Wood smoke-associated lung disease: a clinical, functional, radiological and pathological description.
Bibliographic record
Abstract
BACKGROUND: Approximately half of the world's population, and up to 90% of households in rural areas of developing countries, depend on biomass for cooking and heating. SETTING: The National Institute of Respiratory Diseases, México City. OBJECTIVE: To describe wood smoke-associated lung disease (WSLD). DESIGN: Description of the clinical, functional and radiological manifestations of patients with WSLD, and a comparison of pathological findings of patients who died of WSLD and smokers who died of chronic bronchitis. RESULTS: All patients with WSLD were non-smoking women with chronic bronchitis, in whom asthma, bronchiectasis, tuberculosis, congestive heart failure, extreme obesity and alfa-1 antitrypsin deficiency had been excluded. All patients used wood for cooking and had been exposed to wood smoke for a median of 45 years. Dyspnoea, airway obstruction, air trapping, increased airway resistance, pathological evidence of anthracosis, chronic bronchitis, centrilobular emphysema and pulmonary hypertension were present in most patients with WSLD. Bronchial squamous metaplasia was a common finding. There were no significant differences in the histopathological findings between patients with WSLD and smokers. Diffuse interstitial fibrosis was absent in all patients. CONCLUSIONS: Patients with WSLD have obstructive lung disease, chronic bronchitis, emphysema and pulmonary hypertension comparable to smokers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".