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2024· article· en· W4403047282 on OpenAlexaboutno aff

Bibliographic record

VenueEmergency Medicine News · 2024
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

FigureUpToDate® and Emergency Medicine News are collaborating to present select content synopses on “What's New in Emergency Medicine.” UpToDate is an evidence-based, clinical support resource used worldwide by health care practitioners to make decisions at the point of care. For complete, current “What's New” content or to become a subscriber for full content access, go to www.uptodate.com. “What's New” abstract information is free for all medical professionals. Limited Benefit of Nirmatrelvir-Ritonavir in Non-high-risk Individuals with Mild-to-moderate COVID-19 (May 2024) Although nirmatrelvir-ritonavir reduces COVID-19-associated hospitalization and death in patients at high risk for severe disease, the benefit in lower-risk patients is uncertain. The EPIC-SR trial evaluated nirmatrelvir-ritonavir among 1200 outpatients who either had no risk factors for severe disease (and were unvaccinated or vaccinated) or had at least one risk factor but were vaccinated; median age was 42 years, and only five percent were 65 years old or older.1 In the trial, nirmatrelvir-ritonavir did not reduce duration of symptoms, the risk of hospitalization from COVID-19, or all-cause mortality compared with placebo. We continue to suggest against treating patients who are not at high risk for severe disease. Medetomidine Found in United States and Canadian Illicit Fentanyl (May 2024) Medetomidine, an alpha-2 adrenergic receptor agonist used as a veterinary sedative (similar to xylazine), has been found in illicit fentanyl in Philadelphia, Pittsburgh, Chicago, Toronto, and Vancouver.2 Dexmedetomidine is the main active ingredient in medetomidine. Poisoning with alpha-2 adrenergic receptor agonists can cause sedation, bradycardia, and hypotension. However, it is unclear to what extent these adulterants are contributing to toxicity in patients with opioid overdose and whether naloxone reverses their toxicity compared with the co-used opioid. Opioid adulteration with an alpha-2 adrenergic agonist should be on the differential diagnosis of patients with opioid overdose, but management largely remains administration of opioid reversal antidotes and supportive care. New Guidelines for Cannabinoid Hyperemesis Syndrome (May 2024) Cannabinoid hyperemesis syndrome (CHS) causes severe abdominal pain and vomiting that occurs in a cyclical pattern associated with prolonged, regular cannabis use. Standard antiemetics (e.g., ondansetron, metoclopramide) are typically ineffective. The Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE-4) from the Society for Academic Emergency Medicine suggest using dopamine antagonists such as droperidol or haloperidol in addition to usual care to manage symptoms of CHS in adult patients.3 Capsaicin cream may be used as an adjunct but is often less effective. We agree with these guidelines, but typically reserve capsaicin for second-line therapy. 1. Hammond J, Fountaine RJ, Yunis C, et al. Nirmatrelvir for Vaccinated or Unvaccinated Adult Outpatients with Covid-19. N Engl J Med. 2024;390:1186. 2. Krotulski AJ, Shinefeld J, Moraff C, Wood T, Walton SE, DeBord JS, Denn MT, Quinter AD, Logan BK. (2024) Medetomidine Rapidly Proliferating Across USA—Implicated In Recreational Opioid Drug Supply & Causing Overdose Outbreaks, Center for Forensic Science Research and Education, United States. https://www.cfsre.org/images/content/reports/public_alerts/Public_Alert_Medetomidine_052024.pdf. (Accessed on May 21, 2024). 3. Borgundvaag B, Bellolio F, Miles I, et al. Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE-4): Alcohol use disorder and cannabinoid hyperemesis syndrome management in the emergency department. Acad Emerg Med. 202431:425. Disclaimer: This content is provided for reference purposes only and represents a portion of the UpToDate topic. You may not rely on the content or any information cited here as being applicable to specific patient circumstances. All topics are updated as new evidence becomes available and our peer review process is complete. Subscribe to www.uptodate.com for current content and recommendations.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.926
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0070.003
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.9260.912

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 head0.049
GPT teacher head0.379
Teacher spread0.330 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2024
Admission routes1
Has abstractyes

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