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Record W2082434024 · doi:10.1016/j.juro.2012.02.1190

1083 CANNABIS (MARIJUANA) USE IN MEN WITH CHRONIC PROSTATITIS / CHRONIC PELVIC PAIN SYNDROME

2012· article· en· W2082434024 on OpenAlexaboutno aff
Dean A. Tripp, J. Curtis Nickel, Laura Katz, Jessica Ginting, Ware Mark, Darcy A. Santor

Bibliographic record

VenueThe Journal of Urology · 2012
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstatitisCannabisPelvic painChronic painLower urinary tract symptomsPopulationChronic prostatitis/chronic pelvic pain syndromeGynecologyFamily medicinePsychiatryInternal medicineProstateSurgeryEnvironmental health

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyInfections/Inflammation of the Genitourinary Tract: Prostate & Genitalia1 Apr 20121083 CANNABIS (MARIJUANA) USE IN MEN WITH CHRONIC PROSTATITIS / CHRONIC PELVIC PAIN SYNDROME Dean Tripp, J. Curtis Nickel, Katz Laura, Jessica V. Ginting, Ware Mark, and Darcy Santor Dean TrippDean Tripp Kingston, Canada More articles by this author , J. Curtis NickelJ. Curtis Nickel Kingston, Canada More articles by this author , Katz LauraKatz Laura Kingston, Canada More articles by this author , Jessica V. GintingJessica V. Ginting Kingston, Canada More articles by this author , Ware MarkWare Mark Montreal, Canada More articles by this author , and Darcy SantorDarcy Santor Ottawa, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.1190AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES To examine the prevalence of cannabis use among men with CP/CPPS, to estimate the dose size and frequency of cannabis use, and to describe the patient reported indications for its use in this population. METHODS Parallel online and clinic questionnaire surveys were conducted to assess cannabis use among men with CP/CPPS. As a check on study generalizability, comparisons between the online data (n=365) and clinic data (n=60) showed no clinically meaningful differences in the outcome variables of quality of life (QoL), suicidal ideation, pain and urinary symptoms were evident between these groups. RESULTS Forty nine percent of this sample reported cannabis use (n=206). Of those reporting cannabis use, 29% (n=59) indicated use for pain relief (pain users) and 71% (n=147) for recreation. The pain users (mean age=38.26±13.78), were younger than recreational users (42.37±12.18) and individuals who reported never using cannabis (45.29±13.73)(p=.001). More pain users reported cannabis was of pain reduction benefit in comparison to recreational users (Chisq=3.83, p=.05). No differences were found between recreational and pain users in degree of side effects (Chisq=4.43, p=.22), reasons for stopping (Chisq=4.84, p=.18), or use frequency (Chisq=5.48, p=.07). There were no differences in dose smoked between the pain and recreational users (Chisq=5.80, p=.12), but a difference was found in dose eaten between these two groups with 20% of pain users reporting consuming more than 1 gram per dose versus only 7% of recreational users reporting consuming this dosage. (Chisq=12.51, p=.002). Pain users reported more pain (F=4.04, p=.05), poorer CP/CPPS QoL/impact (F=8.61, p=.004), and more suicidal thoughts (F=6.59, p=.01) than recreational users. CONCLUSIONS Cannabis use is prevalent in men reporting CP/CPPS (49%), but not necessarily used for CP/CPPS symptoms (used for pain in only 29% users). It is important that physicians planning a therapeutic strategy for patients with CP/CPPS know the relevance of this data and question their patients on their use (and effect/impact on symptoms) of marijuana/cannabis. Although this study cannot qualify the benefit or hazard of cannabis use, this is the first study to document the prevalence and patterns of cannabis use in a CP/CPPS population. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e439-e440 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Dean Tripp Kingston, Canada More articles by this author J. Curtis Nickel Kingston, Canada More articles by this author Katz Laura Kingston, Canada More articles by this author Jessica V. Ginting Kingston, Canada More articles by this author Ware Mark Montreal, Canada More articles by this author Darcy Santor Ottawa, Canada More articles by this author Expand All Advertisement Advertisement 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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.001

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 head0.013
GPT teacher head0.266
Teacher spread0.253 · 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 designObservational
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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Citations0
Published2012
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