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Enregistrement W2897334710 · doi:10.1111/resp.13425

A letter from ‘O Canada’

2018· letter· en· W2897334710 sur OpenAlexaffabout
Don D. Sin, R. Robert Schellenberg

Notice bibliographique

RevueRespirology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésLegislationIndigenousPoliticsGovernment (linguistics)PopulationLawRevenuePolitical scienceEconomic historyInternational tradeMedicineBusinessHistory

Résumé

récupéré en direct d'OpenAlex

Maybe it's the ‘Trump Effect’ but the once peaceful, tranquil and innocuous ‘O Canada’ is making headlines across the world on a daily basis. On the political front, we have been outwitted and outmanoeuvred by Mexico (according to some political pundits) and have been shut out of the revised North American Free Trade Agreement (NAFTA). This has our Foreign Minister (D.D.S.’s school class mate) Chrystia Freeland scrambling to strike a deal to save NAFTA and prevent it from becoming MUFTA (Mexico-US Free Trade Agreement), which just sounds horribly wrong (Update: On October 1, 2018, the United States, Mexico and Canada have tentatively agreed to an updated NAFTA). Internally, our Prime Minister promised to build a pipeline that would carry bitumen from Alberta to the coast of British Columbia where it will be sold to the highest bidder (i.e. China) to the delight of Albertans but to the chagrin of British Columbians. After years of battles between environmentalists, indigenous groups and pro-business advocates, the courts have sent this back to the drawing board. No such impediments have been encountered by the government in its attempts to make the population less confrontational by introducing the ‘Cannabis Act’, legalizing recreational marijuana use. Potential health concerns cannot compete with revenues from a new ‘sin’ tax. This will make Canada the second country in the world after Uruguay to legalize the use of marijuana for medical and recreational purposes. The legislation is also called the ‘great Canadian Ganja Experiment’, because no one really knows the full societal impact of making ‘weed’ available at a local convenience store. It is hard to believe that the health benefits of marijuana cigarettes would outweigh the potential harm given that the only major difference between tobacco and marijuana cigarettes is the active compound tetrahydro-cannabinol (THC) (as opposed to nicotine in tobacco).1 The epidemiological studies to date have generated mixed results, mostly because of methodological limitations including small sample sizes, short follow-up time, measurement error, confounding by tobacco smoke and assessment of relatively rare adverse outcomes (such as lung cancer and chronic obstructive pulmonary disease, COPD) in young people, who are unlikely to develop these conditions for many years even with heavy exposures. Canada is a relatively small country with about 30 million people (representing approximately 0.5% of the world's population). Yet, it publishes 6% of the world's respiratory research papers each year.2 The most notable areas of excellence are (i) COPD, (ii) sleep apnoea, (iii) cystic fibrosis and (iv) occupational lung diseases where Canadian researchers produce 50–100% more papers than the ‘average’ rate for other OECD (Organization for Economic Cooperation and Development) countries.2 In COPD, for example, Canada has published 20 of the 100 most influential papers over the past 50 years.3 Notably, the most cited original paper in COPD over this time period was published by Hogg et al.,4 which has been cited 1246 times since its original publication in 2004. Some other bright spots in the Canadian Respiratory Research landscape include: (i) CanCOLD (Canadian Chronic Obstructive Lung Disease) and (ii) Allergen. CanCOLD is a population-based cohort of Canadians aged 40 years and older that was established to evaluate the natural history of COPD (from a population perspective). Despite modest funding (a common story in Canada), it has generated new knowledge that has advanced our understanding of COPD including the importance of ‘exacerbation-like’ events in smokers without airflow limitation5 and health status of patients and total airway count on computed tomography (CT) scans in predicting forced expiratory volume in 1 s (FEV1) decline.6 Allergen is part of the Canadian Network Centres of Excellence (NCE) programme and has been funded over the past 14 years to improve the care and outcomes of patients with atopy, allergy and asthma. Allergen launched the Clinical Investigative Centres (CIC) across Canada, which have been hugely successful in evaluating early Phase 2 therapeutic compounds in asthma and the CHILD (Canadian Healthy Infant Longitudinal Development) Cohort, which is studying the clinical and molecular determinants of asthma from birth to adulthood. However, some dark clouds are on the horizon for the respiratory research community in Canada. The share of total funding for respiratory research from the Canadian Institutes of Health Research (CIHR), the major funder for research in Canada, has fallen from 4.5% in the mid-2000s to 2.4% in 2014.7 The number of CIHR-funded postdoctoral fellowships in respiratory sciences has decreased by over 50% over this period of time.7 To address these worrisome trends, Institute of Circulatory and Respiratory Health (ICRH, a branch of CIHR), along with the Canadian Lung Association and many pharmaceutical companies, created the Canadian Respiratory Research Network (CRRN). CRRN was mandated to create a pan-Canadian network of investigators and research platforms to enable innovative, collaborative, respiratory research that will impact patient care, policy and enable high-quality training and career development of a new generation of respiratory researchers. CRRN has been a model of success and has breathed in new life for the Canadian respiratory research community. Since its inception in 2013, CRRN investigators have published more than 200 papers, trained hundreds of graduate students and postdoctoral fellows and created multi-institutional/multidisciplinary collaborations that have led to millions of dollars in new research funding and many ‘world's firsts…’ (e.g. world's first FEV1 decline calculator, world's first micro-simulation modelling of COPD, world's first large-scale demonstration of diagnostic instability of COPD and asthma, etc.).8, 9 The funding for CRRN, regrettably, will end in 2018 owing to strategic decisions by CIHR. Thus, the future of this important network remains uncertain. Despite these challenges, Canada is still one of the leading countries in the world for respiratory research (not to mention one of the most beautiful in the world; figure 1). Canadians are resilient, innovative and resourceful. There is a new generation of respiratory researchers on the horizon (e.g. Leung, Ryerson, Sadatsafavi, Obeidat, Bhutani, Gershon, Smith, etc.), who will carry on the legacy of great Canadian respiratory researchers (e.g. Hogg, Macklem, Slutsky, Pare, O'Byrne, Cockroft and Boulet to name a few). Canada remains ‘strong and free’ and will bring in the next great revolution in respiratory research. D.D.S. has received research funding from AstraZeneca (AZ), Boehringer Ingelheim (BI) and Merck; received honoraria for sitting on advisory boards of AZ, BI, Regeneron, Sanofi-Aventis and Novartis; and for speaking engagements from AZ, BI and Novartis. R.R.S. has received honoraria for advisory boards of CSL Behring, Merck and Sanofi-Aventis, and is a data safety monitoring board member for Boston Scientific and Green Cross Corporation.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,279
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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 Opus0,019
Tête enseignante GPT0,280
Écart entre enseignants0,261 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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