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Record W3185259511

Pharmacological Interventions for Vaping Cessation [Internet]

2021· article· en· W3185259511 on OpenAlexaboutno aff
Sara D. Khangura, Sarah C. McGill

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsElectronic cigaretteNicotineEnvironmental healthMedicineSmoking cessationPsychological interventionTobacco smokeSmokeBusinessPsychiatryWaste managementEngineeringPathology
DOInot available

Abstract

fetched live from OpenAlex

Vaping is the use of an electronic device that heats a liquid substance which produces aerosol vapour and is then inhaled and exhaled by the user. Often (but not always) the liquid and its aerosol vapour contain nictorine,; in these cases, the devices are termed electronic nicotine delivery systems (ENDS).– The use of vaping devices is generally described as a smoking cessation aid for use in the short term only,,–; that is, ENDS and other vaping products are neither recommended for people who do not smoke nor for long-term use in people who smoke and are trying to quit.,Nonetheless, the use of ENDS is increasing rapidly across the world,, particularly among adolescents and younger adults.,,,– Whereas the use of ENDS products in adults generally follows their use of combustible tobacco products (i.e., often used as a cessation aid), use of ENDS products in children, youth, and younger adults often begins before the use of combustible tobacco products, causing concern that ENDS and other vaping products may serve as a “gateway” to the use of combustible tobacco products — especially in younger populations.,,,There is currently limited evidence describing the health effects of ENDS and other vaping products — particularly given the wide variety of available ENDS products — including a lack of data describing associated morbidity and mortality. However, a growing body of literature describes the risk of e-cigarette or vaping-associated lung injury that can be caused by ENDS devices.,– In addition, there is the risk of toxicity and/or adverse reactions that can be caused by the aerosol vapour, particularly in children and youth., Concerns have also been raised about the insufficiency of current regulatory limitations in place in Canada that govern the distribution, marketing, and use of ENDS.Given the rising use of ENDS and other vaping products, as well as the uncertainty concerning their health effects, there is a need for evidence-based guidance to support vaping cessation. The purpose of this report is to identify and describe evidence-based guidelines to inform the use of pharmacological interventions to support vaping cessation.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0980.014

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 head0.159
GPT teacher head0.431
Teacher spread0.272 · 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
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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