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Record W3109042046 · doi:10.1038/s41533-020-00212-w

Long-term safety of tiotropium/olodaterol in older patients with moderate-to-very-severe COPD in the TONADO® studies

2020· article· en· W3109042046 on OpenAlexaff
Gary T. Ferguson, François Maltais, Jill P. Karpel, Ulrich Bothner, Isabel M. Kloer, Matthias Trampisch, Roland Buhl

Bibliographic record

Venuenpj Primary Care Respiratory Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
FundersBoehringer Ingelheim
KeywordsMedicineCOPDTiotropium bromideAdverse effectInternal medicineDiabetes mellitusSafety profilePulmonary diseaseRandomized controlled trialAnesthesiaLung functionEndocrinologyLung

Abstract

fetched live from OpenAlex

Older patients with chronic obstructive pulmonary disease (COPD) may be at increased risk of adverse events (AEs) due to decreased protective organ function and increased comorbidities. TONADO® 1 + 2 were replicate, randomized, double-blind, parallel-group, 52-week, Phase III trials comparing the efficacy and safety of tiotropium/olodaterol (5/5 µg) versus the monocomponents via the Respimat® inhaler in patients with moderate-to-very-severe COPD. In this prespecified safety analysis, patients were grouped by age. Of 3100 patients, 1585 (51.1%) were aged <65 years, 1198 (38.7%) 65-<75 years, 309 (10.0%) 75-<85 years, and eight (0.3%) ≥85 years. At baseline, 23.4% had a pre-existing cardiac disorder, 45.6% had hypertension, and 13.3% had glucose metabolism disorders, including diagnosed diabetes. Overall, there was no increase in major adverse cardiac events, other AEs, or serious AEs with tiotropium/olodaterol versus the monocomponents in any age group, supporting the safety of tiotropium/olodaterol in older patients with COPD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.306
Teacher spread0.277 · 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.

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

Citations3
Published2020
Admission routes1
Has abstractyes

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