Evidence map›Paper›PMID 38980341›Full record

ArticleAnesthesiology2024

Cannabis Use and Inhalational Anesthesia Administration in Older Adults: A Propensity-matched Retrospective Cohort Study.

Ruba Sajdeya, Masoud Rouhizadeh, Robert L Cook, Ronald L Ison, Chen Bai, Sebastian Jugl, Hanzhi Gao, Mamoun T Mardini, Kimia Zandbiglari, Farzana I Adiba and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

16 authors.

Ruba SajdeyaDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida.ORCID 0000-0002-1101-3603
Masoud RouhizadehCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida.
Robert L CookDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida.
Ronald L IsonDepartment of Anesthesiology, College of Medicine, University of Florida, Gainesville, Florida.
Chen BaiDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida.
Sebastian JuglCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida.
Hanzhi GaoDepartment of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida.
Mamoun T MardiniDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida.
Kimia ZandbiglariCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida.
Farzana I AdibaCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida.
Osama DasaDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida.
Almut G WintersteinCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida.
Catherine C PriceDepartment of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida.
Thomas A PearsonDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida.
Christoph N SeubertDepartment of Anesthesiology, College of Medicine, University of Florida, Gainesville, Florida.
Patrick J TigheDepartment of Anesthesiology, College of Medicine, University of Florida, Gainesville, Florida.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
15/24- Healthy Brain and Child Development National ConsortiumU01DA055358 · NIDA · UNIVERSITY OF FLORIDA · PI GURKA, KELLY K., SCOTT, LISA S. · 2021 to 2023
$3.7M
PRECEDE: PREsurgical Cognitive Evaluation via Digital clockfacEdrawingR01AG055337 · NIA · UNIVERSITY OF FLORIDA · PI CATHERINE E PRICE, Parisa Rashidi · 2017 to 2026
$3.2M
Perioperative Cognitive Anesthesia Network Extension for Socially Vulnerable Older AdultsK07AG073468 · NIA · UNIVERSITY OF FLORIDA · PI TIGHE, PATRICK J · 2021 to 2025
$774k
NCATS NIH HHS UL1 TR001427NIA NIH HHS K07 AG073468NIA NIH HHS R01 AG055337NIDA NIH HHS U01 DA055358
6 · The paper itself

Abstract

backgroundCannabis use is associated with higher intravenous anesthetic administration. Similar data regarding inhalational anesthetics are limited. With rising cannabis use prevalence, understanding any potential relationship with inhalational anesthetic dosing is crucial. Average intraoperative isoflurane or sevoflurane minimum alveolar concentration equivalents between older adults with and without cannabis use were compared.

methodsThe electronic health records of 22,476 surgical patients 65 yr or older at the University of Florida Health System between 2018 and 2020 were reviewed. The primary exposure was cannabis use within 60 days of surgery, determined via (1) a previously published natural language processing algorithm applied to unstructured notes and (2) structured data, including International Classification of Diseases codes for cannabis use disorders and poisoning by cannabis, laboratory cannabinoids screening results, and RxNorm codes. The primary outcome was the intraoperative time-weighted average of isoflurane or sevoflurane minimum alveolar concentration equivalents at 1-min resolution. No a priori minimally clinically important difference was established. Patients demonstrating cannabis use were matched 4:1 to non-cannabis use controls using a propensity score.

resultsAmong 5,118 meeting inclusion criteria, 1,340 patients (268 cannabis users and 1,072 nonusers) remained after propensity score matching. The median and interquartile range age was 69 (67 to 73) yr; 872 (65.0%) were male, and 1,143 (85.3%) were non-Hispanic White. The median (interquartile range) anesthesia duration was 175 (118 to 268) min. After matching, all baseline characteristics were well-balanced by exposure. Cannabis users had statistically significantly higher average minimum alveolar concentrations than nonusers (mean ± SD, 0.58 ± 0.23 vs. 0.54 ± 0.22, respectively; mean difference, 0.04; 95% confidence limits, 0.01 to 0.06; P = 0.020).

conclusionCannabis use was associated with administering statistically significantly higher inhalational anesthetic minimum alveolar concentration equivalents in older adults, but the clinical significance of this difference is unclear. These data do not support the hypothesis that cannabis users require clinically meaningfully higher inhalational anesthetics doses. EDITOR’S PERSPECTIVE:

Indexed as

Anesthesia, InhalationAnesthetics, InhalationPropensity ScoreAgedAged, 80 and overCohort StudiesFemaleHumansIsofluraneMaleMarijuana UseRetrospective StudiesSevofluraneAnesthetics, InhalationIsofluraneSevoflurane

Identifiers

PMID38980341
PMCPMC11461122

What OpenQuestion holds

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Registered trials

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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.