Evidence map›Paper›PMID 42032511›Full record

ArticleBMC nephrology2026

Reshaping the therapeutic landscape of IgA nephropathy: a Bayesian network meta-analysis on the comparative efficacy and safety of immunosuppressants and targeted agents.

Rulong Chen, Jinxin Zhang, Jiating Chen, Tingfei Xie, Yunpeng Xu, Zhaoyong Hu, Jihong Chen

Abstract readNetwork Meta-AnalysisComparative Study
In one paragraph

Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rulong ChenDepartment of Nephrology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, Shenzhen, Guangdong, 518000, PR China.
Jinxin ZhangDepartment of Nephrology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, Shenzhen, Guangdong, 518000, PR China.
Jiating ChenDepartment of Nephrology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, Shenzhen, Guangdong, 518000, PR China.
Tingfei XieDepartment of Nephrology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, Shenzhen, Guangdong, 518000, PR China.
Yunpeng XuDepartment of Nephrology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, Shenzhen, Guangdong, 518000, PR China.
Zhaoyong HuNephrology Division, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA.
Jihong ChenDepartment of Nephrology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, Shenzhen, Guangdong, 518000, PR China. chenjihong0606@hotmail.com.

Funding

2024 High-quality Development Research Project of Shenzhen Bao'an Public Hospital BAGZL2024037Wellcome Trust 202401
6 · The paper itself

Abstract

backgroundComparative evidence between conventional immunosuppressants and emerging targeted therapies for IgA nephropathy (IgAN) is limited by a lack of head-to-head trials. We conducted a Bayesian network meta-analysis to compare efficacy and safety signals across available randomized evidence.

methodsPubMed, the Cochrane Library, Web of Science, Scopus, and Embase were searched from inception to March 2025 for randomized controlled trials in adults with biopsy-proven IgAN comparing methylprednisolone, mycophenolate mofetil (MMF), tacrolimus, targeted-release budesonide (Nefecon), iptacopan, or sibeprenlimab versus placebo or supportive care. Outcomes included serious adverse events (SAEs), estimated glomerular filtration rate (eGFR) slope, proteinuria, and urinary protein-to-creatinine ratio (UPCR). Bayesian random-effects models generated risk ratios or mean differences with 95% credible intervals, and surface under the cumulative ranking (SUCRA) probabilities were used to describe comparative rankings. Prespecified subgroup analyses by baseline eGFR (< 60 vs. ≥ 60 mL/min/1.73 m²) were assessed using interaction tests.

resultsSeventeen trials were included. For SAEs, most comparisons were inconclusive because of sparse data and wide uncertainty intervals, although iptacopan showed a numerically lower point estimate for serious adverse events within the network. Subgroup analyses did not suggest effect modification by baseline eGFR. For kidney function, Nefecon showed the most favorable point estimate for eGFR slope, ranking highest in SUCRA analyses; however, credible intervals crossed the null and these rankings should be interpreted with caution given the sparse evidence network. For proteinuria outcomes, methylprednisolone showed the largest reductions versus placebo when assessed by UPCR, while iptacopan and sibeprenlimab were also associated with reductions; many between-treatment contrasts remained imprecise.

conclusionsAmong evaluated therapies, Nefecon showed the most favorable point estimate for eGFR slope; however, this finding was imprecise and should be interpreted as hypothesis-generating rather than evidence of superiority. Overall, comparative estimates remain uncertain because of sparse networks, heterogeneous regimens, and limited follow-up. SUCRA rankings should be considered exploratory rather than evidence of treatment superiority. These findings support individualized treatment decisions and highlight the need for larger, longer-term, directly comparative trials with hard renal outcomes.

Indexed as

Glomerulonephritis, IGAImmunosuppressive AgentsBayes TheoremGlomerular Filtration RateHumansMolecular Targeted TherapyRandomized Controlled Trials as TopicTreatment OutcomeImmunosuppressive AgentsAnti-APRIL monoclonal antibodyComplement factor B inhibitorIgA nephropathyImmunosuppressive agentsTargeted-release budesonide

Identifiers

PMID42032511
PMCPMC13267211

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.