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Record W1990147363 · doi:10.1111/bjh.12882

Outcome for children and young people with <scp>E</scp>arly <scp>T</scp>‐cell precursor acute lymphoblastic leukaemia treated on a contemporary protocol, <scp>UKALL</scp> 2003

2014· article· en· W1990147363 on OpenAlexfundno aff
Katharine Patrick, Rachel Wade, Nick Goulden, Chris Mitchell, Anthony V. Moorman, Clare Rowntree, Sarah Jenkinson, Rachael Hough, Ajay Vora

Bibliographic record

VenueBritish Journal of Haematology · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsnot available
FundersMedical Research CouncilHospital for Sick ChildrenLeukaemia and Lymphoma Research
KeywordsMedicinePediatricsAcute lymphocytic leukemiaInternal medicineLymphoblastic LeukemiaLeukemia

Abstract

fetched live from OpenAlex

We investigated the outcome for children and young people with Early T-precursor acute lymphoblastic leukaemia (ETP-ALL), a recently described poor prognosis sub-group of T-ALL, treated on a contemporary protocol, UKALL 2003. After a median follow-up of 4 years and 10 months, the ETP sub-group, representing 16% of T-ALL patients, had non-significantly inferior 5-year event-free survival (76·7% vs. 84·6%, P = 0·2) and overall survival (82·4% vs. 90·9%, P = 0·1), and a higher relapse rate (18·6% vs. 9·6%, P = 0·1) compared to typical T-ALL. ETP-ALL has an intermediate risk outcome, which does not warrant experimental treatment or first remission allogeneic transplant for the group universally.

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)0.002
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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

Citations230
Published2014
Admission routes1
Has abstractyes

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