Evidence map›Paper›PMID 37159196›Full record

ArticleJAMA network open2023

Assessment of Medical Cannabis and Health-Related Quality of Life.

Thomas R Arkell, Luke A Downey, Amie C Hayley, Sebastian Roth

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
14.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Health-related quality of life in patients receiving medicinal cannabis: systematic review and meta-analysis of primary research findings 2015-2025.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  17. Medicinal Cannabis and Consumer Vulnerability in Australia: A Nexus of Policy and Market Factors.Health expectations : an international journal of public participation in health care and health policy · 2025
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  18. Optimization and Evaluation ofPharmaceuticals (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Thomas R ArkellCentre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, Victoria, Australia.
Luke A DowneyCentre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, Victoria, Australia.
Amie C HayleyCentre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, Victoria, Australia.
Sebastian RothDepartment of Economics, University of Western Australia, Crawley, Western Australia, Australia.
Swinburne University of Technology · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The use of cannabis as a medicine is becoming increasingly prevalent. Given the diverse range of conditions being treated with medical cannabis, as well as the vast array of products and dose forms available, clinical evidence incorporating patient-reported outcomes may help determine safety and efficacy. Objective: To assess whether patients using medical cannabis report improvements in health-related quality of life over time. Design, Setting, and Participants: This retrospective case series study was conducted at a network of specialist medical clinics (Emerald Clinics) located across Australia. Participants were patients who received treatment for any indication at any point between December 2018 and May 2022. Patients were followed up every mean (SD) 44.6 (30.1) days. Data for up to 15 follow-ups were reported. Statistical analysis was conducted from August to September 2022. Exposure: Medical cannabis. Product types and cannabinoid content varied over time in accordance with the treating physician's clinical judgement. Main Outcomes and Measures: The main outcome measure was health-related quality of life as assessed using the 36-Item Short Form Health Survey (SF-36) questionnaire. Results: In this case series of 3148 patients, 1688 (53.6%) were female; 820 (30.2%) were employed; and the mean (SD) age was 55.9 (18.7) years at baseline before treatment. Chronic noncancer pain was the most common indication for treatment (68.6% [2160 of 3148]), followed by cancer pain (6.0% [190 of 3148]), insomnia (4.8% [152 of 3148]), and anxiety (4.2% [132 of 3148]). After commencing treatment with medical cannabis, patients reported significant improvements relative to baseline on all 8 domains of the SF-36, and these improvements were mostly sustained over time. After controlling for potential confounders in a regression model, treatment with medical cannabis was associated with an improvement of 6.60 (95% CI, 4.57-8.63) points to 18.31 (95% CI, 15.86-20.77) points in SF-36 scores, depending on the domain (all P < .001). Effect sizes (Cohen d) ranged from 0.21 to 0.72. A total of 2919 adverse events were reported, including 2 that were considered serious. Conclusions and Relevance: In this case series study, patients using medical cannabis reported improvements in health-related quality of life, which were mostly sustained over time. Adverse events were rarely serious but common, highlighting the need for caution with prescribing medical cannabis.

Indexed as

CannabisChronic PainHallucinogensMedical MarijuanaAnalgesics, OpioidCannabinoid Receptor AgonistsFemaleHumansMaleMiddle AgedQuality of LifeRetrospective StudiesAnalgesics, OpioidCannabinoid Receptor AgonistsHallucinogensMedical Marijuana

Identifiers

PMID37159196
PMCPMC10170337
OpenAlexW4375955347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.