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Record W1968020263 · doi:10.1111/bjh.12561

Treatment of elderly patients with acute lymphoblastic leukaemia using a paediatric‐based protocol

2013· article· en· W1968020263 on OpenAlexaff
Marc Poch Martell, Eshetu G. Atenafu, Mark D. Minden, Andre C. Schuh, Karen Yee, Aaron D. Schimmer, Vikas Gupta, Joseph Brandwein

Bibliographic record

VenueBritish Journal of Haematology · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineRegimenInduction chemotherapyChemotherapyAcute lymphocytic leukemiaInternal medicineMaintenance therapySurgeryPediatricsLymphoblastic LeukemiaLeukemia

Abstract

fetched live from OpenAlex

All newly diagnosed patients aged 60-79 years with acute lymphoblastic leukaemia (ALL) receiving induction chemotherapy with a modified paediatric-based regimen over a 7-year period were retrospectively analysed (n = 51, median age 65 years). The treatment regimen consisted of induction, central nervous system prophylaxis, seven cycles of intensification and 24 cycles of maintenance. BCR-ABL1 negative patients received weekly asparaginase during intensification, while BCR-ABL1+ patients received daily imatinib. Post-remission therapy was given in an outpatient setting. The complete response rate was 75%, with an induction mortality of 20%; 6% of patients had resistant disease. 37% of patients who achieved a complete remission relapsed. The estimated 5-year overall survival was 40% for BCR-ABL1 negative and 47% for BCR-ABL1+ patients (P = not significant); the 5-year disease-free survival was 57% and 39%, respectively (P = NS). The post-induction phase was generally well tolerated, with 81% able to complete the intensification phase and proceed to maintenance. In conclusion, administration of this modified paediatric-based protocol is feasible and active for elderly patients with ALL. Survival is superior to most previously reported series in this age group, but remains worse compared to younger patients. Further improvement of the toxicity profile, particularly during induction, is required to improve outcomes.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.013
GPT teacher head0.282
Teacher spread0.269 · 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 designCase report
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

Citations34
Published2013
Admission routes1
Has abstractyes

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