E-cigarettes: What evidence links vaping to acute lung injury and respiratory failure?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On September 18, 2019, the Middlesex-London Health-Unit (London, Canada) reported that a previously healthy, high-school student who had vaped nicotine daily, required hospitalization for life-support and had recovered. A week later, another single case was reported in Montreal, Quebec. These Canadian cases followed published cases of e-cigarette lung toxicity including a recent cluster of 53 patients in Illinois and Wisconsin and a 5 patient-cluster in North Carolina, both published on September 6, 2019. As of October 2019, there have been 26 deaths and 1,299 cases of lung injury linked to e-cigarettes. These reports have created widespread concern among clinicians and the public, creating a need to understand what we know at this point, with the caveat being that there is no clear understanding of the causes of vaping-related lung-toxicity. Most patients were previously healthy teenagers or young-adults with progressive dyspnea, hypoxemia, nausea and tachypnea with no evidence of bacterial infection while reporting recent e-cigarette use with nicotine and/or tetrahydrocannabinol. Chest computed-tomography findings included hypersensitivity-pneumonitis, diffuse alveolar hemorrhage, consolidation and ground-glass opacities. Most patients were treated with corticosteroids and symptoms resolved so that hospital discharge and community-based care could be undertaken. There have been no reports of long-term follow-up in survivors.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it