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Record W2148338562 · doi:10.1183/09031936.00012610

Prioritised research agenda for prevention and control of chronic respiratory diseases

2010· article· en· W2148338562 on OpenAlexfundno aff
Jean Bousquet, Janet Kiley, Eric Bateman, G. Viegi, Ãlvaro A. Cruz, N. Khaltaev, Nassabain Khaled, C Baena-Cagnani, Maurício L. Barreto, Nils Billo, Giorgio Walter Canonica, K. H. Carlsen, Niels H. Chavannes, А. Г. Чучалин, Jeffrey M. Drazen, Leonardo M. Fabbri, Margaret W. Gerbase, Marc Humbert, Guy Joos, Mohammad Reza Masjedi, Sohei Makino, Klaus F. Rabe, Teresa To, Lin-Lin Zhi

Bibliographic record

VenueEuropean Respiratory Journal · 2010
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteMedisinske fakultet, Universitetet i OsloNoguchi Memorial Institute for Medical Research, University of GhanaSydney Medical SchoolUniversity of California, San FranciscoUniversity of Cape TownUniversità degli Studi di Roma Tor VergataHospital for Sick ChildrenShahid Beheshti University of Medical SciencesInternational Union Against Tuberculosis and Lung DiseaseUniversitat de BarcelonaInstitut National de la Santé et de la Recherche MédicaleChinese Medical AssociationUniversity of GhanaConsiglio Nazionale delle RicercheUniversiteit GentLeids Universitair Medisch CentrumUniversiteit LeidenImperial College LondonUniversità degli Studi di GenovaUniversity of WashingtonUniversitair Ziekenhuis GentNational Institutes of HealthCreighton UniversityUniversity of LeicesterUniversitetet i OsloBrigham and Women's Hospital
KeywordsMedicineIntensive care medicineAsthmaPsychological interventionRespiratory systemIntervention (counseling)Disease controlEnvironmental healthNursingInternal medicine

Abstract

fetched live from OpenAlex

The 2008-2013 World Health Organization (WHO) action plan on noncommunicable diseases (NCDs) includes chronic respiratory diseases as one of its four priorities. Major chronic respiratory diseases (CRDs) include asthma and rhinitis, chronic obstructive pulmonary disease, occupational lung diseases, sleep-disordered breathing, pulmonary hypertension, bronchiectiasis and pulmonary interstitial diseases. A billion people suffer from chronic respiratory diseases, the majority being in developing countries. CRDs have major adverse effects on the life and disability of patients. Effective intervention plans can prevent and control CRDs, thus reducing morbidity and mortality. A prioritised research agenda should encapsulate all of these considerations in the frame of the global fight against NCDs. This requires both CRD-targeted interventions and transverse NCD programmes which include CRDs, with emphasis on health promotion and disease prevention.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.371
Teacher spread0.314 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations146
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Respiratory JournalSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207