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Evaluation of the Disease Risk Index on Outcomes Following Allogeneic Hematopoietic Cell Transplantation for Acute Myeloid Leukemia and Myelodysplastic Syndromes

2014· article· en· W2598163766 on OpenAlexaff
Fotios V. Michelis, Hans A. Messner, Jieun Uhm, Naheed Alam, David Loach, Laura McGillis, Anna Lambie, Vikas Gupta, John Kuruvilla, Jeffrey H. Lipton, Matthew D. Seftel, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsLeukemia & Lymphoma Society of CanadaPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineMyelodysplastic syndromesInternal medicineUnivariate analysisTransplantationMyeloid leukemiaHematopoietic stem cell transplantationSurgeryMyeloidOncologyInternational Prognostic Scoring SystemBone marrowGastroenterologyMultivariate analysis

Abstract

fetched live from OpenAlex

Abstract Allogeneic hematopoietic cell transplantation (HCT) is a curative treatment option when indicated for myeloid malignancies such as acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS). The Disease Risk Index (DRI, Armand et al, 2012) has been developed to predict overall survival and progression-free survival on the basis of differences in relapse risk. The purpose of this single-center study was to retrospectively investigate the prognostic value of the DRI on the outcome of 470 patients that underwent HCT for AML and MDS between 2000 and 2013. AML patients (n=381) underwent HCT in first and second complete remission and MDS patients (n=89) underwent HCT untreated or in remission. Median age at HCT was 51 (range 18-71), 219 (47%) patients were female. Myeloablative conditioning (MAC) was used in 304 (65%) patients, reduced-intensity (RIC) in 166 (35%) patients. Donors were related for 287 (61%) patients, unrelated for 183 (39%) patients. Grafts were peripheral blood stem cells (PBSC) in 377 (80%) patients and bone marrow in 93 (20%) patients. Median follow-up of patients alive was 44 months (range 1-134). In accordance with the DRI criteria, all 470 patients were in the low risk group concerning disease stage. Concerning disease biology characterized by cytogenetic risk, 11 patients were low risk, 396 patients were intermediate risk and 63 patients high risk. Based on the DRI overall risk stratification, 11, 396 and 63 patients were low, intermediate and high risk respectively. Univariate analysis demonstrated that the DRI was significantly prognostic for overall survival (OS) with a 3-year OS of 82%, 48% and 29% for low, intermediate and high risk patients respectively (p=0.005, Figure A). For cumulative incidence of relapse (CIR), DRI was again prognostic with 3-year CIR 0%, 21% and 30% for low, intermediate and high risk patients respectively (p<0.0001, Figure B). For non-relapse mortality (NRM), DRI did not demonstrate significant prognostic relevance with 3-year NRM 18%, 32% and 43% for low, intermediate and high risk patients respectively (p=0.14). Multivariable analysis for OS confirmed the prognostic significance of the DRI with hazard ratio (HR) 3.3 and 4.9 for intermediate and high risk respectively compared to low risk (p=0.01). For CIR, DRI was highly significant (p<0.0001) while for NRM, the DRI was not predictive (p=0.22). This study confirms the prognostic relevance of the DRI for OS and CIR in our cohort of patients undergoing HCT for AML and MDS. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.296
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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