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Record W4377564933 · doi:10.1002/pbc.30403

The international scandal of defective asparaginase: A blight on children with cancer

2023· article· en· W4377564933 on OpenAlexaff
Ronald D. Barr, R W Furneaux, Laura Margottini, Tim Eden

Bibliographic record

VenuePediatric Blood & Cancer · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAsparaginaseBlood cancerPediatric cancerLymphoblastic LeukemiaDiseaseCancerChinaIntensive care medicineAdverse effectPediatricsLeukemiaEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Acute lymphoblastic leukemia is the commonest form of cancer in children and adolescents worldwide, and asparaginase is an essential component of successful chemotherapy for this disease associated with long-term survival rates often exceeding 90% in high-income countries. Demonstrably defective preparations of asparaginase, distributed from China and India, increase the burden of morbidity and mortality, reducing attainable survival rates. This adverse outcome is enabled by inadequate regulation and oversight, especially in resource-poor settings in low- and middle-income countries where the great majority of children and adolescents with cancer live. The pediatric oncology community must rise to the challenge.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0120.003

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 head0.297
Teacher spread0.286 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations6
Published2023
Admission routes1
Has abstractyes

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