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Record W2131996949 · doi:10.1016/j.bbmt.2014.10.025

Fate of Patients with Newly Diagnosed Acute Myeloid Leukemia Who Fail Primary Induction Therapy

2014· article· en· W2131996949 on OpenAlexaff
Megan Othus, Frederick R. Appelbaum, Stephen H. Petersdorf, Kenneth J. Kopecky, Marilyn L. Slovak, Thomas J. Nevill, Joseph Brandwein, Richard A. Larson, Patrick J. Stiff, Roland B. Walter, Martin S. Tallman, Leif Stenke, Harry P. Erba

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of TorontoVancouver General Hospital
FundersNational Cancer InstituteU.S. Department of Health and Human Services
KeywordsMedicineInternal medicineMyeloid leukemiaRegimenTransplantationHematopoietic stem cell transplantationCohortLeukemiaOncologySurgery

Abstract

fetched live from OpenAlex

The aim of this study was to describe the fate of patients with newly diagnosed acute myeloid leukemia (AML) who did not achieve an initial remission while being treated on a contemporary cooperative group trial. We analyzed the outcome of patients entered into S0106, a recently reported cooperative group trial for patients with newly diagnosed AML. A total of 589 eligible patients was treated, of whom 150 (25%) did not achieve a remission while on study and were available for further analysis. The 4-year survival rate for the entire cohort of 150 patients was 23%. Among the 64 patients who received an allogeneic hematopoietic cell transplant, the 4-year survival rate was 48% compared with 4% for the 86 patients who did not undergo transplantation. Among those transplanted, we could not detect a difference in outcome according to remission status, donor source, type of preparative regimen, or cytogenetic risk category. More than 20% of patients with newly diagnosed AML who fail induction therapy can still be cured, particularly if they are able to receive an allogeneic hematopoietic cell transplant. These results suggest that early HLA typing and donor identification are important components of the initial therapy of AML.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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 teacher head, 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".

Quick stats

Citations75
Published2014
Admission routes1
Has abstractyes

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