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A randomized, double-blind controlled trial of medicinal cannabis vs placebo for symptom management in patients with advanced cancer receiving palliative care.

2024· article· en· W4401323801 on OpenAlexaboutno aff
Janet Hardy, Ristan M. Greer, Taylan Gurgenci, Alison Kearney, Rahul Ladwa, Georgie Huggett, Phillip Good

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePlaceboCancerPalliative careRandomized controlled trialCannabisIntensive care medicineInternal medicineAlternative medicinePsychiatryNursingPathology

Abstract

fetched live from OpenAlex

12020 Background: Medicinal cannabis remains very popular amongst cancer patients. In our previous study (JCO 2023; 41(7):1444-1452), cannabidiol (CBD) did not improve symptom management above that provided by standard palliative care alone. This study utilized the same design to test whether the addition of tetrahydrocannabinol(THC) to CBD resulted in improved symptom control. Methods: Patients with advanced cancer and a total symptom distress score (TSDS) of ≥10/90 as measured by the Edmonton Symptom Assessment Scale (ESAS) who were receiving palliative care were randomised to a 10mg/ml THC:10mg/ml CBD combination oil (MC) or matched placebo. The dose was escalated according to tolerance and perceived efficacy from 2.5 to 30mg/day over 14 days and continued at that dose to day 28. The primary outcome was the change in TSDS from baseline at day 14. Secondary outcomes included change in individual symptoms, patient-selected dose, global impression of change, anxiety/depression, opioid use, quality of life and toxicity. Results: Of the 144 randomized from Sept 2019 to July 2023 (72 to MC, 72 to placebo), 56 and 65 participants reached the primary analysis point at 14 days, and 33 and 50 to day 28. The most common cancers were breast, lung and gynecological. Most participants were of reasonable performance status (AKPS 70%) and were taking opioids at baseline. Mean baseline TSDS scores were 37.6/90 (MC) and 36.5/90 (placebo). Mean TSDS scores fell over time with no difference between arms at day 14 (-6.3 (SD 12.3) MC and -6.98 (SD 12.6), p = 0.76) or day 28 (-9.24 (SD 15.3) and 8.42 (SD 13.6), p = 0.8). Adjusted for baseline, there was a significant improvement in pain score from baseline in favor of MC (-1.41 (2.15) vs -0.46 (2.82), p = 0.04) and in overall wellbeing in favor of placebo (-0.48 (2.78) and -1.29 (2.74), p = 0.02) at day 14. The median (range) patient selected dose of oil at day 14 was 1.5ml (0.5-3.0) (equivalent to a dose of 15mgTHC/15mg CBD) and 3.0ml (0.5-3.0) for placebo. Side-effects were generally mild. More participants on MC reported confusion (26/69 and 12/72, p = 0.005), feeling high (21/69 and 10/72, p = 0.02) and an exaggerated sense of well-being (10/69 and 2/72, p = 0.01) as worse than baseline. Those on MC reported an improved global impression of change over time but this lost significance when considering those who exited early. Conclusions: Although showing no advantage over placebo with respect to improving total symptom distress, a 1:1 THC:CBD medicinal cannabis oil resulted in a statistically significant improvement in cancer-related pain at the expense of increased psychomimetic toxicity. Trial registration: ACTRN 12619000037101. Sponsor: Australian Government Medical Research Future Fund. Clinical trial information: ACTRN12619000037101.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.074
GPT teacher head0.482
Teacher spread0.408 · 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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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