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Record W4304758361 · doi:10.1002/pbc.30001

Prevention of acute and delayed chemotherapy‐induced nausea and vomiting in pediatric cancer patients: A clinical practice guideline

2022· article· en· W4304758361 on OpenAlex
Priya Patel, Paula D. Robinson, Marie Cohen, Katie A. Devine, Paul Gibson, Mark T. Holdsworth, Eloise Neumann, Andrea D. Orsey, Daniela Spinelli, Jennifer Thackray, Marianne D. van de Wetering, Deborah Woods, Sandra Cabral, Lillian Sung, L. Lee Dupuis

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.

Bibliographic record

VenuePediatric Blood & Cancer · 2022
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of TorontoPediatric Oncology GroupSickKids FoundationMcMaster Children's HospitalHospital for Sick Children
FundersNational Institute for Health and Care Research
KeywordsMedicineChemotherapy-induced nausea and vomitingAntiemeticNauseaGuidelineVomitingDosingIntensive care medicineChemotherapyClinical trialDexamethasoneAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

This clinical practice guideline provides recommendations for preventing acute and delayed phase chemotherapy-induced nausea and vomiting (CINV) in pediatric patients. The recommendations are based on two systematic reviews of randomized controlled trials evaluating interventions to prevent (1) acute phase CINV and (2) delayed phase CINV. Recommendations for acute phase and delayed phase CINV prophylaxis are made for patients receiving chemotherapy of varying emetogenicity, as well as for patients not able to receive dexamethasone or a neurokinin-1 receptor antagonist. Evidence gaps, including antiemetic safety and optimal dosing, were identified.

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)0.001
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 score0.035
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.371
Teacher spread0.348 · 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