<p>A Delphi Consensus Document on the Use of Single-Inhaler Fixed-Dose Triple Therapies in COPD Patients</p>
Bibliographic record
Abstract
Introduction: Despite the evidence provided by clinical trials, there are some uncertainties and controversies regarding the use of triple inhaled therapy. With the aim of evaluating clinical practice in specialized respiratory units, a Delphi consensus document was implemented on the use of single-inhaler fixed-dose triple therapies after 1 year of use in Spain. Methods: A scientific committee of COPD experts defined a thematic index, guided a systematic literature review and helped design the Delphi questionnaire. This was sent to the other 45 COPD experts between April and June 2019. Agreement/disagreement on 58 statements was tested in two rounds using a Likert scale. Replies were classified as a consensus when ≥80% of the panelists agreed; a majority when a degree of agreement of ≥66% was reached; and divergence if agreement was <66%. Results: After two rounds, 44.44% of the statements reached consensus, 14.81% reached majority and 40.74% were divergent. Panelists agreed that escalating from double bronchodilation should be phenotype-based and aim to prevent exacerbations but not for improving symptoms. The addition of an antimuscarinic to inhaled corticosteroids combinations achieves improvement in lung function, symptoms and exacerbation prevention. Main safety concerns included the increased risk of pneumonia as compared to bronchodilator therapies, with similar cardiovascular effects. There was no consensus agreement on patient type response based on blood eosinophil counts or obstruction severity. Conclusion: The low degree of consensus among panelists may reflect the complexity of severe COPD management. The information provided here may be useful to clinicians implementing personalized medicine for COPD patients.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.169 | 0.103 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".