Immune Response Due to Silica Exposure in Egyptian Phosphate Mines
Bibliographic record
Abstract
Silicosis is the most common occupational lung disease in Egypt where its prevalence rate ranges from 18.5 % to 45.8% among workers exposed to free crystalline silica dust. Despite its high prevalence, there is a lack of enforcement of exposure limits, availability and use of personal protective equipment, and occupational health education programs. These factors led the authors to study this unique working population; to the best of our knowledge, this is the first work that investigates the effect of exposure to crystalline silica on select immune response of exposed Egyptian phosphate miners. The main aims of this study were to investigate the effect of exposure to free crystalline silica on pulmonary function parameters and select immune response of exposed Egyptian phosphate miners. The study involved of three groups: 50 silica-exposed workers with radiological evidence of silicosis, 50 silica-exposed workers without evidence of silicosis, and 50 healthy unexposed subjects. There were significant differences between pulmonary function parameters in exposed groups with and without silicosis, and healthy unexposed control subjects (p<.001) and pulmonary function was significantly correlated with duration of silica exposure. Smoking had an additive effect on reduction of pulmonary function. Average values of C-reactive protein, rheumatoid factor, complement component C3, IgA, IgG, and IgM were significantly higher in the exposed group with silicosis than in the exposed group without silicosis and in healthy unexposed control subjects (p<.001).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".