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Record W3034275754 · doi:10.7326/l20-0090

Using Cannabis to Control Blood Pressure After Spinal Cord Injury: A Case Report

2020· letter· en· W3034275754 on OpenAlexafffundabout
Tom E. Nightingale, Tahira Tejpar, Colleen O’Connell, Andrei V. Krassioukov

Bibliographic record

VenueAnnals of Internal Medicine · 2020
Typeletter
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreStan Cassidy FoundationUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsAutonomic dysreflexiaMedicineSpinal cord injurySpasticitySpinal cordBlood pressureAnesthesiaInternal medicinePsychiatry

Abstract

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Letters20 October 2020Using Cannabis to Control Blood Pressure After Spinal Cord Injury: A Case ReportTom E. Nightingale, PhD, Tahira Tejpar, MSc, Colleen O'Connell, MD, and Andrei V. Krassioukov, MD, PhDTom E. Nightingale, PhDUniversity of Birmingham, Birmingham, United Kingdom (T.E.N.), Tahira Tejpar, MScUniversity of British Columbia, Vancouver, British Columbia, Canada (T.T.), Colleen O'Connell, MDStan Cassidy Centre for Rehabilitation, Fredericton, New Brunswick, Canada (C.O.), and Andrei V. Krassioukov, MD, PhDUniversity of British Columbia and G.F. Strong Rehabilitation Centre, Vancouver, British Columbia, Canada (A.V.K.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/L20-0090 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Background: Spinal cord injury disrupts autonomic pathways, which impairs cardiovascular control and leads to episodes of transient hypertension in a process termed autonomic dysreflexia. These episodes can be severe enough to cause life-threatening medical emergencies (1). They can be triggered by routine peripheral stimuli, such as bladder or bowel events or management, and by the pain and spasticity that frequently accompany spinal cord injury (2). Cannabis alleviates chronic pain and spasticity in adults with multiple sclerosis and has been shown to modulate blood pressure (BP) in humans (3).Objective: To document how a patient with spinal cord injury self-manages autonomic ...References1. Wan D, Krassioukov AV. Life-threatening outcomes associated with autonomic dysreflexia: a clinical review. J Spinal Cord Med. 2014;37:2-10. [PMID: 24090418] doi:10.1179/2045772313Y.0000000098 CrossrefMedlineGoogle Scholar2. Sezer N, Akkus S, Ugurlu FG. Chronic complications of spinal cord injury. World J Orthop. 2015;6:24-33. [PMID: 25621208] doi:10.5312/wjo.v6.i1.24 CrossrefMedlineGoogle Scholar3. National Academies of Sciences, Engineering, and Medicine. The Health Effects of Cannabis and Cannabinoids: The Current State of Evidence and Recommendations for Research. National Academies Pr; 2017. doi:10.17226/24625 CrossrefGoogle Scholar4. Burchiel KJ, Hsu FP. Pain and spasticity after spinal cord injury: mechanisms and treatment. Spine (Phila Pa 1976). 2001;26:S146-60. [PMID: 11805622] CrossrefMedlineGoogle Scholar5. Cardenas DD, Jensen MP. Treatments for chronic pain in persons with spinal cord injury: a survey study. J Spinal Cord Med. 2006;29:109-17. [PMID: 16739554] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: University of Birmingham, Birmingham, United Kingdom (T.E.N.)University of British Columbia, Vancouver, British Columbia, Canada (T.T.)Stan Cassidy Centre for Rehabilitation, Fredericton, New Brunswick, Canada (C.O.)University of British Columbia and G.F. Strong Rehabilitation Centre, Vancouver, British Columbia, Canada (A.V.K.)Acknowledgment: The authors thank Dr. Rahul Sachdeva for his critical review of the manuscript and Mr. Adam Mesa for his help with the figures (International Collaboration on Repair Discoveries at University of British Columbia). They also thank the patient for his participation in this case study and provision of detailed information.Financial Support: Dr. Nightingale is a recipient of a 2018/2020 Michael Smith Foundation for Health Research/International Collaboration on Repair Discoveries Research Trainee Award (#17767). The equipment used for this case report was supported by a Canada Foundation for Innovation/B.C. Knowledge Development Fund grant (#35869) to Dr. Krassioukov.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=L20-0090.Corresponding Author: Andrei V. Krassioukov, MD, PhD, Division of Physical Medicine & Rehabilitation, Department of Medicine, International Collaboration on Repair Discoveries-Blusson Spinal Cord Centre, University of British Columbia, 818W 10th Avenue, Vancouver, BC V5Z 1M9, Canada; e-mail, [email protected]org. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byMarijuanaCannabis Use Is Inversely Associated with Metabolic Disorders in Hepatitis C-Infected Patients (ANRS CO22 Hepather Cohort) 20 October 2020Volume 173, Issue 8Page: 668-670KeywordsBladderBlood pressureCannabisCannabis useHeart rateHypotensionNeuropathic painRehabilitation medicineSleepSpinal cord injury ePublished: 16 June 2020 Issue Published: 20 October 2020 Copyright & PermissionsCopyright © 2020 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0060.004
Science and technology studies0.0070.003
Scholarly communication0.0030.005
Open science0.0020.003
Research integrity0.0130.008
Insufficient payload (model declined to judge)0.0060.002

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 head0.118
GPT teacher head0.452
Teacher spread0.334 · 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 designCase report
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".

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Citations2
Published2020
Admission routes3
Has abstractyes

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