Evidence map›Paper›PMID 35850921›Full record

ArticleArchives of public health = Archives belges de sante publique2022

Letter to the editor on "Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017, parts 1-3".

Frank Yizhao Chen, Michael Barnes, Evan Cole Lewis

Open access · goldAbstract readLetter
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Frank Yizhao ChenJamaican Medical Cannabis Corporation, Toronto, Canada. frank.chen@mail.mcgill.ca.ORCID http://orcid.org/0000-0002-9817-9840
Michael BarnesMedical Cannabis Clinicians Society, London, UK.
Evan Cole LewisNeurology Centre of Toronto by Numinus, 419 Eglinton Avenue West, Suite 100, Toronto, ON, M5N1A8, Canada.ORCID http://orcid.org/0000-0001-9024-150X
McGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We would like to thank authors Reece and Hulse (2022) for their three-part article titled "Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017", in which the authors infer that cannabis use has a causal role in the development of various cancer types. While the authors use reputable datasets and a well-established epidemiological methodology, the authors' conclusion of a causal association is limited due to biases inherent in ecological epidemiological studies. Though the researchers attempt to overcome these biases through validation and statistical manipulations, their approaches are insufficient to create conditions suitable for causal inferencing upon examination. There are also concerns in the practical and conceptual application of the studies' dataset that further question the validity of the authors' inferences. Further research exploring the potential benefits and harm of cannabinoids in the context of cancer must be performed before a distinct relationship can be defined.

Indexed as

CancerCannabinoidsCannabisCausal roleConfoundersEcological studyEpidemiological methodologyMethodological appraisalObservational study

Identifiers

PMID35850921
PMCPMC9295352
OpenAlexW4285796653

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.