Probability of Causation for Lung Cancer After Exposure to Radon Progeny

Chmelevsky, D.; Barclay, David R.; Kellerer, Albrecht M.; Tomášek, Ladislav; Kunz, E; Placek, V.

doi:10.1097/00004032-199407000-00002

Cited by 7 publications

(3 citation statements)

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“…Analysts should test the sensitivity of their PC calculations to use of alternate models, as has been done by Chmelevsky et al (1994). As more is learned about the biology of a particular disease, the underlying model used in estimation of the probability of causation for that disease should be updated.…”

Section: Removing Ambiguities In the Concept Of Causationmentioning

confidence: 99%

The Importance of Specifying the Underlying Biological Model in Estimating The Probability of Causation

Beyea

Greenland²

1999

Health Physics

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There are a number of contexts in which interested parties wish to estimate the probability that an individual's injury was caused by radiation or a toxic chemical. It has been shown, however, that such calculations cannot be made based on epidemiologic data alone, without assumption of a biologic model for the disease process and without a specific definition of causation. To illustrate the relevant theorems, we present a number of examples in which different biologic models produce different values for the probability of causation for individuals from the same population-based epidemiologic data and dose-response curves. As a result of these ambiguities, it is important that anyone attempting to calculate probability of causation for individuals explicitly state the biologic model that has been assumed, as well as state the definition of causation being used. The analyst should test the robustness of the calculations by repeating them for a broad range of underlying biologic models.

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Section: Removing Ambiguities In the Concept Of Causationmentioning

confidence: 99%

The Importance of Specifying the Underlying Biological Model in Estimating The Probability of Causation

Beyea

Greenland²

1999

Health Physics

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“…The question is undecided, and there is even a third answer: if one talks about radon, the most recent exposures are the worst; exposures at young ages are less critical, as the expression times for lung cancer appear to be relatively short and the base rates are low at a young age (Chmelevsky et al 1994;Chmelevsky et al 1995). The question is undecided, and there is even a third answer: if one talks about radon, the most recent exposures are the worst; exposures at young ages are less critical, as the expression times for lung cancer appear to be relatively short and the base rates are low at a young age (Chmelevsky et al 1994;Chmelevsky et al 1995).…”

Section: On the Degree Of Uncertainty In Risk Estimatesmentioning

confidence: 99%

Certainty and Uncertainty in Radiation Research

Kellerer

1995

Health Physics

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“…The undisputed effects of smoking on lung cancer can be multiplied by exposure in the workplace, most prominently to ionizing radiation or asbestos dust [3]. Epidemiological studies have confirmed that lung cancer is increased among uranium miners in the USA [4] and other countries due to ionizing irradiation.…”

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confidence: 99%

Can semi-automated image cytometry on induced sputum become a screening tool for lung cancer?

Marek¹,

Kotschy-Lang²,

Muti³

et al. 2001

Eur Respir J

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The correlations between semi-automated sputum cytometry (ASC), conventional cytology and the final diagnosis was investigated in industrially-exposed workers. Slides of sputum samples from 201 former uranium miners with silicosis, 100 patients with asbestosis, 103 workers resected for lung cancer, and 200 controls (50% smokers), were stained using the Papanicolaou (Pap) method and the Feulgen reaction with thionin. Cytometry was performed using the Cyto-Savant automated system. Atypical nuclei were found in 72 of 404 patient samples, 327 samples were normal and five were inadequate for ASC analysis. Thirteen tumours (Pap IV, Pap V) and 11 cases of severe dysplasia were identified by cytology. Lung cancer was confirmed in 20 patients. Compared to the final diagnosis of lung cancer, the sensitivity of ASC was 75% (15 out of 20) and specificity 89.8% (520 out of 579). The results represent a diagnostic efficiency of 89.3%. The combination of ASC with cytology increased sensitivity to 80% (16 out of 20) without significant loss of specificity (89.7% or 523 out of 581).In this investigation of a limited number of patients with occupational radon or asbestos exposure, semi-automated sputum cytometry appears to be sensitive and reliable for the detection of malignant changes in the tracheobronchial mucosa. Together with conventional cytology, it would be reasonable to test the validity of the combined methods in a large-scale feasibility study of early lung cancer detection. Eur Respir J 2001; 18: 942-950.

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Probability of Causation for Lung Cancer After Exposure to Radon Progeny

Cited by 7 publications

References 0 publications

The Importance of Specifying the Underlying Biological Model in Estimating The Probability of Causation

The Importance of Specifying the Underlying Biological Model in Estimating The Probability of Causation

Certainty and Uncertainty in Radiation Research

Can semi-automated image cytometry on induced sputum become a screening tool for lung cancer?

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