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Differential time course of action of 5-HT<sub>3</sub> and NK<sub>1</sub> antagonists when used with highly and moderately emetogenic chemotherapy (HEC and MEC)

2009· article· en· W3192856091 on OpenAlexaff
Paul J. Hesketh, David Warr, James C. Street, A. Carides

Bibliographic record

VenueJournal of Clinical Oncology · 2009
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineOndansetronChemotherapyDexamethasoneAntagonistRandomized controlled trialInternal medicineCyclophosphamideGastroenterologyNK1 receptor antagonistAnesthesiaVomitingReceptor

Abstract

fetched live from OpenAlex

9629 Background: Cisplatin-based HEC displays a biphasic pattern of emesis with both an early and delayed period. In contrast, MEC has a monophasic pattern. The objective of this analysis was to investigate the time course of action of the 5-HT 3 antagonist ondansetron (OND) and the NK 1 antagonist aprepitant (APR) in trials with HEC and MEC. Methods: Phase III HEC and MEC trials of APR were included. In 2 HEC studies, patients (pts) scheduled to receive cisplatin- based chemotherapy were randomized to an active-control group (OND + dexamethasone [DEX] Day 1, DEX bid Days 2–4) or an APR group (APR + OND + DEX Day 1; APR + DEX qd Days 2–3; and DEX Day 4). In a third HEC study, control pts also received OND on Days 2- 3. For the MEC study, breast cancer pts receiving anthracycline + cyclophosphamide-based chemotherapy were randomized to an active- control group (OND + DEX pre chemotherapy and OND 8 hours (h) later; OND bid Days 2–3) or an APR group (APR + OND + DEX pre chemotherapy and OND 8 h later; APR qd Days 2–3). In a post-hoc analysis, multivariate logistic regression models were used to assess the impact on emesis at different time intervals using a modified intent-to-treat approach. No multiplicity adjustment was planned, so nominal p-values are reported. Results: 1,527 pts and 856 pts were randomized and assessed for efficacy in the HEC and MEC trials respectively. For HEC, APR reduced risk of emesis beginning 15–18 h after cisplatin and extending to 48 h by 45–77% compared to control and by 45–67% compared to the OND control. For MEC, APR markedly reduced emesis from 6–9 h by 61% compared to control (p=0.0012). Conclusions: Time of onset (15 h vs. 6 h) and time course (15–48 h vs. 6–9 h) for the enhanced control of emesis with the addition of APR differs between HEC and MEC respectively. With HEC these results suggest that 5-HT 3 dependent mechanisms are most important in the first 12 h after HEC with NK 1 -dependent mechanisms having a key role later. With MEC both 5-HT 3 and NK 1 mechanisms appear to be important early and the greatest impact of the NK 1 antagonist occurs in the first 9 h. These results provide a rationale for maximizing NK 1 -antagonist exposure early on with MEC as a means to improve emesis control. [Table: see text]

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.065
GPT teacher head0.389
Teacher spread0.324 · 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 designBench or experimental
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".

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Citations0
Published2009
Admission routes1
Has abstractyes

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