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Side effects associated with the use of dexamethasone for prophylaxis of delayed emesis after moderately emetogenic chemotherapy

2005· article· en· W2591382683 on OpenAlexaff
Janette L. Vardy, Kimberly S. Chiew, Jacqueline Galica, Ian F. Tannock

Bibliographic record

VenueJournal of Clinical Oncology · 2005
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineDexamethasoneNauseaVomitingChemotherapyAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

8017 Background: The role of dexamethasone to reduce delayed emesis following highly emetogenic chemotherapy is proven, but there is less evidence of benefit after mild-moderately emetogenic regimens. Here, we develop and evaluate a Dexamethasone Symptom Questionnaire [DSQ] to assess the side effects of dexamethasone in the week after patients receive moderately emetogenic chemotherapy. Methods: After optimization with a focus group, 60 patients receiving oral dexamethasone for delayed prophylaxis of emesis after adjuvant chemotherapy for breast cancer completed and then evaluated the DSQ. Results: Patients reported that the DSQ was worded clearly and addressed items important to them. Patients receiving dexamethasone reported moderate-severe problems with insomnia (45%), indigestion/epigastric discomfort (27%), agitation (25%), increased appetite (18%), weight gain (17%) and acne (15%) in the week following chemotherapy. (See table) Conclusions: The side effects of dexamethasone may outweigh its benefits when used with moderately emetogenic chemotherapy as prophylaxis for delayed nausea and vomiting. A randomized, double-blind crossover trial is underway to determine the effect of dexamethasone on nausea and vomiting, and the impact of side-effects of dexamethasone and of nausea and vomiting, on quality of life. No significant financial relationships to disclose.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.804
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.152
GPT teacher head0.428
Teacher spread0.277 · 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

Citations13
Published2005
Admission routes1
Has abstractyes

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