Alpha-1-antitrypsin deficiency targeted testing and augmentation therapy: A Canadian Thoracic Society meta-analysis and clinical practice guideline
Bibliographic record
Abstract
Alpha-1-Antitrypsin (A1AT) deficiency is a common hereditary disorder associated with increased risk of developing chronic obstructive pulmonary disease (COPD). Many individuals with severe A1AT deficiency go undiagnosed, or are diagnosed late, and fail to benefit from disease-specific counseling and modifying care. Since the 2012 Canadian Thoracic Society (CTS) A1AT deficiency clinical practice guideline, new approaches to optimal diagnosis using modern genetic testing and studies of A1AT augmentation therapy have been published. We performed a systematic review and meta-analysis, which along with expert clinical input, informed recommendations. We conditionally recommend testing for A1AT deficiency in all individuals with COPD at the time of diagnosis, individuals with adult-onset asthma with persistent airway obstruction, and individuals with unexplained bronchiectasis. We suggest genetic testing with DNA sequencing of SERPINA1 gene as the initial test for individuals with high clinical suspicion for A1AT deficiency, and initial measurement of serum A1AT levels in individuals with moderate clinical suspicion of A1AT deficiency, followed by genetic testing with DNA sequencing of SERPINA1 gene if A1AT level is <23 μmol/L (<1.2 g/L). Following identification of an abnormal gene for A1AT in individuals, whether heterozygote or homozygote, we suggest first-degree relatives be provided genetic counseling and offered testing for A1AT deficiency. The panel conditionally recommends A1AT augmentation therapy to non-smoking or ex-smoking patients with COPD (FEV1 < 80% predicted; associated with emphysema), with documented deficiency genotypes and severely reduced A1AT level (< 11 μmol/L or < 0.57 g/L) in addition to receiving optimal pharmacological and nonpharmacological therapies for COPD.
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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 | 0.038 | 0.107 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.020 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".