MétaCan
Menu
Back to cohort

A Quality Improvement Initiative: Routine End of Therapy Bone Marrow Aspirates in Pediatric B cell Acute Lymphoblastic Leukemia in Oman

2024· preprint· en· W4392788893 on OpenAlexaff
Alyaa Al Mughairy, Shadhiya Al Khan, Ibrahim Al-Ghaithi, Suzan Williams

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsHospital for Sick ChildrenRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMedicineLymphoblastic LeukemiaBone marrowBone marrow aspirateB cellPediatricsOncologyRetrospective cohort studyInternal medicineLeukemiaImmunology

Abstract

fetched live from OpenAlex

The utility of end of treatment bone marrow aspirates (EOTBMA) and cerebral spinal fluid analysis (EOTCSF) in B-cell acute lymphoblastic leukemia (B-ALL) is unclear. A retrospective review, n=50, B-ALL age 1-18 years at diagnosis, having EOTBMA and EOTCSF, at a single institution 2010-2018 was conducted. No bone marrow or CNS relapse was detected by EOTBMA or EOTCSF. 4/50 (8.0%) patients relapsed at a median of 2.5 years (range 0.9-4.5 years). Consensus to abandon routine EOTBMA occurred by presenting results to faculty. Our data supports absence of utility of routine EOTBMAs and EOTCSF in pediatric B-ALL. Disseminating local data facilitated consensus in implementing best practice.

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)0.029
metaresearch head score (Gemma)0.043
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 score0.029
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.030
GPT teacher head0.325
Teacher spread0.295 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicAcute Lymphoblastic Leukemia researchFrench-language works237,207