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Record W7061917556

Shower power: a case report of cannabinoid hyperemesis syndrome

2023· article· en· W7061917556 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsnot available
Fundersnot available
KeywordsVomitingNauseaDiscontinuationCannabisAntiemeticAbdominal pain
DOInot available

Abstract

fetched live from OpenAlex

<p>Cannabis use is becoming more common globally, making it important for physicians to be aware of cannabinoid hyperemesis syndrome (CHS). CHS presents in chronic cannabis users, typically under the age of 50, and entails a severe cyclic nausea and vomiting pattern with abdominal pain but normal bowel habits. Symptoms typically predominate in the morning, are relieved by hot baths or showers, and resolve with discontinuation of cannabis use. This report details a case of a 32-year-old woman who presented to the emergency department at a large Canadian hospital with severe nausea, vomiting and a history of regular use of marijuana cigarettes. In an attempt to alleviate her symptoms she reported taking frequent hot baths and using as many as five marijuana cigarettes per day. The patient’s clinical presentation, chronic daily use of marijuana and relief of symptoms with hot baths led to the diagnosis of CHS. The antiemetic properties of cannabis are widely known in the community, meaning patients may not associate marijuana use with their symptoms. Additionally, cyclic vomiting syndrome is present in many different conditions, making physician awareness of this syndrome crucial. Recognition and diagnosis of this condition can prevent unnecessary, costly diagnostic tests, and provide an opportunity to initiate counselling on cessation. </p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2300.002

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 head0.040
GPT teacher head0.314
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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