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Record W2513548018 · doi:10.1002/hon.2341

Predictive value of molecular remissions postconsolidation chemotherapy in patients with Core Binding Factor Acute Myeloid Leukemia (CBF‐AML) – a single center analysis

2016· article· en· W2513548018 on OpenAlexaff
Uday Deotare, Marwan Shaheen, Joseph Brandwein, Bethany Pitcher, Suzanne Kamel‐Reid, Karen Yee, Aaron D. Schimmer, Mark D. Minden, Vikas Gupta, Andre C. Schuh

Bibliographic record

VenueHematological Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of AlbertaPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMyeloid leukemiaMedicineInternal medicineOncologyChemotherapyReverse transcriptaseSingle CenterPolymerase chain reactionLeukemiaGastroenterologyGeneBiology

Abstract

fetched live from OpenAlex

We analyzed the outcome of 80 sequential patients with core binding factor acute myeloid leukemia and evaluated the influence of molecular monitoring by quantitative reverse transcriptase polymerase chain reaction. With a median follow-up of 5 years, the estimated 5-year relapse-free survival and overall survival were 58% and 66%, respectively. Patients who were in molecular remission at the completion of consolidation chemotherapy had a 21% risk of relapse, while the relapse risk for those in molecular remission at the end of 2 years was 5.5%. Our data indicate that postconsolidation molecular remission does not necessarily preclude disease relapse and further monitoring is required. In contrast, molecular negativity by quantitative reverse transcriptase polymerase chain reaction at the end of 2 years is associated with a low risk of relapse.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.023
GPT teacher head0.314
Teacher spread0.291 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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