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SYSTEMATIC REVIEW article

Front. Med., 29 August 2025

Sec. Infectious Diseases: Pathogenesis and Therapy

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1591366

Meta-analysis of the efficacy of rituximab in the management of cryoglobulinemic vasculitis

Ling ZhouLing ZhouJianxia DongJianxia DongZehui DengZehui DengShaojuan WangShaojuan WangMengjie FuMengjie FuJingjing PengJingjing PengJian Zhang
Jian Zhang*
  • Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China

Introduction: A primary goal of this study was to systematically assess the efficacy of rituximab (RTX) in treating cryoglobulinemic vasculitis (CV).

Methods: A prospectively registered meta-analysis was conducted to examine eligible randomized controlled trials (RCTs) or cohort studies through searches across PubMed, Embase, Cochrane Library, and Web of Science, with a search period up to February 12, 2025. Data analysis was conducted utilizing STATA 16.0.

Results: Incorporating data from 12 studies involving 287 patients, CV patients who received RTX therapy demonstrated notable complete clinical response outcomes (Rate = 0.67, 95% confidence interval (95%CI): 0.61, 0.73) and a good clinical response rate. In addition, patients showed significant relief in symptoms such as skin purpura and skin ulcer (Rate = 0.92, 95%CI: 0.86,0.98). The meta-analysis findings indicated a notable enhancement in serum C4 levels in CV patients following treatment (mean difference (MD) = 0.06, 95%CI: 0.04, 0.07), both at 6-month (MD = 0.07, 95%CI: 0.05, 0.09) and 12-month (MD = 0.07, 95%CI: 0.03, 0.11) follow-ups. These findings suggest a gradual improvement in the underlying condition. The levels of IgM were significantly reduced following treatment (MD = −0.48, 95%CI: −0.65, −0.31), both at 6-month (MD = −1.05, 95%CI: −1.57, −0.52) and 12-month (MD = −0.59, 95%CI:−0.80, −0.38) follow-ups. The levels of cryoglobulin were also decreased following treatment (MD = −0.53, 95%CI: −0.80, −0.26), both at 6-month (MD = −0.67, 95%CI: −0.99, −0.35) and 12-month (MD = −0.67, 95%CI: −1.15, −0.19) follow-ups. Similarly, rheumatoid factor (RF) levels significantly decreased after treatment (MD = −318.20,95%CI:−364.66,−271.73) and remained low at the 6-month follow-up (MD = −287.78, 95%CI:−511.58,−63.97).

Discussion: The meta-analysis supports the favorable clinical efficacy of rituximab in the management of CV patients. However, further validation through additional high-quality RCTs is warranted to solidify its effectiveness.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024565790.

Introduction

Cryoglobulinemic vasculitis (CV) is a systemic condition characterized by inflammation of small blood vessels, driven by the clonal expansion of B-cell clones that produce pathogenic immune complexes known as cryoglobulins. Frequently, it arises as a secondary complication of hepatitis C virus (HCV) infection, autoimmune disorders, and hematological malignancies (1). Cryoglobulinemia is primarily classified into type I and type II/III. Type II and III cryoglobulinemia are typically categorized as mixed cryoglobulinemia (MC), frequently linked to chronic viral infections (HCV, HBV and others) or autoimmune diseases. Furthermore, they are also associated with lymphoproliferative diseases or they are defined as essential, as no underlying cause is found EMC (essential mixed cryoglobulinemia, EMC) (2). Studies have estimated that the incidence of type I cryoglobulinemia in patients with clinical manifestations is about 1/100000, and it is more common in individuals aged 45–65 (3). Among patients with HCV-related mixed cryoglobulinemia, 20–30% present with significant organ damage, and 2–5% develop rapidly progressive and life-threatening vasculitis (4). The recurrence rate remains relatively high. Results indicated that 14 out of 36 patients (39%) experienced a relapse of CV within days to 19 months (with an average of 6.7 months) after their last rituximab infusion. Among these, 13 patients were infected with HCV, and 1 patient was not HCV-infected (5). The pathogenesis of CV is currently not clear. Due to the varied clinical manifestations, high recurrence rates, and therapeutic resistance, the management of CV remains a significant challenge.

At present, traditional treatment methods for CV mainly include glucocorticoids, antiviral therapy, immunosuppressants, and plasma exchange (6). However, these methods frequently prove inadequate for clinical use due to their suboptimal efficacy, considerable adverse effects, or requirement for frequent administration. Rituximab (RTX) is a genetically engineered chimeric anti-CD20 monoclonal antibody and has high efficacy in clearing B cells in vivo (7). Multiple clinical studies have shown that (812) RTX has significant efficacy in treating CV, with a high clinical remission rate. Furthermore, RTX also demonstrates significant clinical value as a first-line treatment for HCV-associated CV with severe organ involvement, such as nephropathy and peripheral neuropathy (13). The Kidney Disease: Improving Global Outcomes (KDIGO) guidelines recommend RTX in combination with antiviral therapy for HCV-associated cryoglobulinemic glomerulonephritis (14). RTX is also used to manage symptoms related to cryoglobulinemia, such as progressive nephropathy (15). Related research has further validated that RTX treatment is contributes to the recovery of renal function (16).

Existing studies have demonstrated the efficacy of RTX in the treatment of CV. However, due to the lack of comprehensive analysis among these studies, there is no consensus. Consequently, a meta-analysis is required to rigorously assess the real-world performance of RTX in CV. This analysis is intended to strengthen the evidence base for the clinical use of RTX in managing CV.

Methods

The meta-analysis adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (17). The research protocol was recorded in the International Prospective Register of Systematic Reviews (PROSPERO, CRD42024565790).

Search strategy

A search of the English literature within each database (PubMed, Embase, Cochrane Library, and Web of Science) was conducted from its inception until February 12, 2025. During this process, a combination of subject headings and textwords was applied. The medical subject headings included: Rituximab, Vasculitis, Cryoglobulinemic, Cryoglobulinemia. The detailed search procedure is outlined in Supplementary Tables S1S4.

Inclusion and exclusion criteria

To draw reliable conclusions regarding the effectiveness of RTX in managing CV, high-quality research literature meeting the inclusion and exclusion criteria was systematically sought. The inclusion criteria adhered to the Population, Intervention, Comparison, Outcomes and Study (PICOS) guidelines (18). Studies that met the following criteria were incorporated into this meta-analysis:

Participant

Individuals diagnosed with CV.

Intervention

Patients treated with RTX.

Outcome

Rate of complete clinical response and alleviation of symptoms (skin purpura and skin ulcers) post-treatment; changes in laboratory markers [IgM, C4, cryoglobulin, and rheumatoid factor (RF)] from baseline to 6 months and 12 months post-treatment, and during follow-up.

Study type

RCTs or cohort studies.

Exclusion criteria included: (1) Studies lacking available outcome measures; (2) Animal or cell trials, case studies, scientific experimental plans, comments, letters, editorials, and conference abstracts; (3) Studies without full-text access.

Data extraction

Retrieved articles were imported into EndNote20. Two researchers (Zhou and Deng) independently screened titles and abstracts against the inclusion and exclusion criteria. A subsequent full-text review was then conducted for further assessment. Inconsistencies were addressed through deliberation or seeking advice from a third researcher (Wang). Utilizing Excel 2016, the two researchers autonomously gathered data from the selected studies, including information on the primary author, publication year, region, experimental design, diagnostic criteria, patient type, number of cases, gender, age, and outcome measures.

Quality assessment

Due to the inclusion of both RCTs and cohort studies, the Cochrane Risk of Bias Tool (RoB2.0) (19) was employed to assess the risk of bias across six domains: bias stemming from the randomization process, deviations from intended interventions, missing outcome data, outcome measurement accuracy, selective reporting, and other potential sources of bias. The risks were categorized into three groups: “low risk,” “high risk,” or “some concerns” across the aforementioned six domains. The results of the assessments are presented in risk of bias graphs. The Newcastle–Ottawa Scale (NOS) was utilized to evaluate the quality of the included cohort and case–control studies, assessing both study quality and the risk of bias (20). The assessment encompassed the following items: cohort selection (including representativeness of the exposed cohort, selection of the non-exposed cohort, confirmation of exposure, and exclusion of subjects with the disease of interest at study onset), comparability, and outcome indicators (including method of outcome ascertainment, follow-up period, and integrity of follow-up). The quality of the included studies was assessed using the NOS star rating system, with a maximum score of 9 stars. Studies with a score of 6 or more were deemed to be of moderate quality. Only studies scoring above 6 will be included in the meta-analysis. The evaluation results will be presented utilizing the NOS scoring system. The quality of each article was assessed independently by two investigators. Inconsistencies were addressed through deliberation or seeking advice from a third researcher.

Statistical analysis

Data were analyzed using STATA 16.0. Continuous data were evaluated by computing the standardized mean difference (SMD). Odds ratios (ORs) were adopted to analyze the dichotomous data, and the overall results were represented using 95% confidence intervals (95%CIs). Study heterogeneity was evaluated utilizing Cochran’s Q test and I2 statistic. Given the substantial heterogeneity indicated by an I2 exceeding 50%, a random-effects model was employed in sensitivity analysis to explore potential sources of heterogeneity. When I2 was less than 50%, a fixed effects model was utilized to assess the effect size (21). A series of meta-analyses were performed on eligible literature to assess the effectiveness of RTX in managing CV (alleviation of clinical symptoms and improvement of laboratory indicators). Publication bias was evaluated utilizing funnel plots and Egger’s test. A two-tailed p-value < 0.10 was deemed statistically significant when assessing heterogeneity. All statistical differences with p < 0.05 were considered notable.

Results

Article retrieval and screening

A search process is visually depicted in Figure 1. Of the initial 1,377 articles retrieved, 503 duplicates were removed. Subsequently, 109 records, including conference abstracts, clinical trial registration records, meta-analyses, and reviews, were excluded. After preliminary reviewing of the titles and abstracts, 638 articles were removed. Based on a full-text review and strict application of the inclusion and exclusion criteria, 12 articles were selected for the final analysis (8, 10, 11, 2230).

Figure 1
PRISMA flow diagram for study selection. Records identified: 1,377 from databases. Removed: 503 duplicates. Screened: 874. Excluded: 59 for meta, reviews, etc. Reports: 765 screened, 127 full-text assessed. Exclusions: Non-Rituximab, non-vasculitis, unextractable outcomes. Twelve studies included in review.

Figure 1. Flow diagram of the study identification and selection procedure.

Baseline characteristics of included studies

The 12 studies, conducted in France (n = 11) and the USA (n = 1), included a total of 287 patients. The study design comprised 7 cohort studies (11, 22, 2426, 29, 30) and 5 RCTs (8, 10, 23, 27, 28). Regarding diagnostic criteria, two studies included patients who had not received antiviral drugs, interferon, or immunosuppressants (8, 24). One study included patients who were either non-responsive to or intolerant of interferon-alpha and ribavirin (27). The remaining studies did not specify diagnostic criteria that limited prior patient therapy. The patient populations primarily consisted of CV patients with HCV infection. Among these studies, one recruited CV patients without HCV infection (30). Another study did not specify the MC type (25), while two studies recruited type II MC patients (23, 29). A combination of RTX and other drugs is frequently applied in RCTs (Pegylated interferon α/ribavirin) (8, 10, 27, 28). However, these studies frequently lack a blank control for RTX. Only one study included a blank control for RTX (23). Therefore only data from groups that received RTX were analyzed in the RCTs. RTX treatment efficacy was assessed at varying time points across studies: 1 month (n = 3) (25, 27, 29), 2 months (n = 1) (23), and 3 months (n = 4) (10, 11, 26, 28). Table 1 displays the fundamental characteristics of the articles enrolled in the analysis.

Table 1
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Table 1. Baseline characteristics of enrolled articles.

Methodological quality assessment of articles enrolled

Figure 2 illustrates the risk of bias assessment results for the five included studies. Regarding bias related to randomization, four articles (8, 23, 27, 28) were classified as having some concerns due to the absence of concealment assessment, while the remaining one was classified as having a low risk of bias. All articles related to deviations from intended interventions, missing outcome data, and outcome measurement were categorized as having a low risk of bias. All articles that showed no evidence of selective reporting were deemed to be at low risk. No other sources of bias were identified in RCTs, all of which were deemed to be at low risk. Overall, the included RCTs exhibited a low risk of bias.

Figure 2
Risk of bias table for five studies, showing six bias criteria: Dammacco et al. 2010, Vita et al. 2012, Saadoun et al. 2008, Sneller et al. 2012, Terrier et al. 2009. Colors indicate risk: green for low, yellow for some concerns, red for high. Overall, most studies show varied risk levels across criteria.

Figure 2. Risk of bias assessment.

The seven included cohort studies underwent a quality assessment encompassing three key domains: selection of the cohort, comparability, and outcome measurement. All scores exceeded 6 points, suggesting relatively high quality among the included cohort studies. The assessment outcomes are detailed in Table 2.

Table 2
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Table 2. Methodological quality of prospective case–control research based on the NOS.

Results of meta-analysis

Primary outcome: clinical efficiency

Complete clinical response and alleviation rate of symptoms such as skin purpura and skin ulcers

Nine studies (10, 11, 2226, 28, 30) reported a complete clinical response, demonstrating the notable efficacy of RTX treatment (Rate = 0.67, 95%CI: 0.61, 0.73, p < 0.001). The details are illustrated in Figure 3. Given that the I2 value was 0.0%, no sensitivity analysis was conducted. The funnel plot showed evidence of asymmetry among the included studies, as depicted in Figure 4. The Egger’s test (p = 0.151) indicated the absence of publication bias.

Figure 3
Forest plot displaying meta-analysis results from multiple studies on a specific rate. Each study shows a point estimate with a 95% confidence interval. A diamond represents the overall effect size with a rate of 0.67 (95% CI: 0.61, 0.73), indicating no significant heterogeneity (I² = 0.0%, p = 0.709). Weights range from 6.07% to 17.42%, reflecting each study’s influence on the overall analysis.

Figure 3. Forest plot of complete clinical response after RTX treatment.

Figure 4
Funnel plot showing a symmetric distribution of blue dots around a vertical line indicating effect size (p). Dotted lines represent pseudo ninety-five percent confidence limits. Horizontal axis is labeled p, and vertical axis is labeled standard error of p.

Figure 4. Funnel plot of complete clinical response after RTX treatment.

The alleviation rate of symptoms such as skin purpura and skin ulcers was reported in four studies (8, 25, 26, 29), demonstrating notable alleviation in symptoms (including skin purpura and skin ulcers) following RTX treatment (Rate = 0.92, 95%CI: 0.86, 0.98, p < 0.001). The details are illustrated in Figure 5. Given that the I2 value was 0.0%, no sensitivity analysis was conducted. The Egger’s test (p = 0.140) indicated the absence of publication bias.

Figure 5
Forest plot showing the effect sizes of four studies by Zaja et al. (2003), Saadoun et al. (2008), Roccatello et al. (2016), and Dammacco et al. (2010), with confidence intervals and weights. Overall combined effect size is 0.92 with a confidence interval of 0.86 to 0.98. Weights are from a random-effects model.

Figure 5. Forest plot of the alleviation rate of symptoms (skin purpura and skin ulcers) after RTX treatment.

Secondary outcome: laboratory indicator levels

C4, IgM, cryoglobulin and RF levels

C4 levels were reported in five studies (11, 23, 26, 28, 29), demonstrating notable alterations in C4 levels following RTX treatment (MD = 0.06, 95%CI: 0.04, 0.07, p < 0.001). The details are illustrated in Figure 6. Due to high heterogeneity (I2 = 92.7%), a sensitivity analysis was performed to identify the source of heterogeneity, but no clear source was identified (Supplementary Figure S1). The Egger’s test (p = 0.112) indicated the absence of publication bias. IgM levels were reported in three studies (10, 25, 29), demonstrating notable alterations in IgM levels following RTX treatment (MD = -0.48, 95%CI: −0.65, −0.31, p < 0.001). The details are illustrated in Figure 7. Given that the I2 value was 0.0%, no sensitivity analysis was conducted. The Egger’s test (p = 0.870) indicated the absence of publication bias. Cryoglobulin levels were reported in five studies (10, 11, 2628), demonstrating notable alterations in cryoglobulin levels following RTX treatment (MD = −0.53, 95%CI: −0.80, −0.26, p < 0.001). The details are illustrated in Figure 8. Due to high heterogeneity (I2 = 95.80%), a sensitivity analysis was performed to identify the source of heterogeneity, but no clear source was identified (Supplementary Figure S2). The Egger’s test (p = 0.195) indicated the absence of publication bias. RF levels were reported in three studies (23, 25, 29), demonstrating notable alterations in RF levels following RTX treatment (MD = −318.20, 95%CI: −364.66, −271.73, p < 0.001). The details are illustrated in Figure 9. Due to the limited size of literature, no sensitivity and publication bias assessment was performed.

Figure 6
Forest plot depicting a meta-analysis of five studies by Saadoun et al., Terrier et al., Zaja et al., and Vita et al. Each study’s mean difference (MD) with 95 percent confidence intervals (CI) and corresponding weight is shown. The overall effect size is 0.06 with a confidence interval of 0.04 to 0.07. Weights are sourced from a random-effects model, with heterogeneity indicated by \(I^2 = 92.7\% \), \(p < 0.001 \).

Figure 6. Forest plot of changes in C4 levels (g/L) after RTX treatment.

Figure 7
Forest plot depicting the mean differences (MD) with 95% confidence intervals (CI) from studies by Saadoun et al. (2008), Roccatello et al. (2016), and Zaja et al. (2003). Weights: Saadoun 64.47%, Roccatello 0.62%, Zaja 34.91%. Overall effect: MD -0.48, CI (-0.65, -0.31), weight 100%. Heterogeneity: \(I^2 = 0.0%\), \(p = 0.474\).

Figure 7. Forest plot of changes in IgM levels (g/L) after RTX treatment.

Figure 8
Forest plot showing the mean difference (MD) and 95% confidence intervals (CI) for five studies. Data points are aligned against a baseline of zero, indicating the effect size and weight for each study. The studies display varying effect sizes, with an overall pooled effect at -0.53 and a confidence interval from -0.80 to -0.26. The diamond shape at the bottom represents the overall effect estimate with 95% CI. The heterogeneity measure is I² = 95.8% with a p-value less than 0.001, indicating significant variation among the studies.

Figure 8. Forest plot of changes in cryoglobulin levels (g/L) after RTX treatment.

Figure 9
Forest plot displaying the mean difference (MD) and 95% confidence intervals (CI) for two studies by Roccatello et al. (2016) and Zaja et al. (2003). Roccatello et al. shows an MD of -566.08 with a CI of -2309.49 to 1177.33 and a weight of 0.07. Zaja et al. has an MD of -318.02 with a CI of -364.50 to -271.54 and a weight of 99.93. The overall pooled result shows an MD of -318.20 with a CI of -364.66 to -271.73. Weights are from a random-effects model.

Figure 9. Forest plot of changes in RF levels (IU/ml) after RTX treatment.

Notable alterations in C4 levels were observed following a 6-month follow-up (MD = 0.07, 95%CI: 0.05, 0.09, p < 0.001). Further details can be found in Figure 10. In light of the high heterogeneity (I2 = 93.5%), a sensitivity analysis was performed to identify the source of heterogeneity. However, no clear source was found (Supplementary Figure S3). The Egger’s test (p = 0.642) indicated the absence of publication bias. Notable alterations in IgM levels were observed following a 6-month follow-up (MD = −1.05, 95%CI: −1.57, −0.52, p < 0.001). Further details can be found in Figure 11. Due to substantial heterogeneity (I2 = 83.1%), a sensitivity analysis was performed to identify the source of heterogeneity. Despite this, no definitive source of heterogeneity was identified (Supplementary Figure S4). The Egger’s test (p = 0.786) indicated the absence of publication bias. Notable alterations in cryoglobulin levels were observed following a 6-month follow-up (MD = −0.67, 95%CI: −0.99, −0.35, p < 0.001). Further details can be found in Figure 12. Due to high heterogeneity (I2 = 97.1%), a sensitivity analysis was performed to identify the source of heterogeneity, but no clear source was identified (Supplementary Figure S5). The Egger’s test (p = 0.358) indicated the absence of publication bias. Notable alterations in RF levels were observed following a 6-month follow-up (MD = −287.78, 95%CI: −511.58, −63.97, p = 0.012). Further details can be found in Figure 13. Given the high heterogeneity (I2 = 97.3%), a sensitivity analysis was performed to identify the source of heterogeneity. The analysis failed to identify a clear source of the heterogeneity (Supplementary Figure S6). The Egger’s test (p = 0.653) indicated the absence of publication bias.

Figure 10
Forest plot showing mean differences (MD) and 95% confidence intervals (CI) for studies by Saadoun et al. (2008, 2010), Roccatello et al. (2016), Terrier et al. (2009), Zaja et al. (2003), and Vita et al. (2012). The overall effect is represented by a diamond, with a pooled MD of 0.07 (0.05 to 0.09) and an I-squared value of 93.5%, p < 0.001, indicating significant heterogeneity. Weights from a random-effects model are given as percentages.

Figure 10. Forest plot of changes in C4 levels (g/L) after a 6-month follow-up.

Figure 11
Forest plot showing the mean differences (MD) with 95% confidence intervals (CI) for three studies by Saadoun et al. (2008), Roccatello et al. (2016), and Zaja et al. (2003). The overall pooled estimate is displayed with a diamond shape. Individual study results vary, with weights ranging from 7.10% to 47.59%. The overall effect size is -1.05 with a confidence interval from -1.57 to -0.52, and heterogeneity is indicated by I squared equals 83.1%, p equals 0.003.

Figure 11. Forest plot of changes in IgM levels (g/L) after a 6-month follow-up.

Figure 12
Forest plot showing the mean difference (MD) with 95% confidence intervals for studies by Saadoun et al. (2008, 2010), Terrier et al. (2009), and Sneller et al. (2012). The overall effect is -0.67 with high heterogeneity (I² = 97.1%, p < 0.001). Weights are from a random-effects model.

Figure 12. Forest plot of changes in cryoglobulin levels (g/L) after a 6-month follow-up.

Figure 13
Forest plot displaying the mean differences (MD) and 95% confidence intervals (CI) for three studies on an unspecified topic. Roccatello et al. (2016) show MD of -721.17, Zaja et al. (2003) -395.61, and Vita et al. (2012) -163.83. The overall MD is -287.78. Weights and CI are noted. The plot includes a diamond representing the overall effect size.

Figure 13. Forest plot of changes in RF levels (IU/ml) after a 6-month follow-up.

Notable alterations in C4 levels were observed following a 12-month follow-up (MD = 0.07, 95%CI: 0.03, 0.11, p = 0.001). Further details can be found in Supplementary Figure S7. Due to high heterogeneity (I2 = 93.4%), a sensitivity analysis was performed to identify the source of heterogeneity. However, no specific source could be identified (Supplementary Figure S8). The Egger’s test (p = 0.566) indicated the absence of publication bias. Notable alterations in IgM levels were observed following a 12-month follow-up (MD = −0.59, 95%CI: −0.80, −0.38, p < 0.001). Further details can be found in Supplementary Figure S9. Due to the limited number of literature, no sensitivity and publication bias assessment was performed. Notable alterations in cryoglobulin levels were observed following a 12-month follow-up (MD = −0.67, 95%CI: −1.15, −0.19, p = 0.006). Further details can be found in Figure S10. Due to high heterogeneity (I2 = 98.3%), a sensitivity analysis was performed to identify the source of heterogeneity. Despite this, no definitive source of heterogeneity was identified (Supplementary Figure S11). The Egger’s test (p = 0.534) indicated the absence of publication bias.

Discussion

To our knowledge, this is the first meta-analysis to evaluate the efficacy of RTX therapy for CV, incorporating data from 5 eligible RCTs and 7 cohort studies. The Meta-analysis results indicated that RTX demonstrated favorable clinical efficacy in treating patients with CV, effectively alleviating clinical symptoms and significantly improving laboratory indicators.

Therapeutic effect of RTX

The primary measures for assessing clinical remission in patients with CV encompass improvements in clinical manifestations (such as alleviation of skin symptoms, reduced joint pain, and resolution of peripheral neuropathy) as well as normalization of laboratory indices (including decreased serum cryoglobulin levels, lower IgM levels, recovery of serum complement C4, and restoration of hepatic and renal function) (31). Following RTX treatment for CV, fluctuations in IgM levels can be indirectly reflected by dynamic changes in cryoglobulin levels. Numerous clinical studies indicate that cryoglobulin levels generally start to decrease 4–8 weeks post-RTX treatment, reaching their lowest point between 12 and 24 weeks. In patients with HCV-related mixed cryoglobulinemia, the viral infection may initially obscure a significant decrease in IgM levels (1). In addition, a randomized controlled retrospective study showed that (32) clinical symptoms were significantly relieved in 65–80% of CV patients after the administration of RTX. Laboratory indicators such as cryoglobulin and RF also significantly decreased. Moreover, serum C4 levels returned to normal. In a 2023 systematic review by Covic et al. (33), it was concluded that RTX-based therapy, either as monotherapy or in combination, demonstrated therapeutic benefits for patients with hepatitis C-associated CV, resulting in high rates of complete clinical response.

Heterogeneity in RTX efficacy for patients with or without HCV infection

In CV patients with without concomitant HCV infection, RTX in combination with glucocorticoids is often employed. This regimen demonstrates the most pronounced clinical, renal, and immunological benefits, as well as therapeutic efficacy (30, 34). For CV patients with concomitant HCV infection, antiviral drugs are usually incorporated into the treatment protocol for combined therapy (8, 35, 36). RTX demonstrates favorable therapeutic effects in both patient groups. However, relapse is more frequently observed in HCV-positive patients, typically due to suboptimal virological control (28). Conversely, in CV patients without HCV infection, there is an increased risk of serious infections, often associated with high-dose corticosteroid use (30).

Mechanism of RTX therapy for CV

These findings align with our meta-analysis, which demonstrates the beneficial effects of RTX in treating CV patients, specifically in terms of clinical response rates, symptom alleviation, and improved laboratory parameters. This may be due to the targeted induction of the apoptosis of B cells by RTX, which may reduce the production of autoantibodies. In addition, B cells can produce cytokines, participate in inflammatory responses, and enhance the response of T cells (37). RTX can consume amplified and activated CD20-positive B cells in CV patients. Some studies have suggested that the depletion of B cells may result in the activation of T cells (12). Mathur et al. (38) observed a correlation of RTX therapy with the improvement in HCV-specific T cell function across individuals with HCV-MC vasculitis. Research findings suggest that cell depletion therapy restores T cell function and reverses exhaustion in individuals with HCV-associated CV. This provides new perspectives on the interplay between B cells and T cells in the development of HCV-MC vasculitis (38).

Safety and tolerance of RTX and re-treatment strategies

The RTX has been proven to be effective and safe in the treatment of CV. However, it should be noted that its safety warrants further investigation. Adverse reactions such as chills, arrhythmia, and hypersensitivity reactions may occur during RTX administration, typically during the initial infusion. These symptoms generally resolve with symptomatic treatment (39). Some studies have reported hypotension during RTX infusion. It is suggested to have slow infusion rates and temporary cessation of antihypertensive agents during RTX administration (40). Before the introduction of RTX, liver failure and infection were the leading causes of mortality in CV patients (41). In cases where the severity of the disease is comparable, the 5-year survival for patients receiving RTX treatment is 75%. About 60% of patients remained relapse-free without requiring any treatment within 10 years. Among patients who experience a relapse, the probability of remaining asymptomatic for 5 years following the initiation of similar treatment is 80%, with no observed elevation in the incidence of severe infections or hepatic failure (25).

Although RTX demonstrates favorable clinical efficacy, its therapeutic effects are temporary. Retrospective studies have reported the exacerbation of vasculitis and the occurrence of severe infections in CV patients following RTX treatment. Desbois et al. (42) that among 185 CV patients, 7 patients (3.4%) experienced recurrence, all of which were caused by type II mixed cryoglobulinemia vasculitis. The recurrence occurred at a median time (2–16 days) after the infusion of RTX (43). Among the 64 reported CV patients, 14 (22%) receiving RTX treatment experienced worsening of their condition, with a median time to worsening of approximately 5.5 days following RTX administration. The deterioration often occurred between 2 days and 1 week following treatment. The affected organ systems mainly included the skin, kidneys, and peripheral nerves, and the condition was more likely to occur in patients with underlying B-cell lymphoproliferative disorders.

Following RTX treatment failure, diverse therapeutic approaches were utilized, such as glucocorticoids (GC), alkylating agents, RTX in combination with other therapies, and belimumab. Specifically, the highest clinical response rates were observed with the combinations of anti-CD20 plus belimumab (100%), alkylating agents alone (82%), and anti-CD20 plus alkylating agents (73%) (44). Some studies have also indicated that in essential (EM) and connective tissue disease (CTD)-related mixed CV patients who relapsed after initial RTX treatment, subsequent RTX maintenance therapy reduced the recurrence rate (45). For patients with primary cryoglobulinemia, treatment should include GCs in combination with RTX. A rapid and progressive reduction of GC dosage is crucial to minimize the likelihood of infectious complications (46). For patients experiencing relapse of HCV-related CV, antiviral therapy should be continued or restarted. This should be combined with immunosuppressive agents, such as RTX and cyclophosphamide, to effectively control the patient’s symptoms.

Different doses of RTX in the treatment of CV

Most studies have adopted the standard RTX dosage of 375 mg/m2 administered weekly for four doses, a regimen derived from lymphoma treatment. However, some research has explored alternative dosages, including both higher and lower regimens. Colantuono et al. (39) treated 37 patients with refractory mixed CV using a low-dose RTX regimen (250 mg/m2 weekly for 2 weeks), achieving an 80% response rate and a 68% complete remission rate. The findings demonstrated that repeated administration of a low-dose RTX regimen for relapsed mixed cryoglobulinemia is an effective, safe, and cost-effective strategy for its long-term disease management (39). A separate observational study utilized the same low-dose regimen in 31 patients with refractory mixed CV, resulting in clinical responses in 22 patients, achieving a response rate of 70.96% (22). For the induction of remission, high-dose RTX protocols predominantly utilize a dosage of 375 mg/m2 administered once weekly for four consecutive weeks. This is followed by a maintenance dose of 500 mg every 6–9 months (47). This protocol is primarily indicated for patients presenting with severe clinical manifestations. Future efforts may focus on optimizing RTX dosing regimens, for instance, by comparing high-dose and low-dose strategies in CV patients.

The included studies were of moderate to high quality, indicating the robustness of our analysis findings. Data were pooled from multiple studies to enhance the power to detect the efficacy of RTX. This study aimed to contribute to the body of evidence-based medicine, particularly in situations where individual studies are limited by small sample sizes or fail to demonstrate statistically significant effects. This study also has several limitations. Firstly, the included studies were predominantly from Italy (90%), with only one study from elsewhere. This is likely due to the fact that Italy has several world-renowned hematology research and clinical centers. Italy was an important clinical trial center for early RTX clinical trials involving multi-national European recruitment, and this has provided Italian researchers with a wealth of clinical data and opportunities for publication. Secondly, the limited number (n = 12) and the quality heterogeneity of the included studies may introduce bias into the meta-analysis results. Thirdly, there is a lack of blank controls for RTX in the included studies. Due to the fact that some studies compared the clinical efficacy of RTX monotherapy versus RTX combined with other antiviral agents for CV treatment, while others solely investigated the clinical efficacy of RTX monotherapy. In addition, several studies had incomplete control groups with only baseline data and no follow-up. This lack of data made it difficult to extract endpoint data for blank controls. Therefore, a direct comparison of the effectiveness of RTX in treating CV patients is not feasible without a control group. Fourthly, due to the limitations of the included data, the follow-up durations for the same or different outcome measures varied across studies. Some studies did not provide initial treatment data, while others lacked subsequent follow-up data, such as 6-month or 12-month follow-up data. Consequently, the follow-up durations vary among studies, complicating the extraction of outcome metrics and the performance of comprehensive subgroup analyses. This variability could potentially impact the final outcomes. Lastly, MC involves not only skin-related symptoms but also more severe manifestations affecting the kidneys and peripheral nervous system. However, a paucity of extractable outcome data pertaining to improvements in renal and peripheral neuropathy symptoms led us to analyze only the remission of skin-related symptoms as an outcome measure. This limitation might lead to a lack of comprehensive analysis in our results.

Conclusion

To sum up, RTX has shown promising application prospects in the management of CV. However, more extensive research is essential to explore the long-term efficacy, optimal dosage, and combination strategies with other drugs. Owing to the limited number and quality of existing studies, future research necessitates high-quality, large-scale, double-blind RCTs to validate these findings.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

LZ: Conceptualization, Methodology, Software, Writing – review & editing. JD: Data curation, Writing – original draft. ZD: Investigation, Visualization, Writing – original draft. SW: Software, Validation, Writing – original draft. MF: Writing – review & editing. JP: Writing – review & editing. JZ: Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

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Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2025.1591366/full#supplementary-material

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Keywords: rituximab, cryoglobulinemic vasculitis, vasculitis meta-analysis, clinical efficacy, anti-CD20

Citation: Zhou L, Dong J, Deng Z, Wang S, Fu M, Peng J and Zhang J (2025) Meta-analysis of the efficacy of rituximab in the management of cryoglobulinemic vasculitis. Front. Med. 12:1591366. doi: 10.3389/fmed.2025.1591366

Received: 14 March 2025; Accepted: 14 August 2025;
Published: 29 August 2025.

Edited by:

Marcella Visentini, Sapienza University of Rome, Italy

Reviewed by:

Clodoveo Ferri, University of Modena and Reggio Emilia, Italy
Luca Quartuccio, University of Udine, Italy

Copyright © 2025 Zhou, Dong, Deng, Wang, Fu, Peng and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jian Zhang, OTA0ODgxMjg1QHFxLmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.