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Record W2796322204 · doi:10.21037/apm.2018.03.09

Efficacy of the combination neurokinin-1 receptor antagonist, palonosetron, and dexamethasone compared to others for the prophylaxis of chemotherapy-induced nausea and vomiting: a systematic review and meta-analysis of randomized controlled trials

2018· review· en· W2796322204 on OpenAlexaff
Ronald Chow, May Tsao, Leonard Chiu, Marko M. Popovic, Milica Milakovic, Henry Lam, Carlo DeAngelis

Bibliographic record

VenueAnnals of Palliative Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsSunnybrook Health Science CentreHealth Sciences Centre
Fundersnot available
KeywordsPalonosetronMedicineAprepitantGranisetronRandomized controlled trialMeta-analysisDexamethasoneVomitingNauseaNK1 receptor antagonistAntagonistChemotherapyChemotherapy-induced nausea and vomitingAnesthesiaPharmacologyInternal medicineAntiemeticReceptorSubstance PNeuropeptide

Abstract

fetched live from OpenAlex

BACKGROUND: Chemotherapy-induced nausea and vomiting (CINV), a common side effect of chemotherapy, can substantially impair a patient's quality of life, interfere with a patient's compliance with anticancer therapy, and result in the manifestation of adverse events such as electrolyte imbalance, dehydration and malnutrition. The most recent guidelines published by the Multinational Association of Supportive Care in Cancer (MASCC) and European Society of Medical Oncology (ESMO) recommend the combination of dexamethasone (DEX), a 5-hydroxytrypatmine-3 receptor antagonist (5-HT3RA), preferably palonosetron (PALO), and a neurokinin-1 receptor antagonist (NK1RA) for prophylactic treatment of CINV in patients receiving highly emetogenic chemotherapy (HEC). The aim of this review was to examine the efficacy of triple agent, as reported in randomized controlled trials (RCTs), compared to any other prophylactic treatments. METHODS: A literature search was conducted in Ovid MEDLINE(R), Embase Classic & Embase, and the Cochrane Central Register of Controlled Trials. The primary endpoint was the proportion of patients achieving complete response (CR) in the acute, delayed and overall phase. Secondary endpoints included the percentage of patients who achieved complete control (CC), no nausea and no vomiting in the acute, delayed and overall phases. RESULTS: A total of 17 RCTs were included in this review, of which 3,146 patients were randomized to receive NK1RA, PALO and DEX, and 2,987 patients to receive other antiemetic treatments. The combination was not superior to other treatments in five endpoints-CC and CR in the acute phase, nausea and emesis control in the delayed phase, and nausea in the overall phase-but was superior in the other 11 endpoints. When looking only at HEC and moderately emetogenic chemotherapy (MEC) studies, the combination was only superior to others in three endpoints (delayed and overall CC, and overall emesis control) in HEC setting, which is less than the nine identified endpoints (delayed and overall CR, delayed and overall CC, acute and overall nausea control, and acute, delayed and overall phases for emesis control) in the MEC setting. CONCLUSIONS: The combination of NK1RA, PALO and DEX is superior in the majority of assessed endpoints of this meta-analysis. Further studies should investigate the efficacy and safety of the triple regimen compared to regimens lacking NK1RA, to add to the discussions about whether future CINV prophylaxis guidelines should include NK1RA as a first-line treatment in the MEC setting.

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)0.023
metaresearch head score (Gemma)0.043
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.518
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0360.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.297
GPT teacher head0.464
Teacher spread0.167 · 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.

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

Citations18
Published2018
Admission routes1
Has abstractyes

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