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Record W2293248869 · doi:10.4081/monaldi.2013.106

Smoking cessation treatment for COPD smokers: the role of pharmacological interventions

2015· review· en· W2293248869 on OpenAlex
Carlos A. Jiménez-Ruíz, K.O. Fagerström

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMonaldi Archives for Chest Disease · 2015
Typereview
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsCégep Marie-Victorin
Fundersnot available
KeywordsVareniclineBupropionSmoking cessationMedicineCOPDNicotine replacement therapyPharmacotherapyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Because stopping smoking is such a pressing necessity for COPD smokers physicians should use smoking cessation treatments aggressively. For optimal efficacy smoking cessation in COPD smokers should combine behavioral and pharmacological treatments. Three types of pharmacological treatments are proven to be safe and effective: Nicotine Replacement Therapy (NRT), Bupropion and Varenicline. Use of NRT, bupropion or varenicline, single or in combination, at standard doses or at high doses, for 8-12 weeks or for more than 6-12 months have proven to help these patients to quit. For optimizing efficacy these medications can also be introduced some weeks before actual quitting. In COPD smoking patients that are not interested in stopping completely or abruptly these medications can be used to aid cessation in a more gradual way. Pharmacotherapy to aid cessation in COPD smokers have proven to be highly cost effective.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
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)0.0000.000

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 head0.180
GPT teacher head0.434
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