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Record W2119043550 · doi:10.1016/j.bbmt.2008.04.012

Allogeneic Hematopoietic Cell Transplantation for Adult Philadelphia-Positive Acute Lymphoblastic Leukemia in the Era of Tyrosine Kinase Inhibitors

2008· review· en· W2119043550 on OpenAlexaff
Yasser R. Abou Mourad, Hugo F. Fernández, Mohamed A. Kharfan‐Dabaja

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2008
Typereview
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineImatinibTyrosine kinaseTransplantationInternal medicineChemotherapyLymphoblastic LeukemiaPhiladelphia chromosomeImatinib mesylateOncologyTyrosine-kinase inhibitorLeukemiaHematopoietic stem cell transplantationImmunologyMyeloid leukemiaReceptorChromosomal translocation

Abstract

fetched live from OpenAlex

Allogeneic hematopoietic cell transplantation in first complete remission (CR1) is considered the standard of care, and the only established therapy that offers a possibility of cure for patients with Philadelphia-positive acute lymphoblastic leukemia (Ph+ ALL). Unfortunately, a number of patients, with suitable HLA-matched donors, are unable to receive an allograft because they fail to respond, or relapse shortly after induction chemotherapy. Incorporating imatinib during the induction/consolidation phase is facilitating a higher number of potentially curative allografts by improving both remission rates and/or the durability of responses in patients with Ph+ ALL. Imatinib and other tyrosine kinase inhibitors are also improving outcomes in elderly patients with Ph+ ALL, ineligible for allografting, when combined with glucocorticoids, and/or conventional chemotherapy. The addition of imatinib or other tyrosine kinase inhibitors to the therapeutic armamentarium of Ph+ ALL is reshaping the treatment algorithm and improving prognosis of this dreadful disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2008
Admission routes1
Has abstractno

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