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A randomized double-blind pilot study comparing cetirizine with diphenhydramine in the prevention of paclitaxel-associated infusion-related reactions.

2021· article· en· W3171740981 on OpenAlexaff
Philippe Bouchard, Johannie Beaucage-Charron, Laurence Gaudet, Sarah Lamothe, Cloé Pelletier, Anne-Sophie Pépin, Valérie Roy, Frédéric Charpentier, Marie Lordkipanidzé, Denis Projean, Matthieu Picard

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsMontreal Heart InstituteUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineDiphenhydramineCetirizinePremedicationPlaceboAnesthesiaAdverse effectRandomized controlled trialSedativePaclitaxelContext (archaeology)ChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

e24080 Background: Cetirizine is a less sedative alternative to diphenhydramine for the prevention of infusion-related reactions (IRR) to paclitaxel. However, there is no prospective data to support its use in this context. In this study, we conducted a feasibility study for a future definitive non-inferiority trial comparing cetirizine with diphenhydramine as premedication to prevent paclitaxel-related IRR. Methods: This was a single center randomized double-blind parallel-group prospective pilot study. Participants were paclitaxel-naive cancer patients scheduled to start paclitaxel chemotherapy, alone or in combination. They were assigned to receive either intravenous diphenhydramine 50 mg + oral placebo (diphenhydramine group) or intravenous placebo + oral cetirizine 10 mg (cetirizine group) for their first two paclitaxel treatments. To assess the feasibility of a larger study, the percentage of eligible patients completing a first paclitaxel treatment and the recruitment rate were calculated. IRR events were documented. Change in drowsiness compared with baseline was assessed using the Stanford Sleepiness Scale (SSS). Results: Among 37 eligible patients, 27 were recruited and randomized (control 13; intervention 14) and 25 completed the study. The recruitment rate was 4.8 participants/month, meeting the primary feasibility target of 4 participants per month. One participant had an IRR (cetirizine group, CTCAE grade 2) and no unexpected serious adverse events occurred. Drowsiness was the main adverse effect associated with the premedication. The increase in drowsiness compared to baseline (ΔSSS) was greater in the diphenhydramine group compared to the cetirizine group (median ΔSSS 2 (IQR 3.25) vs median ΔSSS 0 (IQR 1), p < 0.01) when measured one hour after the administration of the premedication. Patient self-assessed moderate or intense discomfort caused by drowsiness was exclusively reported in the diphenhydramine group, by 4 out of 13 participants. Conclusions: The trial methods were feasible in terms of recruitment rate, retention and patient safety. IRR were infrequent and a larger trial is warranted to confirm non-inferiority for IRR prevention. Cetirizine was significantly less sedating than diphenhydramine when administered as premedication to prevent paclitaxel-associated IRR. Clinical trial information: NCT04237090. [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 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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.266
GPT teacher head0.510
Teacher spread0.245 · 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 designRandomized trial
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
Published2021
Admission routes1
Has abstractyes

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