MétaCan
Menu
Retour à la cohorte
Enregistrement W2071630376 · doi:10.1126/science.324_1642

The Global Alliance for Chronic Diseases

2009· letter· en· W2071630376 sur OpenAlexaffabout
Abdallah S. Daar, Elizabeth G. Nabel, Stig Pramming, Warwick P. Anderson, Alain Beaudet, De‐Pei Liu, Vishwa Mohan Katoch, Leszek K. Borysiewicz, Roger I. Glass, John I. Bell

Notice bibliographique

RevueScience · 2009
Typeletter
Langueen
DomaineBusiness, Management and Accounting
ThématiqueGlobal Public Health Policies and Epidemiology
Établissements canadiensCanadian Institutes of Health Research
Organismes subventionnairesnon disponible
Mots-clésAllianceMedicineGeographyArchaeology

Résumé

récupéré en direct d'OpenAlex

Approximately 35 million people will die this year from chronic, noncommunicable diseases (CNCDs) worldwide ([ 1 ][1], [ 2 ][2]). CNCDs include cardiovascular disease and stroke, cancer, diabetes, and chronic respiratory diseases. CNCDs account for 60% of all deaths worldwide, of which 80% occur in low- and middle-income countries (LMICs) ([ 3 ][3]). Yet, until now there has been no coordinated effort by major global health research councils to address these specific needs. To this end, we announce a new global health initiative, the Global Alliance for Chronic Diseases (GACD). The first alliance of its kind among government health research councils, the GACD was launched on 15 June 2009 in Seattle, Washington, coincident with the meeting of Heads of International Biomedical Research Organizations. The GACD has a global reach, bringing together an initial formative group of six major national health research councils. These agencies together represent about 80% of all public research funding in the world. Member agencies are Australia's National Health and Medical Research Council; the Canadian Institutes of Health Research; the Chinese Academy of Medical Sciences; the U.K. Medical Research Council; and the U.S. National Institutes of Health, specifically its National Heart, Lung, and Blood Institute and Fogarty International Center. In addition, the Indian Council of Medical Research has been invited to be a Member agency of the Alliance. ![Figure][4] Allies. Global Alliance for Chronic Diseases signatories make the Alliance official [back row, left to right: Depei Liu (China), Warwick Anderson (Australia), Abdallah Daar (University of Toronto), Stig Pramming (Oxford Health Alliance), and Leszek Borysiewicz (United Kingdom); front row, left to right: Elizabeth Nabel (United States) and Alain Beaudet (Canada)]. CREDIT: KEVIN P. CASEY FOR THE GLOBAL ALLIANCE FOR CHRONIC DISEASES The GACD intends to coordinate research activities that address the prevention and treatment of chronic diseases on a global scale ([ 2 ][2]). It will collectively seek to identify common approaches to develop the evidence base needed to guide policy, develop and share best practices for fighting chronic diseases, and foster a sustainable and significant reduction of illness, disability, and death around the world. A significant focus is on the CNCDs in LMICs and among low-income and indigenous populations of the more developed countries to support collaborative, coordinated research on low-cost interventions and to build capacity in research, training, and healthcare delivery. This initial group will expand to involve other research funders, including philanthropic foundations, from around the world with an interest in the Alliance's agenda. Industry has an important role in solving some of these problems, ensuring the public-private aspect of this venture. The World Health Organization (WHO) has joined in an Observer status and, in addition to the Grand Challenges priorities ([ 2 ][2]), GACD will consider the WHO 2008–2013 Action Plan for the Prevention and Control of Noncommunicable Diseases in setting priorities ([ 4 ][5]). The following priorities have been proposed by some GACD founding members, but exact research priorities await further discussion and will develop as the Alliance evolves: prevention of cardiovascular diseases; public health measures for the control of diabetes and obesity; characterization, quantification of risk factors (tobacco and environmental pollution), and development of control measures for chronic obstructive airways disease, cancer, cardiovascular disease and other disorders; and implementation research of interventions to address these and other priorities. A future Alliance research priority is likely to be in the area of mental health. The creation of the GACD brings to fruition a global commitment to urgently increase the resources and attention to CNCDs. With concerted action, many millions of premature deaths can be averted in the decades ahead. 1. [↵][6]”The maladies of affluence,” The Economist (11 August 2007). 2. [↵][7]1. A. S. Daar 2. et al. , Nature 450, 494 (2007). [OpenUrl][8][CrossRef][9][PubMed][10][Web of Science][11] 3. [↵][12]1. A. D. Lopez 2. et al ., Global Burden of Disease and Risk Factors (Oxford Univ. Press and World Bank, Washington, DC, 2006). 4. [↵][13]World Health Organization, 2008–2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases ([www.who.int/nmh/Actionplan-PC-NCD-2008.pdf][14]). [1]: #ref-1 [2]: #ref-2 [3]: #ref-3 [4]: pending:yes [5]: #ref-4 [6]: #xref-ref-1-1 View reference 1 in text [7]: #xref-ref-2-1 View reference 2 in text [8]: {openurl}?query=rft.jtitle%253DNature%26rft.stitle%253DNature%26rft.aulast%253DDaar%26rft.auinit1%253DA.%2BS.%26rft.volume%253D450%26rft.issue%253D7169%26rft.spage%253D494%26rft.epage%253D496%26rft.atitle%253DGrand%2Bchallenges%2Bin%2Bchronic%2Bnon-communicable%2Bdiseases.%26rft_id%253Dinfo%253Adoi%252F10.1038%252F450494a%26rft_id%253Dinfo%253Apmid%252F18033288%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [9]: /lookup/external-ref?access_num=10.1038/450494a&link_type=DOI [10]: /lookup/external-ref?access_num=18033288&link_type=MED&atom=%2Fsci%2F324%2F5935%2F1642.atom [11]: /lookup/external-ref?access_num=000251158500032&link_type=ISI [12]: #xref-ref-3-1 View reference 3 in text [13]: #xref-ref-4-1 View reference 4 in text [14]: http://www.who.int/nmh/Actionplan-PC-NCD-2008.pdf

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,181
Score d'incertitude au seuil0,606

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,016
Méta-épidémiologie (sens strict)0,0020,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0040,005
Études des sciences et des technologies0,0020,002
Communication savante0,0070,005
Science ouverte0,0030,009
Intégrité de la recherche0,0050,009
Charge utile insuffisante (le modèle a refusé de juger)0,1810,154

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 Opus0,031
Tête enseignante GPT0,327
Écart entre enseignants0,296 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations37
Publié2009
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueScienceMême sujetGlobal Public Health Policies and EpidemiologyTravaux en français237 207