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Abstract

Aim: Indirect treatment comparisons (ITCs), as outlined in NICE and ISPOR guidance, require careful evaluation of cross-trial heterogeneity to ensure valid comparisons, particularly in rare diseases with limited evidence. C3 glomerulopathy (C3G) is an ultra-rare, complement-mediated kidney disease with high unmet need, making appropriate application of ITC frameworks especially critical. This appraisal evaluates the feasibility of applying ITC principles to compare Phase III trials of iptacopan (APPEAR-C3G) and pegcetacoplan (VALIANT) in the absence of head-to-head evidence. Materials & methods: Feasibility of an ITC in C3G was assessed through critical appraisal of APPEAR-C3G and VALIANT randomized controlled trials, focusing on alignment of eligibility criteria, baseline characteristics and outcome definitions, in line with NICE DSU TSD-18, CHTE2020 and ISPOR guidance. A systematic literature review (SLR) was then conducted to identify published ITCs comparing iptacopan and pegcetacoplan in C3G, which were evaluated for methodological rigor, transparency and credibility according to NICE and ISPOR recommendations. Results: Substantial heterogeneity was observed between APPEAR-C3G and VALIANT. Overlap was limited to small subpopulations, with imbalances in baseline characteristics, differences in end point reporting, and noncomparable placebo responses. These issues indicate that anchored ITCs are not feasible using currently available data without extensive adjustments that conflict with NICE and ISPOR guidance. The SLR identified one ITC poster with limited methodology comparing these trials. However, when the results were subsequently published in a manuscript, crucial methodological details including justification of effect modifiers, modeling diagnostics, analytic procedures, were still unavailable. Other concerns, such as using standard matching-adjusted indirect comparison methodology in the presence of substantial cross-trial heterogeneity, and the resulting limited ESS observed frequently in rare diseases, were confirmed, thus undermining credibility of conclusions. Conclusion: ITCs in C3G face significant methodological challenges due to pronounced trial heterogeneity and small sample sizes inherent to this ultra-rare disease. These limitations complicate the conduct and interpretation of arising ITCs, highlighting the need for transparent and methodologically robust approaches. Consequently, payers, decision makers, and HTA bodies should interpret existing C3G ITCs with caution. These findings inform broader application of ITC methods in rare diseases, identifying areas for future evidence generation and analytical innovation.

Supplementary Material

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References

Papers of special note have been highlighted as: • of interest; •• of considerable interest
1.
Welton NJ, Phillippo D, Owen R et al. CHTE2020 sources and synthesis of evidence: update to evidence synthesis methods (2020). https://sheffield.ac.uk/nice-dsu/methods-development/chte2020-sources-and-synthesis-evidence
•• Updates NICE’s evidence synthesis methods guidance, providing recommendations on the conduct, reporting and interpretation of indirect treatment comparisons (ITCs) and network meta-analyses, including population-adjusted methods such as matching-adjusted indirect comparison (MAIC) and simulated treatment comparison (STC), for use in health technology appraisal.
2.
Phillippo DM, Ades AE, Dias S et al. Methods for population-adjusted indirect comparisons in health technology appraisal. Med. Decis. Making 38(2), 200–211 (2018).
•• Outlines statistical methods such as MAIC and STC for adjusting cross-trial differences in patient populations when conducting ITCs. It highlights assumptions, practical considerations and limitations relevant to health technology assessments.
3.
Jansen JP, Fleurence R, Devine B et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1. Value Health 14(4), 417–428 (2011).
•• Summarizes ISPOR good practices for interpreting ITCs and network meta-analyses in healthcare decision-making.
4.
Jansen JP, Trikalinos T, Cappelleri JC et al. Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report. Value Health 17(2), 157–173 (2014).
•• Presents a structured questionnaire to assess the relevance and credibility of ITCs and network meta-analyses. It serves as a practical tool for payers and reviewers to evaluate methodological robustness and decision usefulness.
5.
Smith RJ, Appel GB, Blom AM et al. C3 glomerulopathy—understanding a rare complement-driven renal disease. Nat. Rev. Nephrol. 15(3), 129–143 (2019).
6.
Caravaca-Fontán F, Lucientes L, Cavero T, Praga M. Update on C3 glomerulopathy: a complement-mediated disease. Nephron 144(6), 272–280 (2020).
7.
Servais A, Noël L-H, Roumenina LT et al. Acquired and genetic complement abnormalities play a critical role in dense deposit disease and other C3 glomerulopathies. Kidney Int. 82(4), 454–464 (2012).
8.
Medjeral-Thomas NR, O'Shaughnessy MM, O'Regan JA et al. C3 glomerulopathy: clinicopathologic features and predictors of outcome. Clin. J. Am. Soc. Nephrol. 9(1), 46–53 (2014).
9.
Martín B, Smith RJ. C3 Glomerulopathy. In: GeneReviews® [Internet]. Adam MP, Feldman J, Mirzaa GM (Eds). University of Washington, WA, USA, 1993–2024 (2018). https://www.ncbi.nlm.nih.gov/books/NBK1425/
10.
Yandian F, Fervenza FC, Caravaca-Fontán F. Complement 3 glomerulopathy revisited: bridging pathogenesis and therapy in the new era. Adv. Kidney Dis. Health 33(1), 78–91 (2026).
11.
Barratt J, Garred P, Lafayette RA, Zhang H, Floege J. Complement-mediated kidney diseases: role of alternative pathway in glomerular inflammation. Kidney Int. Rep. 11(2), 103705 (2025).
12.
Schaefer F, Hofstetter J, Ruiz EM et al. # 1196 C3G and ic-MPGN across the life span: findings from the European Rare Kidney Disease Registry. Nephrol. Dial. Transplant. 39(Suppl. 1), gfae069-0029 (2024).
13.
Bomback AS, Charu V, Fakhouri F. Challenges in the diagnosis and management of immune complex-mediated membranoproliferative glomerulonephritis and complement 3 glomerulopathy. Kidney Int. Rep. 10(1), 17–28 (2025).
14.
Masoud S, Wong K, Pitcher D et al. Quantifying association of early proteinuria and estimated glomerular filtration rate changes with long-term kidney failure in C3 glomerulopathy and immune-complex membranoproliferative glomerulonephritis using the United Kingdom RaDaR Registry. Kidney Int. 108(3), 455–469 (2025).
15.
Bomback AS, Kavanagh D, Vivarelli M et al. Alternative complement pathway inhibition with iptacopan for the treatment of C3 glomerulopathy-study design of the APPEAR-C3G trial. Kidney Int. Rep. 7(10), 2150–2159 (2022).
16.
Novartis Pharmaceuticals. Study of efficacy and safety of iptacopan in patients with C3 glomerulopathy (APPEAR-C3G). ClinicalTrials.gov Identifier: NCT04817618. Last update posted 2025 Mar 4. (2025). Available at: https://clinicaltrials.gov/study/NCT04817618
17.
Kavanagh D, Bomback AS, Vivarelli M et al. Oral iptacopan therapy in patients with C3 glomerulopathy: a randomised, double-blind, parallel group, multicentre, placebo-controlled, Phase III study. Lancet 406(10512), 1587–1598 (2025).
• The APPEAR-C3G Phase III trial evaluated oral iptacopan versus placebo in patients with C3 glomerulopathy to assess improvement in complement dysregulation and kidney disease activity.
18.
Fakhouri F, Bomback AS, Ariceta G et al. Trial of pegcetacoplan in C3 glomerulopathy and immune-complex MPGN. N. Engl. J. Med. 393(22), 2210–2220 (2025).
19.
Apellis Pharmaceuticals. Phase III study assessing the efficacy and safety of pegcetacoplan in patients with C3 glomerulopathy or immune-complex membranoproliferative glomerulonephritis (VALIANT). ClinicalTrials.gov Identifier: NCT05067127. Last update posted 2025 Aug 6. (2025). Available at: https://clinicaltrials.gov/study/NCT05067127
20.
Nester CM, Bomback AS, Iraola MGA et al. VALIANT: a randomized, multicenter, double-blind, placebo (PBO)-controlled, Phase III trial of pegcetacoplan for patients with native or post-transplant recurrent glomerulopathy (C3G) or primary immune complex membranoproliferative glomerulonephritis (IC-MPGN): SA-OR92. J. Am. Soc. Nephrol. 35(Suppl. 10), 10.1681 (2024).
• The VALIANT Phase III trial investigated pegcetacoplan versus placebo in a mixed population of adult and adolescent patients with C3G or recurrent IC-MPGN to determine whether complement C3 inhibition improves renal outcomes.
21.
Gemeinsamer Bundesausschuss. Dossier zur Nutzenbewertung gemäß § 35a SGB V. Anhang 4-G. (2026). https://www.g-ba.de/downloads/92-975-9551/2026_02_10_Modul4D_Pegcetacoplan_Anhang4_G.pdf
22.
Dias S, Sutton AJ, Welton NJ, Ades A. Evidence synthesis for decision making 3: heterogeneity—subgroups, meta-regression, bias, and bias-adjustment. Med. Decis. Making 33(5), 618–640 (2013).
23.
Page MJ, McKenzie JE, Bossuyt PM et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372, n71 (2021).
24.
Dixon BP, Bomback AS, Rich CS et al. Clinical efficacy of pegcetacoplan vs. iptacopan in patients with C3 glomerulopathy: indirect treatment comparisons: SA-PO0826. J. Am. Soc. Nephrol. 36(Suppl. 10), 10.1681 (2025). [Accessed 3 March 2026]. https://sciencelibrary.sobi.com/sites/default/files/documents/Dixon_ITC_ASN2025_poster.pdf
25.
Dixon BP, Bomback AS, Rich CS et al. WCN26-AB-9364. Clinical efficacy of pegcetacoplan versus iptacopan in patients with C3 glomerulopathy: indirect treatment comparison. Kidney Int. Rep. 11(Suppl. 4), 106335 (2025).
26.
Dixon BP, Bomback AS, Rich C et al. Pegcetacoplan versus iptacopan for the treatment of patients with C3 glomerulopathy: indirect treatment comparisons. Adv. Ther. doi: (2026) (Epub ahead of print).
• Presents an indirect comparison suggesting relative differences between pegcetacoplan and iptacopan efficacy in C3G.
27.
Parkitny M, Aballéa S, Wojciechowski P, Toumi M. Can we trust PAICs in rare diseases? Methodological challenges and limitations. J. Mark. Access Health Policy 14(1), 14 (2026).
•• Discusses why population-adjusted indirect comparisons are particularly challenging in rare diseases, emphasizing issues such as small sample sizes, heterogeneity and model instability. It argues for cautious interpretation and transparent reporting to avoid misleading conclusions.
28.
Signorovitch JE, Sikirica V, Erder MH et al. Matching-adjusted indirect comparisons: a new tool for timely comparative effectiveness research. Value Health 15(6), 940–947 (2012).
29.
Dias S, Sutton AJ, Welton NJ et al. Heterogeneity: subgroups, meta-regression, bias and bias-adjustment [Internet]. National Institute for Health and Care Excellence (NICE), UK, NICE DSU Technical Support Document No. 3 (2012).
30.
Kavanagh D, Ariceta G, Vivarelli M et al. Current and emerging therapies for C3 glomerulopathy and primary (idiopathic) immune complex membranoproliferative glomerulonephritis. Kidney Int. Rep. 11(1), 17–31 (2025).
• Presents an indirect comparison suggesting relative differences between pegcetacoplan and iptacopan efficacy in C3G.
31.
Phillippo DM, Dias S, Elsada A, Ades AE, Welton NJ. Population adjustment methods for indirect comparisons: a review of National Institute for Health and Care Excellence Technology Appraisals. Int. J. Technol. Assess. Health Care 35(3), 221–228 (2019).
32.
Cassidy O, Harte M, Trela-Larsen L et al. A comparison of relative-efficacy estimate (S) derived from both matching-adjusted indirect comparisons and standard anchored indirect treatment comparisons: a review of matching-adjusted indirect comparisons. Value Health 26(11), 1665–1674 (2023).
33.
Phillippo DM, Dias S, Ades A, Welton NJ. Assessing the performance of population adjustment methods for anchored indirect comparisons: a simulation study. Stat. Med. 39(30), 4885–4911 (2020).
34.
Phillippo DM, Dias S, Ades A et al. Multilevel network meta-regression for population-adjusted treatment comparisons. J. R. Stat. Soc. Ser. A Stat. Soc. 183(3), 1189–1210 (2020).