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An open-label randomized trial comparing addition of olanzapine 5 mg versus olanzapine 10 mg as anti-emetic to standard anti-emetic regime for doxorubicin or epirubicin and cyclophosphamide in breast cancer.

2024· article· en· W4401331613 on OpenAlexaboutno aff
Thinley Dorji

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsnot available
Fundersnot available
KeywordsEpirubicinOlanzapineMedicineCyclophosphamideDoxorubicinBreast cancerOncologyRandomized controlled trialPharmacologyChemotherapyCancerInternal medicineSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

e12531 Background: Chemotherapy-induced nausea and vomiting (CINV) is an important therapy related side effects in the treatment of malignancies. Breast cancer patients receive a highly-emetogenic chemotherapy with Doxorubicin or Epirubicin and Cyclophosphamide. The addition of Olanzapine 10 mg is known to reduce acute and delayed CINV, however, Olanzapine 10 mg is associated with somnolence and fatigue. In this study, the proportion of complete response of CINV to Olanzapine 5 mg was compared to Olanzapine 10 mg that was added to standard antiemetic regime. Methods: This was an open-label randomized clinical trial comparing the effectiveness of Olanzapine 5 mg against Olanzapine 10 mg in preventing acute and delayed phases of CINV. This study was conducted at a tertiary care cancer centre in India between 2020 – 2021. The sample size was calculated 118 subjects that were allocated with simple randomization method. The primary outcome of CINV in acute and delayed phase were collected using the Multinational Association for Supportive Care in Cancer (MASCC) Antiemesis Tool; the intensity of symptoms of nausea, retching and vomiting were assessed using the Rhodes index; the overall patient experience was assessed using the Edmonton Symptom Assessment Scale. The comparison of proportions of CINV in the two groups were compared using Chi-square test while intensity scores were compared using Wilcoxon rank-sum test. All p values <0.05 were considered significant. Ethics approval was obtained from the Institutional Review Board. The trial was registered at the Clinical Trials Registry of India. Results: Of the118 patients randomized, 57 received Olanzapine 5 mg and 61 received Olanzapine 10 mg in addition to standard antiemetic regime. The overall complete response rate was 54.2% in acute phase and 72.0% in delayed phase. The complete response rate of Olanzapine 5 mg was 57.9% in acute phase and 91.2% in delayed phase. The complete response rate of Olanzapine 10 mg was 50.9% in acute phase and 54.1% in delayed phase. The nausea intensity score on day 5 after chemotherapy was significantly lower among those receiving Olanzapine 10 mg. However, there were no difference in the reduction retching and overall symptoms between the groups. In terms of side effect profile, those receiving Olanzapine 10 mg reported significantly higher grades of somnolence and fatigue. There was no difference in the occurrence of pain, depression, anxiety, shortness of beath, appetite and wellbeing. Conclusions: There was no difference in the effectiveness of Olanzapine 5 mg compared to Olanzapine 10 mg in the prevention of CINV. However, Olanzapine 10 mg was associated with higher proportions of somnolence and fatigue. Therefore, it is recommended that Olanzapine 5 mg may replace current antiemetic regimes that contain Olanzapine 10 mg. Clinical trial information: CTRI/2020/01/023076.

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)0.003
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 score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.161
GPT teacher head0.520
Teacher spread0.359 · 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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Citations1
Published2024
Admission routes1
Has abstractyes

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