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Record W4290998968 · doi:10.1007/s00520-022-07287-w

Interventions for the prevention of acute phase chemotherapy-induced nausea and vomiting in adult and pediatric patients: a systematic review and meta-analysis

2022· review· en· W4290998968 on OpenAlexafffund
Priya Patel, Paula D. Robinson, Nora Wahib, Patrick Cheung, Thomas Wong, Sandra Cabral, Arden Parker, 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, Lillian Sung, L. Lee Dupuis

Bibliographic record

VenueSupportive Care in Cancer · 2022
Typereview
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsMcMaster Children's HospitalSickKids FoundationPediatric Oncology GroupUniversity of TorontoHospital for Sick ChildrenInstitute for Clinical Evaluative SciencesMcGill University
FundersNational Cancer InstituteNational Institute for Health and Care ResearchPediatric Oncology Group of Ontario
KeywordsMedicineNauseaVomitingNursing researchPain medicinePsychological interventionMeta-analysisIntensive care medicineChemotherapyInternal medicineAnesthesiaAnesthesiologyNursing

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0130.021
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.135
GPT teacher head0.465
Teacher spread0.331 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations26
Published2022
Admission routes2
Has abstractno

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