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Record W2057644698 · doi:10.1159/000146081

Adult Precursor T-Lymphoblastic Leukemia/Lymphoma with Myeloid-Associated Antigen Expression Is Associated with a Lower Complete Remission Rate following Induction Chemotherapy

2008· article· en· W2057644698 on OpenAlexafffund
Murtadha Al‐Khabori, Samira Samiee, Sharon Fung, Wei Xu, Joseph Brandwein, Bruce Patterson, William Brien, Hong Chang

Bibliographic record

VenueActa Haematologica · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and Retrovirus Studies
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersUniversity Health Network
KeywordsMedicineMyeloidAntigenInternal medicineMyeloid leukemiaLymphoblastic lymphomaUnivariate analysisChemotherapyLymphomaInduction chemotherapyLeukemiaGastroenterologyImmunologyOncologyT cellMultivariate analysisImmune system

Abstract

fetched live from OpenAlex

Prognostic studies of T-cell lymphoblastic leukemia/lymphoma (T-ALL) have been performed in small patient cohorts with conflicting results. We systematically reviewed 67 adult T-ALL patients diagnosed and treated at our institute to identify clinical and pathologic prognostic factors. The median initial WBC was 21.3 x 10(9)/l. Blasts expressed at least one myeloid-associated antigen in 33%. Karyotypes were abnormal in 32% of the cases. Fifty-six of 64 patients (88%) achieved complete remission (CR). In univariate analysis, age, gender, initial WBC, CD10, CD34 and abnormal karyotype did not predict CR. Patients expressing at least one myeloid-associated antigen had a CR of 74% compared to 94% (p = 0.04) for those not expressing myeloid antigens. None of the above factors affected relapse-free or overall survival in this cohort. Our study indicates that expression of myeloid-associated antigens is associated with a lower CR rate in adult T-ALL and may be considered in risk stratification for induction chemotherapy.

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)0.005
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
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.214
Teacher spread0.197 · 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".

Quick stats

Citations15
Published2008
Admission routes2
Has abstractyes

Explore more

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