ArticleBone marrow transplantation2019
Impact of a novel prognostic model, hematopoietic cell transplant-composite risk (HCT-CR), on allogeneic transplant outcomes in patients with acute myeloid leukemia and myelodysplastic syndrome.
Article in Bone marrow transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Two Different Transplant Preconditioning Regimens Combined with Irradiation and Chemotherapy in the Treatment of Childhood Leukemia: Systematic Review and Meta-Analysis.Journal of healthcare engineering · 2022Pooled it
- A novel Iowa-Mayo validated composite risk assessment tool for allogeneic stem cell transplantation survival outcome prediction.Blood cancer journal · 2021Trial
- A holistic prognostic model for leukemia-free survival after allogeneic transplantation in acute leukemia.Bone marrow transplantation · 2026Article
- A molecular-based risk score for predicting leukemia-free survival in adult AML patients undergoing Allo-HSCT.iScience · 2025Article
- A novel prognostic scoring system for AML patients undergoing allogeneic hematopoietic stem cell transplantation with real world validation.Journal of advanced research · 2025Article
- Artificial intelligence-based predictive model for relapse in acute myeloid leukemia patients following haploidentical hematopoietic cell transplantation.Journal of translational internal medicine · 2025Article
- Article
- Patient-reported physical well-being predicts good long-term survival of hematopoietic stem cell transplantation.Cancer medicine · 2024Article
- Article
- Current Status and Perspectives of Allogeneic Hematopoietic Stem Cell Transplantation in Elderly Patients with Acute Myeloid Leukemia.Stem cells translational medicine · 2022Review
- Impact of depth of clinical response on outcomes of acute myeloid leukemia patients in first complete remission who undergo allogeneic hematopoietic cell transplantation.Bone marrow transplantation · 2021Article
- Does one model fit all? Predicting non-relapse mortality after allogeneic hematopoietic cell transplantation.Bone marrow transplantation · 2021Article
- The evolving concept of indications for allogeneic hematopoietic cell transplantation during first complete remission of acute myeloid leukemia.Bone marrow transplantation · 2021Review
- Predicting non-relapse mortality following allogeneic hematopoietic cell transplantation during first remission of acute myeloid leukemia.Bone marrow transplantation · 2021Article
- Combining the Disease Risk Index and Hematopoietic Cell Transplant Co-Morbidity Index provides a comprehensive prognostic model for CD34Advances in cell and gene therapy · 2021Article
- Which lower risk myelodysplastic syndromes should be treated with allogeneic hematopoietic stem cell transplantation?Leukemia · 2020Review
- [Outcomes of 138 myelodysplastic syndrome patients with HLA-matched sibling donor allogeneic hematopoietic stem cell transplantation].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2020Article
- Transplant outcomes for patients with therapy-related acute myeloid leukemia with prior lymphoid malignancy: an ALWP of EBMT study.Bone marrow transplantation · 2020Article
Corrections and comments
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19 authors.
Funding
Abstract
Outcomes after allogeneic stem-cell transplantation (AHSCT) are influenced by both disease- and patient-related factors. Here, we developed a novel prognostic model, hematopoietic cell transplant-composite risk (HCT-CR), by combining the refined disease risk index (DRI-R) and hematopoietic stem-cell transplant comorbidity/age index (HCT-CI/Age) to predict post-transplant survival for patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). The analysis included 942 AML/MDS patients treated with AHSCT. Patients were stratified into 4 HCT-CR risk groups: Low-risk-patients with low/intermediate DRI-R and HCT-CI/Age ≤3 (N = 272); Intermediate-risk-patients with low/intermediate DRI-R and HCT-CI/Age >3 (N = 168); High-risk-patients with high/very high DRI-R and HCT-CI/Age ≤3 (N = 284); and Very high-risk-patients with high/very high DRI-R and HCT-CI/Age >3 (N = 184). Compared with the low-risk group, intermediate, high, and very high-risk groups had a significantly increased risk of death [adjusted HR of 1.37 (P < 0.04), 2.08 (P < 0.001), and 2.92 (P < 0.001), respectively]. The concordance test showed that the HCT-CR model provided better discriminative capacity for OS prediction compared with all prior models independently, including cytogenetic risk group, DRI-R, and HCT-CI/Age model (C-indices: 0.62, 0.55, 0.60, and 0.54, respectively) (P < 0.001). In conclusion, combining disease- and patient-related factors provides better survival stratification for patients with AML/MDS receiving AHSCT.
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