–15 mg qw + HCQ 200 mg bidDAS28, TJC, SJC, ESR, CRP, RF, AEs30 < years<6524w-
Tian X P 202050 ± 1049 ± 116.08 ± 6.256.75 ± 7.33--107 (87/20)100 (90/10)IGU 25 mg bid + MTX 10 mg qw PLA 20 mg qd VS. MTX 10 mg qw + LEF 20 mg qd + PLA 25 mg qdACR20/50/70, HAQ, TJC, SJC, ESR, CRP, AEs18 < years<7052w-
Zhu L J 201767.2 ± 3.066.8 ± 3.12.7 ± 0.52.8 ± 0.4--42 (22/20)42 (23/19)IGU 25 mg bid + MTX 10 mg qw VS. LEF 20 mg qd + MTX 10 mg qwDAS28, Morning stiffness, SJC, TJC, AEs67.2 ± 3.0 66.8 ± 3.124wFirst-visit
Ma C 201764.41 ± 6.216.11 ± 3.4164.22 ± 5.815.95 ± 3.54--32 (22/10)32 (23/9)IGU 25 mg bid + MTX 10–15 mg qw VS. LEF 20 mg qd + MTX 10–15 mg qwTJC, SJC, ESR, CRP, AEs45 < years<8924w-
Niu M 202148.16 ± 10.2649.08 ± 11.136.27 ± 3.216.57 ± 3.355.23 ± 0.865.21 ± 0.7964 (35/29)64 (33/31)IGU 25 mg bid + MTX 10 mg qw VS. LEF 20 mg qd + MTX 10 mg qwDAS28, VAS, Morning stiffness, TJC, SJC, AEs30 < years<6524w-
Meng D Q 201544.2 ± 20.541.7 ± 22.8--6.53 ± 1.656.37 ± 1.8933 (29/4)33 (26/7)IGU 25 mg bid + MTX 10mg/w VS. MTX 10mg/w + LEF 10 mg qdACR20/50/70, DAS28, AEs44.2 ± 20.5 41.7 ± 22.88w,16wRefractory
Mo M L 201845 ± 11.5643.30 ± 10.250.75 ± 0.580.82 ± 0.546.65 ± 1.786.78 ± 1.5530 (22/8)30 (24/6)IGU 25 mg bid + MTX 10 mg qw VS. MTX 10 mg qw + Tripterygium Glycosides 20 mg tidDAS28, ESR, CRP, Anti-CCP, RF, AEs31 < years<574w,8w,12w-
Xia N 20203.73 ± 2.783.62 ± 2.454.20 ± 1.414.17 ± 1.22--50 (39/11)50 (37/13)IGU 25 mg bid + MTX 7.5–15 mg qw VS. MTX 10 mg qw + Tripterygium Glycosides 1–1.5 mg/(kg.d) tidTJC, SJC, CRP, ESR41 < years<6812w-
Li J Y 202145.32 ± 7.447.56 ± 8.134.34 ± 2.194.12 ± 2.857.21 ± 1.257.58 ± 1.6330 (22/8)30 (19/11)IGU 25 mg bid + MTX 10 mg qw VS. MTX 10 mg qw + Tripterygium Glycosides 1–1.5 mg/(kg.d) tidDAS28, Morning stiffness, SJC, TJC, ESR, CRP, RF, AEs45.32 ± 7.44 47.56 ± 8.1324wRefractory
Yang C X 201645.1 ± 9.141.9 ± 9.2----40 (16/24)40 (12/28)IGU 50 qd VS. MTX 10 mg qwACR20/50/7039 < years<6812w-
Zhu H 201946.6 ± 5.964.4 ± 3.9--5.39 ± 0.705.46 ± 0.7030 (25/5)30 (27/3)IGU 25 mg bid VS. MTX10 mg qwACR20/50/70, AEs66.6 ± 5.9 64.4 ± 3.94w,12w,24w-
The characteristics of the included studies.

3.3 Risk of Bias Assessment

3.3.1 Random Sequence Generation and Allocation Concealment

Random allocation was mentioned in all of the included articles, with 15 RCTs of them mentioned the random number table method (Mo and Ma, 2015; Shi et al., 2015; Ma et al., 2017; Zhu, 2017; Cao et al., 2018; Chen, 2018; Mo et al., 2018; Li, 2019; Jing et al., 2020; Ju et al., 2020; Liu et al., 2020; Xia et al., 2020; Xiong and Geng, 2020; Niu et al., 2021; Meng et al. (2015). Two RCTs mentioned the two-color ball randomized method (Zhao and Hao, 2018; Zhao, 2021). Xu et al. (2017) mentioned the method of the random drawing, and Tian et al. (2020) mentioned the system of random regrouping. We classified these studies as low risk of bias. The remaining 17 RCTs did not describe the random sequence generation and were classified as unclear risk of bias. Tian et al. (2020) referred to the "double-dummy" method to make the pills similar in number and appearance; we considered this allocation concealment and classified it as low risk of bias. The other RCTs did not state whether allocation concealment was made, so we assessed the risk of bias as unclear.

3.3.2 Blinding

Tian et al. (2020) and Ishiguro et al. (2013) used a double-blind method, so they were considered to be a low risk of bias. Other RCTs did not state whether they used blinding. Most of their primary outcome indicators are subjective evaluation, which was quickly likely to be affected by the lack of a blinding method. Therefore, they were evaluated as high risk of bias.

3.3.3 Incomplete Outcome Data and Selective Outcome Reporting

Xia et al. (2016) and Zhao et al. (2017) had incomplete outcome data. There was an imbalance in numbers and reasons for missing outcome data across intervention groups, so we evaluated the risk of bias as high. The other RCTs did not have incomplete results, and we assessed the risk of bias as low. The evaluation method mentioned the morning stiffness, TJC-28, SJC-28, RF, and ESR but didn’t report the results Chen and Hu (2021). Ma et al. (2017) missing the results of DAS28-ESR. Mo et al. (2018) missing the results of VAS, PGA, EGA, morning stiffness, TJC-28, and SJC-28. Therefore, we thought they had selective outcome reporting and evaluated the risk of bias as high. The remaining RCTs didn't have selective outcome reporting and were evaluated as low risk.

3.3.4 Other Possible Bias

These RCTs were free of other sources of bias, so we assess them as low risk. The specific details (Figures 2, 3).
FIGURE 2

Risk of bias graph.

FIGURE 3

Risk of bias summary.

Risk of bias graph. Risk of bias summary.

3.4 Primary Endpoints

3.4.1 IGU Monotherapy

3.4.1.1 ACR20

Four RCTs compared the ACR20 of the IGU and MTX groups, with 407 patients in the IGU alone group and 403 patients in the control group. There was a high degree of homogeneity (p = 0.93, I2 = 0%) among RCTs. It was decided to use the fixed-effect model. According to the data in Figure 4, the ACR20 of the IGU group was greater than that of the MTX group (RR 1.15, 95% CI 1.05–1.27, p = 0.004) among RA patients.
FIGURE 4

The forest plots of ACR20, ACR50, ACR70 improvement rate in the IGU vs. MTX group.

The forest plots of ACR20, ACR50, ACR70 improvement rate in the IGU vs. MTX group.

3.4.1.2 ACR50

Four RCTs compared ACR50 between the IGU and MTX groups, with 110 patients in the IGU alone and 110 patients in the control group. There was a homogeneity (p = 0.89, I2 = 0%) among RCTs. It was decided to use the fixed-effect model. According to Figure 4, ACR50 between the IGU group and the MTX group is not statistically significant (RR 1.10, 95% CI 0.66–1.84, p = 0.72).

3.4.1.3 ACR70

Three RCTs assessed ACR70 in RA patients, involving 110 patients in the IGU alone and 110 in the control group. There was a homogeneity (p = 0.97, I2 = 0%) among RCTs. It was decided to use the fixed-effect model. According to Figure 4, ACR70 of RA patients between the IGU and MTX groups has no significant difference (RR 0.92, 95% CI 0.45–1.90, p = 0.83).

3.4.1.4 DAS28-ESR

Three RCTs assessed DAS28-ESR in RA patients, involving 91 patients in the IGU alone and 89 in the control group. There was low heterogeneity (p = 0.31, I2 = 4%, fixed-effects model) among RCTs. As shown in Figure 8, DAS28-ESR of the IGU alone group was lower than the MTX group (MD -0.15, 95% CI -0.27 to -0.03, p = 0.01).
FIGURE 8

The forest plots of DAS28-ESR in the IGU monotherapy or IGU + MTX vs. control groups.

3.4.2 IGU + MTX

3.4.2.1 ACR20

Ten RCTs evaluated the ACR20 in RA patients, which involved 705 patients in the IGU + MTX group and 687 patients in the control group. According to the intervention characteristics of the control group, ten RCTs were divided into two subgroups (MTX alone subgroup and MTX + LEF subgroup). There was low heterogeneity in each subgroup (MTX subgroup: p = 0.14, I2 = 36%, MTX + LEF subgroup: p = 0.65, I2 = 0%). The fixed-effect model was used. As shown in Figure 5, there was a statistically significant difference (RR 1.24, 95% CI 1.14–1.35, p < 0.00001) in the MTX subgroup, and the IGU + MTX group indicated a higher incidence of ACR20 compared to the MTX group. However, between the IGU + MTX and the MTX + LEF group, ACR20 of RA patients showed no significant difference (RR 1.06, 95% CI 0.94–1.19, p = 0.38).
FIGURE 5

The forest plots of ACR20 improvement rate in the IGU + MTX vs. control groups.

The forest plots of ACR20 improvement rate in the IGU + MTX vs. control groups.

3.4.2.2 ACR50

Nine RCTs evaluated ACR50 in RA patients, which involved 457 patients in the IGU + MTX group and 382 patients in the control group. These studies were divided into two subgroups (MTX alone subgroup and MTX + LEF subgroup). There was homogeneity in each subgroup (MTX subgroup: p = 0.98, I2 = 0%, MTX + LEF subgroup: not applicable) among studies. The fixed-effect model was used. According to the data shown in Figure 6, there was a significant difference (RR 1.96, 95% CI 1.62–2.39, p < 0.00001) in the MTX subgroup, and the IGU + MTX group reflected a higher ACR50 compared to MTX. However, between the IGU + MTX and the MTX + LEF group, ACR50 of RA patients demonstrated no significant difference (RR 1.10, 95% CI 0.66–1.84, p = 0.72).
FIGURE 6

The forest plots of ACR50 improvement rate in the IGU + MTX vs. control groups.

The forest plots of ACR50 improvement rate in the IGU + MTX vs. control groups.

3.4.2.3 ACR70

Eight RCTs evaluated ACR70 in RA patients in the IGU + MTX group, involving 413 patients in the IGU + MTX group and 337 patients in the control group. These studies were divided into two subgroups (MTX alone subgroup and MTX + LEF subgroup). There was homogeneity between subgroups (MTX subgroup: p = 0.96, I2 = 0%, MTX + LEF subgroup: not applicable). The fixed-effect model was used. The data are presented in Figure 7. The MTX subgroup showed a significant difference (RR 1.91, 95% CI 1.41–2.57, p < 0.0001). This indicated that the incidence of ACR70 was higher in the IGU + MTX group than in MTX. However, the MTX + LEF subgroup showed no significant difference (RR 1.20, 95% CI 0.45–3.20, p = 0.71) among the groups, suggesting no difference in ACR70 between the IGU + MTX group and the MTX + LEF group.
FIGURE 7

The forest plots of ACR70 improvement rate in the IGU + MTX vs. control groups.

The forest plots of ACR70 improvement rate in the IGU + MTX vs. control groups.

3.4.2.4 DAS28-ESR

Eighteen RCTs evaluated DAS28-ESR in RA patients, involving 921 patients in the IGU + MTX group and 798 patients in the control group. These studies were divided into four subgroups (MTX monotherapy subgroup, MTX + LEF subgroup, MTX + HCQ, MTX + TGs subgroup) by the intervention characteristics of the control group. According to Figure 8, there was high heterogeneity between subgroups (MTX subgroup: p < 0.00001, I2 = 87%, MTX + LEF subgroup: p = 0.30, I2 = 18%, MTX + HCQ subgroup: not applicable, MTX + TGs subgroup: p = 0.02, I2 = 82%). For the random-effect model, the data showed a statistically significant difference in the MTX subgroup (MD −1.43, 95% CI −1.73 to −1.12, p < 0.00001) and MTX + HCQ subgroup (MD −2.16, 95% CI −2.53 to −1.79, p <0.00001), but no significant deference in the other two subgroups (MTX + LEF subgroup: MD −0.02, 95% CI −0.13 to −0.10, p = 0.77, MTX + TGs subgroup: MD -0.94, 95% CI −2.36 to 0.48, p = 0.19). Taken together, these RCTs reflected that DAS28-ESR of IGU + MTX was superior to MTX monotherapy and MTX + HCQ in RA patients. However, it was essentially the same as that of MTX + LEF and MTX + TGs. The forest plots of DAS28-ESR in the IGU monotherapy or IGU + MTX vs. control groups.

3.5 Secondary Endpoints

The secondary endpoints contained the following: tender joint count-28 (TJC-28), swollen joint count-28 (SJC-28), morning stiffness (min), visual analog scale (VAS), patient global assessment (PGA), physician global assessment (EGA), Health Assessment Questionnaire (HAQ), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), anti-cyclic citrullinated peptides (anti-CCP), rheumatoid factors (RF). Results are shown in Table 2.
TABLE 2

Outcomes of secondary endpoints.

OutcomesTypes of InventionSubgroupHeterogeneityOverall EffectStatisticalStudies (N)Participants(N)Figures
I2 (%) p MD95%CI p SignificantMethod
TJC-28IGUMTX700.04-2.17[-2.92, -1.42]<0.00001YesRandom3237S1
IGU + MTXMTX00.44-2.54[-2.69, -2.38]<0.00001YesRandom5427S3
MTX + LEF320.22-0.14[-0.34,0.06]0.16No4413
MTX + HCQ0-0.76[-0.94, -0.58]<0.00001Yes1146
MTX + TGs370.21-1.78[-2.33, -1.23]<0.00001Yes2160
Summary96<0.00001-1.40[-1.98, -0.81]<0.0001Yes121146
SJC-28IGUMTX90<0.0001-1.22[-1.40, -1.04]<0.00001YesRandom3237S1
IGU + MTXMTX50.38-2.98[-3.11, -2.85]<0.00001YesRandom5427S4
MTX + LEF730.01-0.09[-0.36, 0.18]0.50No4413
MTX + HCQ0-1.30[-1.67, -0.93]<0.00001Yes1146
MTX + TGs550.14-1.99[-2.66, -1.33]<0.00001Yes2160
Summary99<0.00001-1.84[-2.81, -0.87]0.0002Yes121146
VASIGUMTX00.45-5.61[-7.12, -4.11]<0.00001NoFixed3234S2
IGU + MTXMTX0-5.30[-7.71, -2.89]<0.0001YesRandom160S5
MTX + TGs0-0.21[-1.08, 0.06]0.64No160
Summary100<0.00001-2.63[-7.61, 2.36]0.30No2180
PGAIGUMTX00.59-2.73[-3.52, -1.95]<0.00001YesFixed3167S2
IGU + MTXMTX00.74-12.77[-13.40, -12.13]<0.00001YesFixed4293S5
EGAIGUMTX00.85-3.27[-3.95, -2.59]<0.00001YesFixed3234S2
IGU + MTXMTX730.01-5.08[-9.93, -0.82]<0.00001YesRandom4275S5
HAQIGUMTX00.890.00[-0.01, 0.01]0.96NoFixed4294S2
IGU + MTXMTX88<0.00001-0.17[-0.50, 0.17]0.34NoRandom4260S5
MTX + LEF00.00[-0.26, 0.26]1.00No1144
Summary85<0.0001-0.13[-0.41, 0.14]0.34No5404
ESRIGUMTX590.04-6.34[-6.89, -5.79]<0.00001YesRandom5357S1
IGU + MTXMTX96<0.00001-15.27[-20.31, -10.23]<0.00001YesRandom11815S6
MTX + LEF740.02-2.37[-9.64,4.90]0.52No3324
MTX + HCQ0-6.61[-8.17, -5.05]<0.00001Yes1146
MTX + TGs520.12-5.91[-8.86, -2.95]<0.0001Yes3220
Summary97<0.00001-10.98[-15.01, -6.96]<0.00001Yes181505
CRPIGUMTX96<0.00001-5.91[-9.45, -2.37]0.001YesRandom5357S1
IGU + MTXMTX95<0.00001-10.87[-14.31, -7.43]<0.00001YesRandom12875S7
MTX + LEF440.182.15[-3.78,8.09]0.48No2199
MTX + HCQ930.0001-4.17[-6.75, -1.58]0.002Yes2206
MTX + TGs00.82-2.56[-4.14, -0.98]0.001Yes2120
Summary97<0.00001-7.75[-10.41, -5.08]<0.00001Yes181400
Anti-CCPIGUMTX0-13.00[-18.40, -7.60]<0.00001YesFixed153S2
IGU + MTXMTX00.77-17.51[-22.66, -12.37]<0.00001YesFixed3175S8
MTX + LEF0-125[-277.88, 27.88]0.11No1142
MTX + TGs0-10.03[-78.49, 58.43]0.77No160
Summary00.65-17.59[-22.72, -12.46]<0.00001Yes5377
RFIGUMTX00.35-3.03[-7.69,1.63]0.20NoFixed2123S2
IGU + MTXMTX380.18-32.11[-34.54, -29.68]<0.00001YesRandom4231S9
MTX + HCQ0-20.5[-24.18, -16.82]<0.00001Yes1146
MTX + TGs0-354.4[-435.91, -272.89]<0.00001Yes160
Summary95<0.00001-31.66[-40.06, -23.26]<0.00001Yes6437
Morning stiffnessIGUMTX98<0.00001-0.31[-0.35, -0.28]<0.00001YesRandom2174S1
IGU + MTXMTX99<0.00001-4.05[-5.00, -3.09]<0.00001YesRandom8686S10
MTX + LEF410.19-0.78[-4.00,2.44]0.63No2205
MTX + TGs0-0.46[-0.80, -0.12]0.009Yes160
Summary98<0.00001-1.21[-1.70, -0.73]<0.00001Yes10951
Outcomes of secondary endpoints.

3.5.1 Adverse Events

3.5.1.1 IGU Monotherapy

Three RCTs assessed the incidence rate of AEs in RA patients, involving 367 patients in the IGU alone and 363 patients in the control group. Figure 9 showed that there was low heterogeneity (p = 0.15, I2 = 48%) and no significant difference among trials (RR 0.96, 95% CI 0.71–1.31], p = 0.80, fixed-effect model). These findings suggested that the AEs of IGU monotherapy was as comparable to MTX.
FIGURE 9

The forest plots of AEs rate in the IGU monotherapy or IGU + MTX vs. control groups.

The forest plots of AEs rate in the IGU monotherapy or IGU + MTX vs. control groups.

3.5.1.2 IGU + MTX

Twenty-four RCTs evaluated the incidence rate of adverse events in RA patients, involving 1734 patients in the IGU + MTX group and 1702 patients in the control group. The intervention features of the control group split these investigations into four subgroups (MTX monotherapy subgroup, MTX + LEF subgroup, MTX + HCQ subgroup, MTX + TGs subgroup). Each subgroup had a high degree of homogeneity (MTX subgroup: p = 0.88, I2 = 0%, MTX + LEF subgroup: p = 0.43, I2 = 1%, MTX + HCQ subgroup: p = 0.63, I2 = 0%, MTX + TGs subgroup: p = 0.86, I2 = 0%). It was decided to employ the fixed-effect model. Figure 9 demonstrated a statistically significant in the MTX + LEF subgroup (RR 0.83, 95% CI 0.71–0.98, p = 0.03) and no significant difference in the other three subgroups (MTX subgroup, RR 1.10, 95% CI 0.90–1.35, p = 0.34), MTX + HCQ subgroup, RR 0.64, 95% CI 0.29–1.42, p = 0.27), MTX + TGs subgroup, RR 0.75, 95% CI 0.28–2.02, p = 0.57). In these RCTs, the AEs of IGU + MTX group was found to be as comparable as that of MTX monotherapy, MTX + HCQ, and MTX + TGs, however, it was lower than that of MTX + LEF.

3.6 Other Subgroup Analysis

We performed subgroup analyses of primary endpoints and safety based on the course of therapy, stage of disease, and age of RA patients. We also investigated adverse event data based on common side effects of IGU, such as leukopenia and elevated LFTs. According to the results shown in Table 3, we concluded that when the intervention (IGU alone or IGU + MTX) lasted for 52 weeks, it demonstrated superior efficacy in improving the ACR20 of patients without prominent adverse events. Notably, IGU or IGU + MTX had apparent advantages in improving the ACR20 of first-visit RA. IGU + MTX had apparent benefits in improving DAS28-ESR of refractory RA. Regarding adverse events, IGU or IGU + MTX did not raise leukopenia risk while decreasing LFTs' risk. It was equally as safe for young/middle-aged and elderly populations as the control group. The same is true for refractory and first-visit RA.
TABLE 3

Other subgroup analysis.

OutcomesTypes of InventionSubgroupHeterogeneityOverall EffectStatistical methodStudies(N)Participants (N)Figures
I2 (%) p MD95%CI p Significance
DAS28-ESR-courseIGU12w00.90-0.14[-0.25, -0.02]0.02Yes2113
24w00.66-0.36[-0.65, -0.07]0.01Yes2120
Summary00.54-0.36[-0.65, -0.07]0.002YesFixed3233S13
IGU + MTX12w700.04-1.04[-1.63, -0.44]0.0007Yes3175
24w91<0.00001-1.31[-1.84, -0.79]<0.00001Yes6703
52w0-0.89[-1.21, -0.57]<0.00001Yes183
Summary87<0.00001-1.18[-1.48, -0.89]<0.00001YesRandom10961S14
ACR20-courseIGU52w01.18[1.06, 1.30]0.002Yes1590S15
IGU + MTX12w00.401.48[1.16, 1.91]0.002Yes3240
24w480.111.23[1.01, 1.49]0.04Yes5362
52w01.17[1.06, 1.30]0.003Yes1598
Summary300.171.23[1.10, 1.38]0.0003YesRandom81200S16
ACR50-courseIGU + MTX12w00.861.91[1.38, 2.64]<0.0001Yes3240
24w00.882.06[1.60, 2.64]<0.00001Yes5552
Summary00.982.01[1.64, 2.45]<0.00001YesFixed7792S17
ACR70-courseIGU + MTX12w00.922.06[1.30, 3.24]0.002Yes2140
24w00.752.07[1.28, 3.33]0.003Yes6452
Summary00.942.06[1.48, 2.88]<0.0001YesRandom6592S18
AEs-courseIGU24w00.530.68[0.44, 1.05]0.08No2140
52w01.26[0.77,2.06]0.35No1590
Summary480.150.96[0.71, 1.31]0.80NoFixed3730S19
IGU + MTX12w150.320.72[0.42,1.24]0.23No4290
24w00.580.95[0.76, 1.19]0.66No121041
52w200.280.84[0.71, 1.01]0.06No31041
Summary00.470.87[0.76, 1.00]0.06NoFixed192228S20
DAS28-ESR-stageIGURefractory0-1.66[-2.49, -0.83]<0.0001YesFixed160S21
IGU + MTXRefractory300.22-2.42[-2.79, -2.06]<0.00001Yes4401
First-visit0-0.90[-1.38, -0.42]0.0002Yes160
Summary85<0.00001-2.12[-2.81, -1.44]<0.00001YesRandom5461S22
ACR20-stageIGUFirst-visit01.18[1.06, 1.30]0.002YesFixed1590S21
IGU + MTXFirst-visit00.471.16[1.06, 1.27]0.002YesFixed2658S22
ACR50-stageIGU + MTXFirst-visit02.1[1.20, 3.67]0.009YesFixed160S22
ACR70-stageIGU + MTXFirst-visit01.6[0.59, 4.33]0.36NoFixed160S22
AEs-stageIGUFirst-visit01.26[0.77,2.06]0.35NoFixed1590S21
IGU + MTXRefractory00.861.11[0.60, 2.05]0.74No5312
First-visit00.71.1[0.78, 1.56]0.58No3775
Summary00.961.1[0.82, 1.49]0.51NoFixed81087S22
DAS28-ESR-ageIGUYoung/middle aged0-0.44[-0.79,-0.09]0.01Yes161
Elderly0-0.14[-0.26,-0.02]0.02Yes160
Summary600.11-0.24[-0.52, 0.04]0.09NoRandom2121S23
IGU + MTXYoung/middle aged730.05-2.18[-3.06,-1.31]<0.00001Yes2164
Elderly0-1.35[-1.47,-1.23]<0.00001Yes160
Summary86<0.00001-1.84[-2.47, -1.21]<0.00001NoRandom3224S25
ACR20-ageIGUYoung/middle aged00.321.05[0.79, 1.53]0.57No180
Elderly01.1[0.79, 1.53]0.57No160
Summary00.671.08[0.82, 1.42]0.24NoRandom2140S23
IGU + MTXYoung/middle aged00.931.52[1.15, 2.00]0.003YesFixed3241S25
ACR50-ageIGUYoung/middle aged00.570.93[0.50, 1.72]0.84No180
Elderly01.08[0.62, 1.89]0.81No160
Summary00.851.00[0.66, 1.52]1.00NoFixed2140S23
IGU + MTXYoung/middle aged230.271.51[1.07, 2.12]0.02YesFixed3241S25
ACR70-ageIGUYoung/middle aged01.00[0.35,2.84]0.74No180
Elderly00.83[0.28,2.44]1.00No160
Summary00.970.92[0.43,1.94]0.82NoFixed2140S24
IGU + MTXYoung/middle aged01.83[0.75, 4.48]0.18NoFixed180S25
AEs-ageIGUYoung/middle aged00.75[0.75,1.24]0.27No180
Elderly00.55[0.23,1.28]0.17No160
Summary00.760.68[0.43, 1.03]0.07NoFixed2140S24
IGU + MTXYoung/middle aged00.640.95[0.71,1.28]0.78NoFixed10887S25
AEsIGU + MTXleukopenia00.730.63[0.37, 1.07]0.09NoFixed101038S26
LFTs00.610.56[0.40, 0.77]0.0004YesFixed151365S26
Other subgroup analysis.

3.7 Sensitive Analysis

We changed the effect model to evaluate the sensitivity of this meta-analysis and observed the changes in RR (OR) and MD (SMD) after changing the effect model. The results showed that the MD of morning stiffness, SJC-28, ESR, and CRP in the IGU VS. MTX group and the MD of TJC-28, SJC-28, morning stiffness, VAS, EGA, HAQ, RF, anti-CCP, ESR, and CRP in the IGU + MTX VS. MTX group changed significantly, and the results may have some risks. RR (OR) and MD (SMD) of other indicators did not change much, which could be considered robust results. The comparison results are shown in Table 4.
TABLE 4

Sensitive analysis of all the outcomes and DAS28-ESR of IGU + MTX.

All the Outcomes
OutcomesIGU monotherapyIGU + MTX
Fixed-effect modelRandom-effect modeFixed-effect modelRandom-effect mode
ACR201.15 [1.05, 1.27]1.16 [1.06, 1.28]1.20 [1.12, 1.29]1.18 [1.08, 1.29]
ACR500.97 [0.66, 1.44]0.98 [0.67, 1.45]1.85 [1.54, 2.22]1.80 [1.51, 2.16]
ACR700.92 [0.45, 1.90]0.92 [0.45, 1.90]1.83 [1.38, 2.44]1.78 [1.35, 2.36]
DAS28-ESR-0.15 [-0.27, -0.03]-0.16 [-0.31, -0.00]-0.80 [-0.83, -0.77]-0.76 [-1.08, -0.44]
TJC-28-2.15 [-2.45, -1.86]-2.17 [-2.92, -1.42]-0.99 [-1.07, -0.91]-1.55 [-2.26, -0.84]
SJC-28-1.22 [-1.40, -1.04]-0.37 [-1.94, 1.20]-0.01 [-0.11, 0.08]-0.09 [-0.36, 0.18]
Morning stiffness-0.31 [-0.35, -0.28]-3.02 [-8.45, 2.40]-0.63 [-0.66, -0.60]-2.49 [-3.09, -1.88]
VAS-5.61 [-7.12, -4.11]-5.61 [-7.12, -4.11]-0.61 [-0.68, -0.55]-1.12 [-1.51, -0.74]
PGA-2.73 [-3.52, -1.94]-2.73 [-3.52, -1.95]-12.77 [-13.40, -12.13]-12.77 [-13.40, -12.13]
EGA-3.27 [-3.95, -2.59]-3.27 [-3.95, -2.59]-3.34 [-3.99, -2.69]-5.08 [-9.33, -0.82]
HAQ-0.00 [-0.01, 0.01]-0.00 [-0.01, 0.01]-0.16 [-0.27, -0.06]-0.13 [-0.41, 0.14]
RF-3.03 [-7.69, 1.63]-3.03 [-7.69, 1.63]-31.47 [-32.90, -30.04]-34.97 [-47.83, -22.11]
Anti-CCP-13.00 [-18.40, -7.60]-13.00 [-18.40, -7.60]-11.38 [-12.07, -10.68]-11.57 [-15.69, -7.45]
ESR-6.34 [-6.89, -5.79]-4.77 [-7.71, -1.83]-11.29 [-11.98, -10.59]-10.98 [-15.01, -6.96]
CRP-5.26 [-5.72, -4.79]-5.91 [-9.45, -2.37]-7.01 [-7.41, -6.60]-7.75 [-10.41, -5.08]
AEs0.96 [0.71, 1.31]0.87 [0.55, 1.36]0.93 [0.82, 1.06]0.89 [0.79, 1.00]
Sensitive analysis of all the outcomes and DAS28-ESR of IGU + MTX. The IGU + MTX DAS28-ESR analysis had a higher heterogeneity. We did a sensitivity analysis to determine which study was driving this heterogeneity. However, we observed that regardless of which study was removed, there was still a high degree of heterogeneity. The results are shown in Table 4.

3.8 Publication Bias Analysis

Egger’s and Harbord’s texts shown in Table 5. 1) IGU alone: ACR20: there may be a publication bias (p = 0.097); ACR50: the possibility of publication bias was small (p = 0.752); ACR70: the possibility of publication bias was small (p = 0.876); DAS28-ESR: the possibility of publication bias was small (p = 0.684); adverse events: there may be a publication bias (p = 0.046). 2) IGU + MTX: ACR20: the possibility of publication bias was small (p = 0.419); ACR50: the possibility of publication bias was small (p = 0.990); ACR70: there may be a publication bias (p = 0.032); DAS28-ESR: the possibility of publication bias was small (p = 0.168); adverse events: the possibility of publication bias was small (p = 0.196).
TABLE 5

Publication bias texts.

Egger’s Tests (P)Harbord’s Texts (P)
DAS28-ESRACR20ACR50ACR70AEs
IGU monotherapy0.6840.0970.7520.8760.046
IGU + MTX0.1680.4190.9900.0320.196
Publication bias texts.

3.9 Evidence Quality Assessment

We evaluated the quality of evidence for the primary outcomes using GRADEprofile. The results are as follows: 1) IGU alone: The quality of ACR20, ACR50, and ACR70 was moderate; the quality of AEs and DAS28-ESR was low. 2) IGU + MTX: The quality of ACR20 was high. The quality of ACR50and AEs were moderate; the quality of ACR70 and DAS28-ESR was low (Figure 10).
FIGURE 10

The quality assessment of ACR20, ACR50, ACR70, DAS28-ESR, and AEs.

The quality assessment of ACR20, ACR50, ACR70, DAS28-ESR, and AEs.

4 Discussion

4.1 Primary Outcomes Summary

This systematic review and meta-analysis included 38 RCTs involving 4302 participants. The primary outcomes were as follows: 1) IGU vs. MTX: IGU only was more effective in improving the ACR20 and DAS28-ESR. The symptom assessment indicators (TJC-28, VAS, PGA, EGA) were lower, but the indicators (SJC-28, HAQ) were not statistically significant across groups. The inflammatory immune assessment indicators (ESR, CRP, anti-CCP) were lower. However, the markers (RF) were not substantially different. In addition, the AEs between the IGU and MTX groups showed no significant variations. 2) IGU + MTX vs. MTX: The IGU + MTX group improved the ACR20, ACR50, and ACR70 rate and DAS28-ESR score more effectively. The symptom assessment indicators (Morning stiffness time, TJC-28, SJC-28, VAS, PGA, EGA, HAQ) and the inflammatory immune assessment indicators (ESR, CRP, RF, anti-CCP) were lower. The AEs among groups were no significant variations. 3) IGU + MTX vs. MTX + LEF: There was no significant difference between groups in ACR20, ACR50, ACR70, or DAS28-ESR levels. The symptom assessment indicators (Morning stiffness, SJC-28, TJC-28, and HAQ) were not statistically significant. The inflammatory immune evaluation signs (ESR, CRP, RF, anti-CCP) were not statistically significant. The IGU + MTX group had lower AEs. 4) IGU + MTX vs. MTX + HCQ: The IGU + MTX group had lower symptom-related indicators (TJC and SJC) than the MTX + HCQ group. Indicators of inflammation and immunity (ESR, CRP, and RF) were also lower. Furthermore, there was no discernible change in AEs. 5) IGU + MTX vs. MTX + tripterygium glycosides: DAS28-ESR was not statistically significant among the group. The symptom assessment indicators (Morning stiffness, TJC, and SJC) and the inflammatory immune assessment indicators (ESR, CRP, RF) were lower, but the anti-CCP showed no discernible change. The AEs among groups were no significant variations. 6) Subgroup analysis results: When the intervention lasts for 52 weeks, IGU alone or IGU + MTX had greater ACR20 of patients without prominent adverse events. IGU or IGU + MTX was more effective in improving the ACR20 of first-visit RA. IGU + MTX was more effective in improving DAS28-ESR of refractory RA. Regarding adverse events, IGU or IGU + MTX did not raise the risk of leukopenia while decreasing the risk of LFTs. It was equally as safe for young/middle-aged and elderly populations as the control group. The same is true for refractory and first-visit RA. 7) Sensitivity analysis showed that the primary outcome indicators were consistent with the actual analysis results, suggesting that IGU alone or IGU + MTX could effectively improve the clinical efficacy of RA and was superior to the control group. 8) Publication bias for the primary endpoint showed the possibility of publication bias for ACR50, ACR70, and DAS28-ESR in the IGU group, and ACR20, ACR50, DAS28-ESR, and AEs in the IGU + MTX group was small. There may be a publication bias for ACR20, AEs in the IGU group, and ACR70 in the IGU + MTX group.

4.2 Evidence of Applicability

Rheumatoid arthritis is an autoimmune disease characterized by chronic erosive arthritis. It alternates between progressive and stable phases. The pathogenesis is complex, treatment difficult, and the cure rate low (Mu et al., 2021). Current treatment goals are mainly to control symptoms, delay disease progression, and improve quality of life (Hunter et al., 2017). MTX is the first-line clinical drug recommended by the EULAR and has been proven to have an excellent anti-inflammatory effect. Its primary mechanism of action targets and affects the TNF-α pathway in inflammatory disease (Lu et al., 2009; Mimori et al., 2019). However, in some cases, MTX or If the patient does not improve after 3 months or the treatment target is not met after 6 months, another DMARD, such as MTX + LEF, MTX + HCQ, MTX + adalimumab, or MTX + tripterygium glycosides, should be used. However, long-time use of them was often associated with various problems, which limited their clinical application to some extent.32,33 (Jiang et al., 2020; Xie et al., 2020). IGU is a new small molecule drug with effectiveness as well as safety. It possesses anti-inflammatory, immune-regulatory, and bone-protective properties (Jiang et al., 2020; Xie et al., 2020). A twice-daily therapeutic dosage of 25 mg has been demonstrated to be efficacious and well-tolerated, and it has nothing to do with food (Xiao et al., 2018). Previous studies have shown that IGU can reduce prostaglandin production in inflammatory tissues by COX-2 inhibition; Inhibit the bradykinin release from inflammatory tissues; Inhibit Il-1 β and IL-6 release from monocytes: inhibition of antigen-specific T-cell proliferation; Reduce IgG and IgM levels produced by B cells in RA patients; Stimulate osteoblast differentiation and bone construction; Inhibit costimulatory factor and cytokine production, expression in synovial cells (Garcia, 2019; Jiang et al., 2020; Xie et al., 2020). Wang X et al. found that the combination of IGU and MTX significantly inhibited the high expression of RANKL mRNA (compared with MTX alone, p < 0.01; compared with IGU, p < 0.05) (Wang et al., 2017). Clinical studies have shown that IGU could coordinate with MTX to reduce inflammation in RA patients, promote bone formation, and antagonize bone absorption (Yan et al., 2018).

4.3 Sources of Heterogeneity

Sources of heterogeneity in this study: 1) Only 22 RCTs referred to the specific stochastic method, and 16 RCTs did not describe the random sequence generation. The allocation concealment was mentioned in only one RCT. A double-blind technique was used in two RCTs. Allocation concealment and blinding were not mentioned in the other RCTs. The results of two RCTs are missing. There was selective reporting in three RCTs.These are sources of publication bias. 2) The sensitivity analysis revealed that the MD of morning stiffness, SJC-28, ESR, and CRP in the IGU VS. MTX group and the MD of TJC-28, SJC-28, morning stiffness, VAS, EGA, HAQ, RF, Anti-CCP, ESR, and CRP in the IGU + MTX VS. MTX group had changed significantly. There may be certain risks. 3) Samples were dropped in four studies, which may introduce some bias. 4) While DAS28-ESR heterogeneity was substantial in the IGU + MTX group, we performed a series of subgroup and sensitivity analyses. However, it remained very varied, which might be attributed to varying follow-up intervals, illness progression, or other factors. 5) The symptom assessment indicators (morning stiffness time, TJC, SJC, VAS, PGA, EGA, HAQ) were subjective, and implementation bias and measurement bias may occur in evaluating results. 6) There were few RCTs with extractable data in subgroups such as MTX + LEF, MTX + TGs, and MTX + HCQ, and the conclusions were unstable. More relevant RCTs are needed to modify or verify the results.

4.4 Safety of IGU or IGU + MTX

Safety analysis showed no significant difference in the incidence of AEs between the groups of IGU + MTX vs. MTX alone, IGU + MTX vs. MTX + TGs, and IGU vs. MTX. However, the incidence of AEs in the IGU + MTX group was lower than in the MTX + LEF group. IGU + MTX does not increase the risk of leukopenia, but it can decrease the risk of LFTs. Recently, a multicenter, randomized, double-blind, parallel controlled trial of rheumatoid arthritis showed no significant difference in the incidence of adverse events after 52 weeks of treatment with IGU alone or in combination with MTX compared to MTX (Du et al., 2021). Another study showed that IGU combined with MTX is safer than LEF combined with MTX (Tian et al., 2020). These studies showed that IGU was safe for long-term use compared to other DMARDs. A 52-week, multicenter, prospective, observational, phase IV IGU clinical trial in Japan found that the incidence of AEs peaked after approximately 4 weeks of treatment. Subsequently, the incidence of various AEs did not increase over time (Mimori et al., 2019). Long-term use of IGU was safe, with relatively few adverse reactions problems (vomiting, abdominal pain, diarrhea, loss of appetite, etc.) and liver malfunction (elevated transaminases) were the most common side effects, followed by leukopenia, skin rash, and itching (Tian et al., 2020). Furthermore, a multicenter, prospective, real-world phase IV clinical study from China reflected the better safety profile of IGU. It showed that IGU as a combination did not increase the risk of liver damage. In contrast, the combination of IGU and LEF increased the risk of leukopenia and IGU-related kidney disease by < 1%. While phase IV study in Japanese, less than 5.1% (136/2666) could be related to differences in patient age and disease course (Mimori et al., 2019). In addition, the study found no significant increase in AEs in elderly patients with active RA compared to adults under 65 years of age (Mu et al., 2021). The treatment of RA with interstitial lung disease (ILD) was a clinical contradiction because MTX, LEF, and bDMARD were all associated with RA-ILD (Li et al., 2013; Ishikawa and Ishikawa, 2019; Mimori et al., 2019). However, retrospective observational studies have shown that IGU combined with LEF, HCQ, sulfadiazine, and other DMARDs was safe in treating chronic interstitial pneumonia complicated with RA (Mimori et al., 2017). More studies are needed to explore the correlation between RA and ILD adverse reactions. Other adverse effects of IGU include oral ulcers, dizziness, and headache (Mo and Ma, 2015; Shi et al., 2015; Jing et al., 2020). We still need more sample size and more time to verify the safety of the IGU.

4.5 Strengths and Limitations of this Study

This study is the latest systematic review and meta-analysis of the efficacy and safety of IGU monotherapy or combined with MTX, providing an evidence-primarily based foundation and new directions for clinical management, as well as new research directions for future RCTs. We conducted subgroup analyses of IGU monotherapy or IGU + MTX based on intervention in the control group, treatment duration, illness stage, and patient age, as well as an investigation of adverse event data based on common IGU side effects. We conducted evidence quality assessment, sensitivity analysis, and publication bias analysis to verify the reliability and recommendation of the outcomes. The limitations of this study are the high or insignificant risks of random sequence generation, blinding, allocation concealment, incomplete data, and selective reporting for most RCTs. These directly affect the accuracy of the results and the level of evidence. The heterogeneity of some outcome indicators is high, which may be due to different patient baseline data, drug doses, and background treatments in different studies. In addition, randomized controlled trials of some subgroup analyses were rare. It is necessary to develop more RCTs from different regions and ethnic groups with straightforward random sequence generation methods, allocation concealment, and blinding, based on the patients' age, disease stage, and course, to modify or validate the results. Furthermore, current IGU RCTs mainly focus on China and Japan, and evidence may be lacking in other countries, making the evidence extrapolable primarily to Asia.

4.6 Reflections on Future Research

In future clinical practice, it is necessary to conduct more RCTs of IGU coupled with additional csDMARDs to broaden the therapeutic possibilities. IGU combined with csDMARD demonstrated a curative effect. When used with IGU, Wu et al. discovered that leflunomide reduced DAS28, joint symptom-related indicators, and inflammatory immunological indicators (Wu et al., 2021). IGU can also be used with biologic disease-modifying anti-rheumatic medications (bDMARDs) to treat individuals who do not react well to biological medicines (Yoshikawa et al., 2018). Combining etanercept with IGU, for example, may increase ACR20, ACR50, and ACR70 while lowering common symptom-related and inflammatory immunological indicators in people who have low etanercept effectiveness (Sun et al., 2016). In addition, the combination of IGU dramatically decreased disease activity in individuals with a poor response to tocilizumab (DAS28, CDAI, and EULAR response criteria) (Ebina et al., 2019).

5 Conclusion

1) When compared to the MTX alone subgroup, IGU alone offers clear advantages in improving ACR20 and DAS28-ESR, despite the low quality of evidence for DAS28-ESR findings. Compared to standard therapies, IGU + MTX shows clear benefits in improving ACR20, ACR50, ACR70, and DAS28-ESR scores. However, the quality of evidence for ACR70 and DAS28-ESR findings is much lower than that of ACR20. 2) Regarding adverse reactions, IGU or IGU + MTX does not increase the incidence of AEs. IGU + MTX is safer than MTX + LEF. In the future, IGU or IGU + MTX may be utilized as an alternate therapy for some RA patients with poor effectiveness or tolerance to MTX, tripterygium, or leflunomide. 3) In terms of subgroup analysis, when the intervention (IGU alone or IGU + MTX) lasts for 52 weeks, it demonstrated superior efficacy in improving the ACR20 of patients without obvious adverse events. In addition, IGU or IGU + MTX has obvious advantages in improving the ACR20 of first-visit RA. IGU + MTX has obvious advantages in improving DAS28-ESR of refractory RA. For adverse events analysis, IGU + MTX does not increase the risk of leukopenia but can decrease LFTs' risk. IGU or IGU + MTX is just as safe as the control group for young/middle-aged, elderly populations. This is the same case for refractory and first-visit RA.
  31 in total

Review 1.  Novel treatment strategies in rheumatoid arthritis.

Authors:  Gerd R Burmester; Janet E Pope
Journal:  Lancet       Date:  2017-06-10       Impact factor: 79.321

2.  Safety and effectiveness of 24-week treatment with iguratimod, a new oral disease-modifying antirheumatic drug, for patients with rheumatoid arthritis: interim analysis of a post-marketing surveillance study of 2679 patients in Japan.

Authors:  Tsuneyo Mimori; Masayoshi Harigai; Tatsuya Atsumi; Takao Fujii; Masataka Kuwana; Hiroaki Matsuno; Shigeki Momohara; Syuji Takei; Naoto Tamura; Yoshinari Takasaki; Satoshi Ikeuchi; Satoru Kushimoto; Takao Koike
Journal:  Mod Rheumatol       Date:  2016-12-21       Impact factor: 3.023

3.  Concomitant iguratimod therapy in patients with active rheumatoid arthritis despite stable doses of methotrexate: a randomized, double-blind, placebo-controlled trial.

Authors:  Naoki Ishiguro; Kazuhiko Yamamoto; Kou Katayama; Masakazu Kondo; Takayuki Sumida; Tsuneyo Mimori; Satoshi Soen; Kota Nagai; Tomonobu Yamaguchi; Masako Hara
Journal:  Mod Rheumatol       Date:  2012-07-26       Impact factor: 3.023

4.  Safety and effectiveness of iguratimod in patients with rheumatoid arthritis: Final report of a 52-week, multicenter postmarketing surveillance study.

Authors:  Tsuneyo Mimori; Masayoshi Harigai; Tatsuya Atsumi; Takao Fujii; Masataka Kuwana; Hiroaki Matsuno; Shigeki Momohara; Syuji Takei; Naoto Tamura; Yoshinari Takasaki; Kazuhiko Yamamoto; Satoshi Ikeuchi; Satoru Kushimoto; Takao Koike
Journal:  Mod Rheumatol       Date:  2018-04-27       Impact factor: 3.023

5.  [2018 Chinese guideline for the diagnosis and treatment of rheumatoid arthritis].

Authors: 
Journal:  Zhonghua Nei Ke Za Zhi       Date:  2018-04-01

6.  Iguratimod in combination with methotrexate in active rheumatoid arthritis : Therapeutic effects.

Authors:  Z Xia; J Lyu; N Hou; L Song; X Li; H Liu
Journal:  Z Rheumatol       Date:  2016-10       Impact factor: 1.372

Review 7.  EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2016 update.

Authors:  Josef S Smolen; Robert Landewé; Johannes Bijlsma; Gerd Burmester; Katerina Chatzidionysiou; Maxime Dougados; Jackie Nam; Sofia Ramiro; Marieke Voshaar; Ronald van Vollenhoven; Daniel Aletaha; Martin Aringer; Maarten Boers; Chris D Buckley; Frank Buttgereit; Vivian Bykerk; Mario Cardiel; Bernard Combe; Maurizio Cutolo; Yvonne van Eijk-Hustings; Paul Emery; Axel Finckh; Cem Gabay; Juan Gomez-Reino; Laure Gossec; Jacques-Eric Gottenberg; Johanna M W Hazes; Tom Huizinga; Meghna Jani; Dmitry Karateev; Marios Kouloumas; Tore Kvien; Zhanguo Li; Xavier Mariette; Iain McInnes; Eduardo Mysler; Peter Nash; Karel Pavelka; Gyula Poór; Christophe Richez; Piet van Riel; Andrea Rubbert-Roth; Kenneth Saag; Jose da Silva; Tanja Stamm; Tsutomu Takeuchi; René Westhovens; Maarten de Wit; Désirée van der Heijde
Journal:  Ann Rheum Dis       Date:  2017-03-06       Impact factor: 19.103

Review 8.  Rheumatoid Arthritis in the View of Osteoimmunology.

Authors:  Mélanie Auréal; Irma Machuca-Gayet; Fabienne Coury
Journal:  Biomolecules       Date:  2020-12-31

9.  Effectiveness and safety of iguratimod treatment in patients with active rheumatoid arthritis in Chinese: A nationwide, prospective real-world study.

Authors:  Rong Mu; Chun Li; Xiaomei Li; Yao Ke; Ling Zhao; Lin Chen; Rui Wu; Zhenbiao Wu; Xiaoxia Zuo; Yanli Xie; Jinwei Chen; Wei Wei; Yi Liu; Zhijun Li; Lie Dai; Lingyun Sun; Xiangyuan Liu; Zhanguo Li
Journal:  Lancet Reg Health West Pac       Date:  2021-03-22
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