Ontology type: schema:ScholarlyArticle
2020-08-14
AUTHORSMasamitsu Yanada, Takaaki Konuma, Shohei Mizuno, Masuho Saburi, Akihito Shinohara, Masatsugu Tanaka, Atsushi Marumo, Masashi Sawa, Naoyuki Uchida, Yukiyasu Ozawa, Makoto Onizuka, Satoshi Yoshioka, Hirohisa Nakamae, Tadakazu Kondo, Takafumi Kimura, Junya Kanda, Takahiro Fukuda, Yoshiko Atsuta, Hideki Nakasone, Shingo Yano
ABSTRACTThe aim of this study was to develop a comprehensive system for predicting non-relapse mortality after allogeneic hematopoietic cell transplantation (HCT) during first complete remission (CR) of acute myeloid leukemia (AML). After dividing 2344 eligible patients randomly into a training set and a validation set, we first identified and scored five parameters, that is, age, sex, performance status, HCT-comorbidity index (HCT-CI), and donor type, on the basis of their impact on non-relapse mortality for patients in the training set. The non-relapse mortality-J (NRM-J) index using the sum of these scores was then applied to patients in the validation set, resulting in a clear differentiation of non-relapse mortality, with expected 2-year rates of 11%, 16%, 27%, and 33%, respectively (P < 0.001). The estimated c-statistic was 0.67, which was significantly higher than that of the European Society for Blood and Marrow Transplantation score (0.60, P = 0.002) and the HCT-CI (0.57, P < 0.001). The NRM-J index showed a significant association with overall survival, but not with relapse. Our findings demonstrate that the NRM-J index is useful for predicting post-transplant non-relapse mortality for patients with AML in first CR, for whom the decision of whether to perform allogeneic HCT is critical. More... »
PAGES387-394
http://scigraph.springernature.com/pub.10.1038/s41409-020-01032-9
DOIhttp://dx.doi.org/10.1038/s41409-020-01032-9
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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41409-020-01032-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41409-020-01032-9'
This table displays all metadata directly associated to this object as RDF triples.
397 TRIPLES
21 PREDICATES
99 URIs
74 LITERALS
14 BLANK NODES