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Record W2119021486

The Impact of 5-HT3RA Use on Cost and Utilization in Patients with Chemotherapy-Induced Nausea and Vomiting: Systematic Review of the Literature.

2014· article· en· W2119021486 on OpenAlexaboutno aff
Michael S. Broder, Claudio Faria, Annette Powers, Jehangeer Sunderji, Dasha Cherepanov

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsnot available
Fundersnot available
KeywordsPalonosetronMedicineChemotherapy-induced nausea and vomitingPharmacoeconomicsGranisetronOndansetronNauseaPharmacyIntensive care medicineAprepitantHealth careFamily medicineInternal medicineAntiemetic
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Individual studies have assessed the impact of standard prophylactic therapy with 5-hydroxytryptamine receptor antagonists (5-HT3RAs) for chemotherapy-induced nausea and vomiting (CINV) on cost and utilization, but no synthesis of the findings exists. OBJECTIVE: To systematically review published literature on costs and utilization associated with CINV prophylaxis with palonosetron and other 5-HT3RAs. METHODS: PubMed and the National Institute for Health Research Centre for Reviews and Dissemination databases, conferences of 4 organizations (ie, Academy of Managed Care Pharmacy, American Society of Clinical Oncology, International Society for Pharmacoeconomics and Outcomes Research, and Multinational Association of Supportive Care in Cancer), and the bibliographies of relevant articles were queried for the medical subject headings and key terms of "ondansetron," "granisetron," "palonosetron," "dolasetron mesylate," "costs," "cost analysis," and "economics." We included records published (full-length articles after 1997 and conference presentations after 2010) in English and with human patients, reporting data on cost and utilization (rescue medication, outpatient and inpatient services) associated with the use of 5-HT3RAs for the treatment or prevention of CINV. RESULTS: Of the 434 identified studies, 32 are included in the current analysis: 7 studies report costs, 18 report utilization, and 7 studies report both. The costs are reported in US dollars (7 studies), in Euros (5 studies), and in Canadian dollars (2 studies). The studies vary in designs, patients, 5-HT3RA regimens, and the definition of outcomes. The US studies report higher drug costs for CINV prophylaxis with palonosetron compared with ondansetron, lower medical outpatient and inpatient costs for palonosetron versus other 5-HT3RAs, and higher acquisition costs for palonosetron versus ondansetron or other 5-HT3RAs. Fewer patients receiving palonosetron versus with ondansetron or other 5-HT3RAs required rescue medication or used outpatient or inpatient care. In Europe and in Canada, the total pharmacy costs and use of rescue medications reported are lower for patients receiving prophylaxis with palonosetron. CONCLUSIONS: This analysis shows that prophylaxis with palonosetron for the treatment of CINV is associated with higher acquisition treatment costs, but also with lower use of rescue medications and outpatient and inpatient services compared with ondansetron or other 5-HT3RAs in the United States. Therefore, the use of palonosetron as a standard treatment may lead to reduced service utilization for CINV.

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 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)0.007
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.008
Bibliometrics0.0120.017
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.258
Teacher spread0.234 · 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 designSystematic review
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

Citations13
Published2014
Admission routes1
Has abstractyes

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