MétaCan
Menu
Back to cohort
Record W2161013848 · doi:10.1002/pbc.24508

Guideline for the prevention of acute nausea and vomiting due to antineoplastic medication in pediatric cancer patients

2013· article· en· W2161013848 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePediatric Blood & Cancer · 2013
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsMcMaster UniversityUniversity of TorontoSickKids FoundationPediatric Oncology GroupChildren's Hospital of Eastern OntarioInstitute for Clinical Evaluative SciencesHospital for Sick Children
FundersCanadian Institutes of Health ResearchPediatric Oncology Group of Ontario
KeywordsMedicineAntiemeticGuidelineNauseaVomitingAprepitantIntensive care medicinePsychological interventionCancerPediatric cancerAnesthesiaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

This guideline provides an approach to the prevention of acute antineoplastic-induced nausea and vomiting (AINV) in children. It was developed by an international, inter-professional panel using AGREE and CAN-IMPLEMENT methods. Evidence-based interventions that provide optimal AINV control in children receiving antineoplastic agents of high, moderate, low, and minimal emetogenicity are recommended. Recommendations are also made regarding selection of antiemetic agents for children who are unable to receive corticosteroids for AINV control, the role of aprepitant and optimal doses of antiemetic agents. Gaps in the evidence used to support the recommendations were identified. The contribution of this guideline to AINV control in children requires prospective evaluation.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.013
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.301
Teacher spread0.288 · 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