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Record W4299382363

Exacerbation heterogeneity in COPD: subgroup analyses from the FLAME study

2018· article· en· W4299382363 on OpenAlexaboutno aff
Vogelmeier CF, Chapman KR, M Miravitlles, N Roche, J Vestbo, C Thach, D Banerji, R Fogel, F Patalano, P Olsson, K Kostikas, Wedzicha JA

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsExacerbationCOPDSubgroup analysisCopd exacerbationMedicineInternal medicineMeta-analysis
DOInot available

Abstract

fetched live from OpenAlex

Claus F Vogelmeier,1 Kenneth R Chapman,2 Marc Miravitlles,3 Nicolas Roche,4 Jørgen Vestbo,5 Chau Thach,6 Donald Banerji,6 Robert Fogel,6 Francesco Patalano,7 Petter Olsson,8 Konstantinos Kostikas,7 Jadwiga A Wedzicha9 1Member of the German Center for Lung Research (DZL), Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-Universität Marburg, Marburg, Germany; 2Asthma and Airway Centre, University Health Network and University of Toronto, Toronto, ON, Canada; 3Pneumology Department, Hospital Universitari Vall d’Hebron, CIBER de Enfermedades Respiratorias (CIBERES), Barcelona, Spain; 4Service de Pneumologie AP-HP, Cochin Hospital, University Paris Descartes (EA2511), Paris, France; 5Institute of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester, UK; 6Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA; 7Novartis Pharma AG, Basel, Switzerland; 8Novartis Sverige AB, Täby, Sweden; 9National Heart and Lung Institute, Imperial College London, London, UK Background: The FLAME study compared once-daily indacaterol/glycopyrronium (IND/GLY) 110/50 µg with twice-daily salmeterol/fluticasone (SFC) 50/500 µg in symptomatic patients with moderate to very severe COPD and a history of exacerbations in the previous year. Methods: This prespecified and post hoc subgroup analysis evaluated treatment efficacy on 1) moderate/severe exacerbations according to prior exacerbation history and treatment, and 2) types of exacerbations according to health care resource utilization (HCRU) during 1-year follow-up. Results: IND/GLY reduced the rate of moderate/severe exacerbations versus SFC in patients with a history of 1 exacerbation (rate ratio [RR]: 0.83, 95% CI: 0.75–0.93), ≥2 exacerbations (RR: 0.85, 95% CI: 0.70–1.03) and ≥2 exacerbations or ≥1 hospitalization in the previous year (RR: 0.86, 95% CI: 0.74–1.00). Prolonged time-to-first exacerbation was observed in all the groups according to exacerbation history. Moderate/severe exacerbations decreased with IND/GLY versus SFC, independent of previous treatment. IND/GLY significantly reduced rates of moderate/severe exacerbations treated with antibiotics (RR: 0.79, 95% CI: 0.67–0.93) and systemic corticosteroids and antibiotics (RR: 0.80, 95% CI: 0.70–0.91); rates of exacerbations treated with systemic corticosteroids alone were comparable (RR: 0.99, 95% CI: 0.80–1.22). Conclusion: Overall, IND/GLY demonstrated consistent beneficial effects versus SFC on moderate/severe exacerbations, independent of prior exacerbation history or treatment. The efficacy of IND/GLY on exacerbation prevention was superior to SFC for exacerbations treated with antibiotics with/without systemic corticosteroids and was similar for exacerbations treated with systemic corticosteroids alone. Keywords: indacaterol/glycopyrronium, salmeterol/fluticasone, LABA/LAMA, LABA/ICS

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.015
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.334
GPT teacher head0.591
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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