Severity scoring of manganese health effects for categorical regression

Show simple item record Mattison, Donald R. Milton, Brittany Krewski, Daniel Levy, Len Dorman, David C. Aggett, Peter J. Roels, Harry A. Andersen, Melvin E. Karyakina, Nataliya A. Shilnikova, Natalia Ramoju, Siva McGough, Doreen 2016-09-29T19:11:40Z 2016-09-29T19:11:40Z 2016-09-13
dc.identifier.citation Donald R. Mattison, Brittany Milton, Daniel Krewski, Len Levy, David C. Dorman, Peter J. Aggett, Harry A. Roels, Melvin E. Andersen, Nataliya A. Karyakina, Natalia Shilnikova, Siva Ramoju, Doreen McGough, Severity scoring of manganese health effects for categorical regression, NeuroToxicology, Volume 58, January 2017, pp.203-216 en_UK
dc.identifier.issn 0161-813X
dc.description.abstract Characterizing the U-shaped exposure response relationship for manganese (Mn) is necessary for estimating the risk of adverse health from Mn toxicity due to excess or deficiency. Categorical regression has emerged as a powerful tool for exposure-response analysis because of its ability to synthesize relevant information across multiple studies and species into a single integrated analysis of all relevant data. This paper documents the development of a database on Mn toxicity designed to support the application of categorical regression techniques. Specifically, we describe (i) the conduct of a systematic search of the literature on Mn toxicity to gather data appropriate for dose-response assessment; (ii) the establishment of inclusion/exclusion criteria for data to be included in the categorical regression modeling database; (iii) the development of a categorical severity scoring matrix for Mn health effects to permit the inclusion of diverse health outcomes in a single categorical regression analysis using the severity score as the outcome variable; and (iv) the convening of an international expert panel to both review the severity scoring matrix and assign severity scores to health outcomes observed in studies (including case reports, epidemiological investigations, and in vivo experimental studies) selected for inclusion in the categorical regression database. Exposure information including route, concentration, duration, health endpoint(s), and characteristics of the exposed population was abstracted from included studies and stored in a computerized manganese database (MnDB), providing a comprehensive repository of exposure-response information with the ability to support categorical regression modeling of oral exposure data. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Exposure-response assessment en_UK
dc.subject Categorical regression en_UK
dc.subject Database en_UK
dc.subject Manganese toxicity en_UK
dc.title Severity scoring of manganese health effects for categorical regression en_UK
dc.type Article en_UK

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