2020
DOI: 10.1038/s41409-020-01032-9
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Predicting non-relapse mortality following allogeneic hematopoietic cell transplantation during first remission of acute myeloid leukemia

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Cited by 18 publications
(9 citation statements)
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“…Such future analyses should include comparisons with other scoring system not tested in the current study, e.g. the rDRI, 13 the NRM-J index, 14 and/or the SCI. 15 Second, our work was restricted to adults undergoing allogeneic HCT for AML in remission.…”
Section: Discussionmentioning
confidence: 99%
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“…Such future analyses should include comparisons with other scoring system not tested in the current study, e.g. the rDRI, 13 the NRM-J index, 14 and/or the SCI. 15 Second, our work was restricted to adults undergoing allogeneic HCT for AML in remission.…”
Section: Discussionmentioning
confidence: 99%
“…Many patient- and disease-specific characteristics have individually been associated with increased mortality after allogeneic HCT, and varying combinations thereof have been integrated into validated prognostic scores. These include, for example, the HCT-specific Comorbidity Index (HCT-CI), 4 7 which was designed to capture patient co-morbidities and predict NRM and overall survival (OS) post-HCT, the Pretransplantation Assessment of Mortality (PAM) score, 8 , 9 the (modified) European Society for Blood and Marrow Transplantation (EBMT) risk score, 10 , 11 the Comorbidity-EBMT index, 12 the revised Disease Risk Index (rDRI), 13 the NRM-J index, 14 and the Simplified Comorbidity Index (SCI), 15 among others. While frequently used, existing tools are useful for risk stratification but, at the individual patient level, have relatively limited discriminative capacity.…”
Section: Introductionmentioning
confidence: 99%
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“…The EBMT score, including age, disease status, time interval from diagnosis to transplant, donor type and donor recipient sex combination, could improve the selection of HCT candidates [115]. More recently, a Japanese study found that five parameters (namely age, sex, ECOG, HCT-CI and donor type) were associated with NRM and could be used to group patients into low-, intermediate-, high-and very-high-risk categories, with markedly different outcomes after allo-HCT [116].…”
Section: Prognostic Modelsmentioning
confidence: 99%
“…After randomly dividing 2,344 patients into a training or validation set, this study identified and scored five parameters, namely, age, sex, PS, HCT-specific comorbidity index(HCT-CI) , and donor type, based on their impact on NRM in the patients in the training set. The new scoring system, named"NRM-J index" , uses the sum of the assigned scores to stratify patients into four distinct risk groups 6 . The application of the NRM-J index in the validation set demonstrated a better discriminative capacity than the European Society for Blood and Marrow Transplantation score 7 and HCT-CI 8 .…”
Section: Studies On Patient-related Factorsmentioning
confidence: 99%