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Peer-reviewedCC BYHematology, Transfusion and Cell Therapy

QUANTIFYING THE IMPACT OF TRANSPLANT-RELATED MORTALITY ON THE CLINICAL BENEFIT OF AUTOLOGOUS STEM CELL TRANSPLANTATION: A MATHEMATICAL MODEL OF TREATMENT TRANSPORTABILITY

  1. 1Centro de Hematologia de Ribeirão Preto, Ribeirão Preto, SP, Brazil
  2. 2Faculdade de Ciencias Médicas de São José dos Campos, (Humanitas), São José dos Campos, SP, Brazil; Centro de Hematologia do Vale, São José dos Campos, SP, Brazil

Abstract

Background: Autologous stem cell transplantation (ASCT) remains the standard consolidative therapy for transplant-eligible patients with multiple myeloma. However, the clinical benefit observed in randomized trials may not be fully reproduced in routine practice because transplant-related mortality (TRM) varies across transplant centers. We developed a mathematical model to quantify how center-specific TRM influences the effective benefit of ASCT. Aim: To develop and validate a mathematical model estimating the impact of excess transplant-related mortality on the expected clinical benefit of upfront ASCT in multiple myeloma. Methods: The Transportability-Based Risk-Adjusted Benefit Model (TRABM) was developed using a competing-risk approach in which early transplant-related death prevents patients from achieving the survival benefit of ASCT. The model incorporates three variables: absolute treatment benefit (Δ), baseline outcome in the control group (B₀), and excess transplant-related mortality (p), generating estimates of adjusted net benefit and treatment transportability. Model parameters were derived from pooled phase III trials (IFM 2009, DETERMINATION, EMN02/HO95, and FORTE), corresponding to an estimated progression-free survival gain of 16.5 months over a baseline of 32 months. Sensitivity analyses evaluated excess TRM from 0.5% to 10%. Results: Increasing excess TRM produced a progressive, nearly linear reduction in the net clinical benefit of ASCT. The estimated progression-free survival gain declined from 16.3 months at 0.5% excess mortality to 16.0 months at 1%, 15.5 months at 2%, 14.1 months at 5%, and 11.6 months at 10%. More than 95% of the benefit observed in randomized trials was preserved when excess TRM remained close to 1%, whereas clinically meaningful attenuation occurred with higher mortality rates. Simulations also demonstrated that patients with greater baseline treatment benefit maintained favorable outcomes despite modest increases in TRM, whereas lower-benefit scenarios lost clinical advantage earlier. Conclusion: The TRABM demonstrates that the effectiveness of ASCT depends not only on treatment efficacy but also on the quality and safety of transplant programs. Even modest increases in transplant-related mortality substantially reduce the benefit expected from clinical trials. This mathematical framework provides an objective tool for translating trial results into real-world practice and may support benchmarking of transplant centers, quality improvement initiatives, and individualized decision-making in hematopoietic stem cell transplantation.

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BibTeX
@article{ismael2026quantifying,
  title = {{QUANTIFYING THE IMPACT OF TRANSPLANT-RELATED MORTALITY ON THE CLINICAL BENEFIT OF AUTOLOGOUS STEM CELL TRANSPLANTATION: A MATHEMATICAL MODEL OF TREATMENT TRANSPORTABILITY}},
  author = {Sebastião José ISMAEL and Fernando CALLERA},
  journal = {Hematology, Transfusion and Cell Therapy},
  year = {2026},
  month = oct,
  doi = {10.1016/j.htct.2026.107923},
  url = {https://doi.org/10.1016/j.htct.2026.107923},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - QUANTIFYING THE IMPACT OF TRANSPLANT-RELATED MORTALITY ON THE CLINICAL BENEFIT OF AUTOLOGOUS STEM CELL TRANSPLANTATION: A MATHEMATICAL MODEL OF TREATMENT TRANSPORTABILITY
AU  - Sebastião José ISMAEL
AU  - Fernando CALLERA
PY  - 2026
DA  - 2026/10/23
JO  - Hematology, Transfusion and Cell Therapy
DO  - 10.1016/j.htct.2026.107923
UR  - https://doi.org/10.1016/j.htct.2026.107923
AB  - Background: Autologous stem cell transplantation (ASCT) remains the standard consolidative therapy for transplant-eligible patients with multiple myeloma. However, the clinical benefit observed in randomized trials may not be fully reproduced in routine practice because transplant-related mortality (TRM) varies across transplant centers. We developed a mathematical model to quantify how center-specific TRM influences the effective benefit of ASCT. Aim: To develop and validate a mathematical model estimating the impact of excess transplant-related mortality on the expected clinical benefit of upfront ASCT in multiple myeloma. Methods: The Transportability-Based Risk-Adjusted Benefit Model (TRABM) was developed using a competing-risk approach in which early transplant-related death prevents patients from achieving the survival benefit of ASCT. The model incorporates three variables: absolute treatment benefit (Δ), baseline outcome in the control group (B₀), and excess transplant-related mortality (p), generating estimates of adjusted net benefit and treatment transportability. Model parameters were derived from pooled phase III trials (IFM 2009, DETERMINATION, EMN02/HO95, and FORTE), corresponding to an estimated progression-free survival gain of 16.5 months over a baseline of 32 months. Sensitivity analyses evaluated excess TRM from 0.5% to 10%. Results: Increasing excess TRM produced a progressive, nearly linear reduction in the net clinical benefit of ASCT. The estimated progression-free survival gain declined from 16.3 months at 0.5% excess mortality to 16.0 months at 1%, 15.5 months at 2%, 14.1 months at 5%, and 11.6 months at 10%. More than 95% of the benefit observed in randomized trials was preserved when excess TRM remained close to 1%, whereas clinically meaningful attenuation occurred with higher mortality rates. Simulations also demonstrated that patients with greater baseline treatment benefit maintained favorable outcomes despite modest increases in TRM, whereas lower-benefit scenarios lost clinical advantage earlier. Conclusion: The TRABM demonstrates that the effectiveness of ASCT depends not only on treatment efficacy but also on the quality and safety of transplant programs. Even modest increases in transplant-related mortality substantially reduce the benefit expected from clinical trials. This mathematical framework provides an objective tool for translating trial results into real-world practice and may support benchmarking of transplant centers, quality improvement initiatives, and individualized decision-making in hematopoietic stem cell transplantation.
SN  - 2531-1379
SN  - 2531-1387
ER  -