Lung disease mortality in a cohort of Staffordshire pottery workers: follow-up to December 2008
Bibliographic record
Abstract
<h3>Objectives</h3> To investigate deaths recorded as lung cancer or COPD (as distinct from other non-malignant respiratory disease), in a cohort occupationally exposed to silica. <h3>Methods</h3> Vital status and cause of death were ascertained for a cohort of 5115 pottery workers previously followed to 1992. SMRs were calculated for underlying cause of death 1985–2008 compared to reference data from Stoke on Trent. Analysis of ‘mentioned’ cause of death was restricted to 1993–2008. Information on duration of employment and smoking was available for the whole cohort but exposure data were restricted to those included in an earlier validation cohort and those who were still employed in 1981 or later. <h3>Results</h3> Of 5115 in the original cohort, 27 were duplicates, 29 were not traced and 258 had died before 1985, leaving 4801, with 1904 deaths. Deaths from lung cancer (N=243) were raised SMR=1.15 (1.01–1.30) as were deaths from COPD (N=158) both as an underlying (SMR=1.46 (1.24–1.71)) and as a ‘mentioned’ (SMR=1.31 (1.14–1.50)) cause. In a survival analysis duration of exposure was not related to deaths recorded as lung cancer or COPD for the cohort as a whole. In those (N=1943) with exposure data, early deaths (before July 1992) from either lung cancer or COPD were related to mean exposure in smokers but this relation was not seen in those dying from these causes in more recent years. <h3>Conclusions</h3> Silica exposure appears to have contributed to early, but not recent, deaths although an excess of COPD deaths continues to be recorded.
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 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 | 0.000 | 0.000 |
| 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) | 0.002 | 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 teacher head, 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".