Smoking cessation treatment for COPD smokers: the role of pharmacological interventions
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".