Malignant Pleural Mesothelioma in an Asbestos Industry Worker: A Posthumous Case Report from Haryana, India
Bibliographic record
Abstract
Malignant mesothelioma is an aggressive cancer primarily associated with asbestos exposure, affecting the mesothelial lining of the lungs, abdomen, or heart. Despite global awareness, it remains relatively rare, with an age-standardized incidence of mesothelioma around 3 per million individuals, with Northern Europe exhibiting the highest rates. The occurrence is significantly higher in males compared to females. Malignant pleural mesothelioma (MPM) affects the pleura and often develops after years of asbestos exposure, silently progressing until symptoms appear. MPM predominantly affects men, with cases being more common in industries such as asbestos product manufacturing, construction, demolition, shipbreaking, and mining. In exposed populations, about 7-13 men per million develop the disease annually, while in those without asbestos exposure, it is rarer at 1-2 cases per million. In India, despite widespread asbestos use, mesothelioma cases remain underdiagnosed and underreported, highlighting the importance of a smart occupational health surveillance system.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".