Exploring Occupational, Recreational, and Environmental Associations in Patients With Clinically Manifest Cardiac Sarcoidosis
Bibliographic record
Abstract
Background Sarcoidosis is a condition of unknown etiology. A number of occupational, recreational, and environmental exposures have been associated with the development of extra-cardiac sarcoidosis. Patients with clinically manifest cardiac sarcoidosis (CS) have a distinct clinical phenotype. We sought to explore the exposures associated with clinically manifest CS. Methods Two groups of patients were recruited in a prospective registry: cases (patients with clinically manifest CS) and controls (patients without sarcoidosis and who had similar cardiac presentations to cases). A validated survey, previously used in other sarcoidosis phenotypes, was sent to all patients. Results A total of 113 patients met the inclusion criteria and were sent the survey, of whom 79 of 113 (69.9%) completed the survey. We found 3 environmental associations. First, we found a negative association of CS with smoking, with 8 of 43 (18.6%) CS patients being current or ex-smokers compared to 17 of 36 (47.2%) of the controls. Second, we found a positive association with mold exposure, with 21 of 43 (48.8%) CS patients having a prior history of mold exposure compared to 9 of 36 (25.0%) of the controls. After multivariable analysis, there remained significant associations between CS and smoking (odds ratio 0.14 [95% confidence interval 0.04-0.51], P = 0.002) and mold exposure (odds ratio 5.69 [95% confidence interval 1.68-19.25], P = 0.005). Finally, patients with CS and self-reported acne had a significantly longer duration of active acne (7.82 ± 3.97 years) than did control patients 2.67 ± 1.03 years ( P = 0.006). Conclusions We found a negative association between smoking history and the diagnosis of CS. We also found a significant 5-fold increase in mold exposure and a positive association with duration of acne in patients with CS compared to controls.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".