MétaCan
Menu
← Back to cohort
Record W4408098957 · doi:10.1136/bmjopen-2024-089336

Medicinal CANnabis (CBD/THC) to prevent the symptoms and side effects of chemotherapy in people with advanced CANcer (CANCAN): protocol for a phase II, randomised, double-blind, placebo-controlled trial

2025· article· en· W4408098957 on OpenAlexaboutno aff
Olivia Bellas, Katrina Cao, Joanne M. Bowen, Scott D. Smid, Sepehr Shakib, Gregory B. Crawford, Andrew C.W. Zannettino, David T Yeung, Ganessan Kichenadasse, Jennie Louise, Julie Marker, Bronwyn Cambareri, Timothy Price, Hannah R. Wardill

Bibliographic record

VenueBMJ Open · 2025
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMucositisCancerQuality of life (healthcare)PlaceboPolypharmacyInternal medicineChemotherapyAlternative medicine

Abstract

fetched live from OpenAlex

Introduction Many chemotherapy agents used to treat advanced cancer are inherently mucotoxic, causing breakdown of the gastrointestinal mucosa (gastrointestinal mucositis (GI-M)) and lead to a constellation of secondary complications including diarrhoea, malnutrition, anorexia, pain, fatigue and sleep disturbances. These symptoms are usually managed individually, leading to polypharmacy and its associated risks. The endocannabinoid system regulates numerous biological and behavioural processes associated with chemotherapy side effects, suggesting its modulation could control these symptoms. Therefore, the CANnabinoids in CANcer (CANCAN) therapy trial is a phase II, randomised, double-blind, placebo-controlled trial that aims to determine the efficacy of medicinal cannabis in minimising GI-M and its associated symptom burden. Methods and analysis The CANCAN trial is being conducted at four Australian sites: the Royal Adelaide Hospital, the Queen Elizabeth Hospital, Flinders Medical Centre and the Lyell McEwin Hospital. Adults (n=176) diagnosed with a solid tumour or a haematological cancer scheduled to receive mucotoxic chemotherapy will be eligible. Participants will be randomised 1:1 to receive either the investigational product (IP) or placebo, both delivered as sublingual wafers. The active IP contains cannabidiol (300 mg/day) and Δ9-tetrahydrocannabinol (5–20 mg/day, titrated by the participant). The primary outcome is GI-M burden, determined by the Mucositis Daily Questionnaire. Secondary and tertiary outcomes include overall symptom burden (Edmonton Symptom Assessment Scale), anorexia (Average Functional Assessment of Anorexia/Cachexia Therapy), depression/anxiety (Hospital Anxiety and Depression Scale), financial toxicity (Functional Assessment of Chronic Illness Therapy COmprehensive Score for financial Toxicity), quality of life (European Organisation for Research and Treatment of Cancer Core Quality of Life Questionnaire), incidence of chemotherapy dose reductions/modifications, cumulative dose of chemotherapy administered, incidence/length of hospitalisation, the use of supportive care, and the cost-benefit of the IP. The CANCAN trial prioritises patient experiences by focusing on patient-reported outcome measures and administering medicinal cannabis during active treatment to prevent symptoms that occur secondary to mucositis. Ethics and dissemination The protocol has been approved by Central Adelaide Local Health Network Human Research Ethics Committee (2022HRE00037). All participants will be required to provide written or digitally authorised informed consent. Trial results will be disseminated in peer-reviewed journals, and at scientific conferences. Trial registration number ACTRN12622000419763.

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)0.017
metaresearch head score (Gemma)0.017
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.077
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.017
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0770.013

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 head0.027
GPT teacher head0.446
Teacher spread0.419 · 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
GenreProtocol

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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueBMJ Open→Same topicCannabis and Cannabinoid Research→French-language works237,207→