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Record W4220723782 · doi:10.21037/joma-21-7

Marijuana and cannabinoid use in clinical oral and maxillofacial surgery: a scoping review

2022· review· en· W4220723782 on OpenAlexaff
Linda Tang, Andrew Robert Emery, Jingping Wang

Bibliographic record

VenueJournal of Oral and Maxillofacial Anesthesia · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsTrinity College
Fundersnot available
KeywordsOral and maxillofacial surgeryMedicineCannabinoidCannabisRecreational useRecreationPsychiatryDentistryInternal medicine

Abstract

fetched live from OpenAlex

Background: Despite increased use of recreational and medical marijuana over the past decade, little is known about its effect on oral and maxillofacial surgery (OMFS). The goal of this study was to map the current state of marijuana and cannabinoid research within OMFS and review the findings. The investigators hypothesized that the number of studies evaluating the use and effects of marijuana and cannabinoids in OMFS would be limited. Methods: The investigators implemented a scoping review study design. Studies were identified and collated by a team of 2 researchers who then independently evaluated each study for eligibility. The final cohort of studies were composed of interventional studies written in English available through ClinicalTrials.gov, PubMed, and Web of Science from inception to 11/01/2021 pertaining to the use of marijuana or cannabinoids within the clinical setting of OMFS. Studies were included that assessed the effects of marijuana on patients undergoing oral surgical procedures and/or conscious sedation. Studies were excluded if they lacked an intervention group, were conducted with animal models, or involved procedures not performed by oral surgeons (e.g., dental fillings). The primary outcome was the number of studies, and secondary outcomes included study topics and study conclusions. Results: A total of 11 studies were identified with sample sizes ranged from 10 to 151 patients. Four studies were observational and 7 studies were prospective, including 4 clinical trials. Topics addressed by these studies included the effects of marijuana and cannabinoids on acute post-extraction pain, temporomandibular joint pain and myofascial pain, extraction socket wound healing, intravenous sedation anesthetic requirements, and intravenous sedation physiologic responses including the cardiovascular response. Two of these studies found that cannabinoids may improve pain, two studies failed to demonstrate improved pain control with cannabinoids, 3 studies reported that cannabinoids had adverse effects on vital signs, 1 study reported increased anesthetic requirements for cannabinoid users, 1 study reported no difference in post-operative healing after dental extractions for cannabinoid and non-cannabinoid users, and 1 study is ongoing. Conclusions: The effect of marijuana and cannabinoids on the OMFS should be considered. However, there is a paucity of literature available. This study was designed to identify knowledge gaps for guiding future research efforts. The lack of clinically-based interventional studies for post-procedural pain control and anesthetic requirements for cannabinoid users indicates an opportunity for growing the field of OMFS.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.136
GPT teacher head0.400
Teacher spread0.264 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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