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Record W2741500080 · doi:10.1002/pbc.26738

Value of flow cytometric analysis of peripheral blood samples in children diagnosed with acute lymphoblastic leukemia

2017· article· en· W2741500080 on OpenAlexaff
Grace Lam, Angela Punnett, Derek Stephens, Lillian Sung, Mohamed Abdelhaleem, Johann Hitzler

Bibliographic record

VenuePediatric Blood & Cancer · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineConcordanceLymphoblastic LeukemiaBone marrowPeripheralPeripheral bloodLeukemiaBone marrow aspirateAcute lymphocytic leukemiaAcute leukemiaFlow cytometryAnesthesiaPathologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

Diagnostic procedures in children with acute lymphoblastic leukemia (ALL) are typically performed under general anesthesia. Anticipation of the diagnosis based on findings in peripheral blood allows scheduling of the first dose of intrathecal chemotherapy and diagnostic bone marrow (BM) aspirate during a single anesthetic. We retrospectively compared paired results of peripheral blood (PB) flow cytometric analysis and BM evaluation in 383 children with ALL diagnosed consecutively at a single center and found very high concordance of results between both tests. We conclude that PB flow cytometry may help streamline planning of procedure-related anesthetics during diagnosis and early treatment of childhood ALL.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.284
Teacher spread0.272 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

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