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Record W2399625578 · doi:10.1097/mph.0000000000000465

The Incidence of Hypersensitivity Reactions to Pegylated Asparaginase in Children With Acute Lymphoblastic Leukemia

2015· article· en· W2399625578 on OpenAlexaff
Muaz Alrazzak, Lynda K. Beaupin, Peter Kinyoun, Matthew J. Barth

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineLymphoblastic LeukemiaAsparaginaseIncidence (geometry)LeukemiaDermatologyImmunology

Abstract

fetched live from OpenAlex

Asparaginase (ASNase) is an imperative component of pediatric acute lymphoblastic leukemia (ALL) therapy. Pegylating the ASNase extends its biological half-life in vivo and has become the only ASNase available in the United States for frontline therapy of ALL and lymphoblastic lymphoma. It is either infused intravenously (IV) or injected intramuscularly (IM), administrations of which are associated with hypersensitivity reaction ranging from localized skin reaction to severe anaphylaxis. A retrospective review of 96 medical records of pediatric ALL patients was performed. We compared the incidence of hypersensitivity reaction associated with IV versus IM administration of pegylated ASNase. Ninety-one patients were included in the final analysis; 31 having received pegylated ASNase IV and 60 receiving it IM. The incidence of any grade ≥ 2 hypersensitivity reaction in patients who received IV ASNase was 32.2% compared with 13.3% in the IM group (P=0.032). There was no difference in higher grade hypersensitivity reactions (19.4% vs. 11.7%). Most reactions tended to occur during periods of leukemia therapy that did not include concomitant steroid therapy. Our retrospective analysis indicates that IV administration of pegylated ASNase increases the incidence of low-grade, but not grade 3-4, hypersensitivity reactions compared with IM administration.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.317
Teacher spread0.297 · 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.

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

Citations11
Published2015
Admission routes1
Has abstractyes

Explore more

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