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Record W1977446491 · doi:10.1002/pbc.21353

Acute megakaryoblastic leukemia in Down syndrome

2007· review· en· W1977446491 on OpenAlexaff
Johann Hitzler

Bibliographic record

VenuePediatric Blood & Cancer · 2007
Typereview
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsAcute megakaryoblastic leukemiaGATA1Down syndromeMedicineLeukemiaPhenotypeAcute leukemiaSomatic cellImmunologyBlood cancerDiseaseCancer researchCancerInternal medicineGeneticsGeneBiologyAnemiaErythropoiesis

Abstract

fetched live from OpenAlex

Children with Down syndrome (DS) have a 10- to 20-fold increased risk of developing acute leukemia. An estimated 10% of newborns with DS develop Transient Myeloproliferative Disease (TMD) or Transient Leukemia (TL), a clonal accumulation of megakaryoblasts that resolves spontaneously within months. Acute megakaryoblastic leukemia (AMKL) develops in approximately 20% of cases of TMD/TL by 4 years of age. Both the blasts of AMKL and TMD/TL in DS harbor somatic mutations of GATA1, an essential transcriptional regulator of megakaryocytic differentiation. The distinct phenotypes of megakaryoblastic leukemia in DS are a unique biological model of the incremental process of leukemic transformation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.045
GPT teacher head0.379
Teacher spread0.335 · 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; both teacher heads agree on what is shown here.

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

Citations28
Published2007
Admission routes1
Has abstractyes

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