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Enregistrement W1595524942 · doi:10.1111/j.1752-699x.2011.00270.x

Smoking kills, quitting heals: the importance of smoking cessation in COPD

2011· letter· en· W1595524942 sur OpenAlexaff
Hye Yun Park, Don D. Sin

Notice bibliographique

RevueThe Clinical Respiratory Journal · 2011
Typeletter
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensUniversity of British ColumbiaSt. Paul's Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineCOPDSmoking cessationChinaLung cancerConsumption (sociology)DiseaseEnvironmental healthInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

We are winning the battle against tobacco in the Western world. Whereas in the early 1960s one in two adults smoked, today fewer than one in five adults are smokers in most industrialised nations 1. We are, however, losing the global war against tobacco because the tobacco epidemic has moved from the West to the East. Since 1960, there has been near tripling in the worldwide consumption of cigarettes, from approximately 2 trillion ‘sticks’ per year to more than 5.7 trillion cigarettes. Every minute, more than 12 million cigarettes are being smoked throughout the world. Regrettably, the worldwide consumption will continue to rise and exceed 6.5 trillion cigarettes by the year 2020, driven largely by China and other emerging nations 2. Nearly 30% of these smokers will develop chronic obstructive pulmonary disease during the course of their lives 3. Of these patients, approximately a third will die from cancer (mostly lung cancer), a third will die from cardiovascular disease (CVD) and the remaining third will die from other causes, most notably respiratory failure and pneumonia 4. This year alone nearly 5 million people will die globally from cigarette-related complications 5. In this issue of the Clinical Respiratory Journal, Godtfredsen and Prescott provide new hope for the 1.2 billion smokers in the world 6. In this comprehensive review, they clearly show that smoking is a modifiable risk factor for morbidity and mortality, and that by quitting early, lives can be saved. There are some important messages in this review that should be highlighted. First, smoking cessation is of proven benefit at any age, but the benefits are greatest for those who stop smoking before the age of 35 years. Second, the cardiovascular system is particularly sensitive to the effects of cigarette smoking. While smoking more than doubles the risk of CVD, quitting smoking reduces the risk by 50% within 1 year of cessation, and by 10–15 years of cessation, the rate of CVD is similar to that of never-smokers. Third, the effects of smoking cessation on the respiratory system are complex. There is clear evidence from the Lung Health Study that smoking cessation modifies the decline in lung function. However, the data on respiratory exacerbations, hospitalisations and mortality are mixed with some demonstrating benefit, while others showing no benefit on these end points. Fourth, although not covered in this review, there is compelling evidence to indicate that smoking cessation reduces lung cancer rates. However, dissimilar to the beneficial effects on the cardiovascular system, the risk of lung cancer in ex-smokers remain persistently elevated, even decades following smoking cessation 4. Overall, quitting smoking reduces total mortality by 42% compared with continued smoking 4. While most clinicians and smokers understand the health benefits of smoking cessation, many continue to smoke. Indeed, In the Western world, nearly three out of four workers intend to quit smoking every year, yet fewer than 5% are able to quit successfully on their own 7, 8. Why is this? The simple answer is that tobacco and more specifically nicotine is highly addictive. When inhaled, nicotine quickly reaches the brain where it binds to nicotinic cholinergic receptors in the ventral tegmental area of the midbrain. This in turn releases dopamine in the nucleus accumbens, inducing ‘pleasure’. Continued smoking over time leads to neuroadaptation and desensitisation of the nicotinic receptors, resulting in tolerance and dependence. Once this occurs, within hours of smoking cessation, smokers develop withdrawal symptoms and craving for cigarettes. This compels many smokers to take up smoking again, especially during times of emotional stress. Thus, for most smokers, ‘will power’ alone cannot effect smoking cessation. Health professionals can, however, provide a pivotal role in helping smokers to achieve permanent cessation. The US Public Health Services recommends that health-care providers use the ‘five As’ to foster smoking cessation: ‘ask’, ‘advise’, ‘assess’, ‘assist’ and ‘arrange’ follow-up 9. First, health professionals should ask all of their patients whether they smoke. If the response is ‘yes’, then the health-care provider should motivate the smoker to quit by advising them of the health benefits of smoking cessation. This should be followed by assessing whether the smoker is interested and committed to smoking cessation. If the smoker is motivated, the health-care provider should assist the smoker to quit by offering behavioural support and pharmacotherapy, if necessary. The most effective pharmacologic agent is varenicline, although it has been associated with nausea, abnormal dreams and even suicidal ideations 10. Alternatives include bupropion and nicotine replacement therapies 8. Finally, close follow-up should be arranged to monitor the progress of the smokers. With this approach, over 20% of smokers will achieve long-term smoking cessation 4. Smoking is a menace worldwide. Although in the Western world, the rates of smoking are decreasing, the rates of smoking are increasing in developing nations 2. As lucidly outlined by Godtfredsen and Prescott, the health benefits of smoking cessation are clear. Health-care professionals have a moral responsibility to identify smokers and assist them in overcoming their addiction to nicotine. By doing so, we can reduce the 5 million smokers who die needlessly every year from their tobacco addiction. The message is unequivocal: smoking kills, but quitting heals.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,290
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0140,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,013
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,135
Tête enseignante GPT0,410
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2011
Routes d'admission1
Résumé présentoui

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