Therapy for Alpha-1 Antitrypsin Deficiency: The Evidence for Efficacy
Bibliographic record
Abstract
Prof McElvaney opened the symposium with a brief overview of the disease history and available treatments to date for alpha-1 antitrypsin deficiency (AATD). He then introduced Dr Reeves, who gave a description of the physiological function of alpha-1 proteinase inhibitor (α1-PI), specifically its effect on neutrophil function in AATD. Dr Parr then discussed the limitations of using forced expiratory volume (FEV1) to observe lung disease progression, and the development and use of measurements of lung density as an alternative. Dr Seersholm followed with a comprehensive overview of recent clinical studies demonstrating the efficacy of α1-PI augmentation therapy. Dr Chapman gave the final presentation that expanded on this by describing the findings of the randomised, placebo-controlled trial of augmentation therapy in α1-PI deficiency (RAPID) study. The meeting objectives were to present the current treatment landscape for AATD-associated emphysema and the role of α1-PI therapy within this.
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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".