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Record W3186497210 · doi:10.51731/cjht.2021.99

Palonosetron for Patients Undergoing High or Moderate Emetogenic Chemotherapy

2021· article· en· W3186497210 on OpenAlexaboutno aff
Khai Tran, Hannah Loshak

Bibliographic record

VenueCanadian Journal of Health Technologies · 2021
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsnot available
Fundersnot available
KeywordsPalonosetronAprepitantOndansetronGranisetronMedicineDexamethasoneAntiemeticChemotherapy-induced nausea and vomitingRegimenNauseaVomitingAnesthesiaPharmacologyOncologyInternal medicine

Abstract

fetched live from OpenAlex

This report identified high to moderate quality evidence from clinical studies and economic evaluations, as well as high-quality guidelines regarding the use of palonosetron in the prevention of chemotherapy-induced nausea and vomiting in adult and pediatric patients receiving different emetogenic chemotherapies. Interpretations of the findings should be taken with caution because of the presence of some identified limitations in both clinical and economic evidence. In adult patients receiving high emetogenic chemotherapy, a fixed antiemetic combination of netupitant and palonosetron (NEPA) plus dexamethasone demonstrated noninferiority relative to a triple regimen of granisetron-aprepitant-dexamethasone. Similarly, palonosetron had similar efficacy compared to granisetron with the co-administration of neurokinin 1 receptor antagonist (e.g., aprepitant or fosaprepitant) and dexamethasone. However, in the absence of aprepitant, a 2-drug combination of palonosetron-dexamethasone appeared to be significantly more effective than granisetron-dexamethasone for the prevention of both acute and delayed emesis. In adult patients receiving moderate emetogenic chemotherapy, palonosetron plus dexamethasone was found to be noninferior compared with ondansetron plus dexamethasone. Similar efficacy was also observed between palonosetron plus dexamethasone and transdermal granisetron plus dexamethasone. In a mixed population of adult patients receiving high or moderate emetogenic chemotherapy, a palonosetron regimen appeared to have greater efficacy than ondansetron for delayed emesis. The efficacy of triple regimen of palonosetron-aprepitant-dexamethasone and granisetron-aprepitant-dexamethasone was comparable at all phases. In pediatric patients receiving high emetogenic chemotherapy, palonosetron plus dexamethasone had similar efficacy compared with ondansetron plus dexamethasone in the acute phase, but was more effective in delayed and overall phases of chemotherapy-induced nausea and vomiting. In a mixed population of pediatric patients receiving high or moderate emetogenic chemotherapy, palonosetron plus dexamethasone was noninferior to ondansetron plus dexamethasone. There were no significant differences between palonosetron and ondansetron or between palonosetron and granisetron treatment regimens in adverse events or quality of life. A cost-utility analysis revealed that NEPA plus dexamethasone was dominant (i.e., cost less, more effective) relative to granisetron-aprepitant-dexamethasone and ondansetron-aprepitant or fosaprepitant-dexamethasone in adult patients receiving high emetogenic chemotherapy. In contrast, double or triple regimens of palonosetron was not cost-effective compared to granisetron regimens, mainly due to large difference in price and small quality-adjusted life-years gained. These economic evaluations may not be applicable to the Canadian context. The identified high-quality guidelines have recommendations on the use of specific antiemetic regimens for adult and pediatric patients receiving high emetogenic chemotherapy or moderate emetogenic chemotherapy and suggest that palonosetron may be offered as an alternative to other 5-hydroxytryptamine-3 receptor antagonists and that 1 5-hydroxytryptamine-3 receptor antagonist is not preferred over another based on the available evidence.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.037
GPT teacher head0.302
Teacher spread0.265 · 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 designOther design
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

Citations2
Published2021
Admission routes1
Has abstractyes

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