MétaCan
Menu
Back to cohort
Record W2794097777 · doi:10.1016/j.bbmt.2017.12.219

Multiinstitution Retrospective Review of Long Term Outcomes in Pediatric Chronic Myeloid Leukemia

2018· article· en· W2794097777 on OpenAlexaff
Sonali Chaudhury, Knute Martell, John Bergsagel, Andrew E. Place, Michele S. Redell, Kirk R. Schultz, Gregory M.T. Guilcher, E. Anders Kolb, Nobuko Hijiya

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsAlberta Children's HospitalBC Children's Hospital
Fundersnot available
KeywordsMedicineMyeloid leukemiaImatinibInternal medicineRetrospective cohort studyImatinib mesylateTyrosine-kinase inhibitorNilotinibPediatricsCancer

Abstract

fetched live from OpenAlex

Since the development of tyrosine kinase inhibitors (TKIs), the prognosis for patients with chronic myeloid leukemia (CML) has markedly improved with most patients surviving on lifelong TKI. However, given rarity of pediatric CML, there are few reports on response outcomes especially late effects in children. Data are extrapolated from adult patients although the host factors are different in children and the exposure of TKIs is expected to be much longer. We conducted a multicenter retrospective study in 143 pediatric CML patients at six centers.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.009
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.284
Teacher spread0.271 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueBiology of Blood and Marrow TransplantationSame topicChronic Myeloid Leukemia TreatmentsFrench-language works237,207