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Raviraja A Vishal Babu GN Sehgal A Saper RB Jayawardene I Amarasiriwardena CJ Venkatesh T 《Indian journal of clinical biochemistry : IJCB》2010,25(3):326-329
Ayurveda is a traditional form of medicine used by majority of the Indians. Here we report three cases of lead toxicity, following
intake of Ayurvedic medicines. Three patients presented with blood lead levels (BLLs) of 122.4, 115 and 42.8 μg/dl respectively
at the time of hospitalization. The first case was chelated with D- penicillamine, the second with calcium disodium ethylene
diamino tetra acetate (EDTA) and the third with environmental intervention and education. Associated Ayurvedic products were
collected from patients and analyzed for metallic concentration. Cessation of Ayurvedic medication along with chelation, nutritional
intervention and education, reduced the BLL to 27.4 μg/dl in the first case after 1 year, 21.1 μg/dl after 9 months in the
second and 18.2 μg/dl after 6 months in the third case. 相似文献
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Jon Agley David Tidd Mikyoung Jun Lori Eldridge Yunyu Xiao Steve Sussman Wasantha Jayawardene Daniel Agley Ruth Gassman Stephanie L. Dickinson 《Educational and psychological measurement》2021,81(1):90
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent—but doing so often requires the use of anonymous data collection methods. The standard solution to this problem has been the use of a self-generated identification code. However, such codes often incorporate personalized elements (e.g., birth month, middle initial) that, even when meeting the technical standard for anonymity, may raise concerns among both youth participants and their parents, potentially altering willingness to participate, response quality, or generating outrage. There may be value, therefore, in developing a self-generated identification code and matching approach that not only is technically anonymous but also appears anonymous to a research-naive individual. This article provides a proof of concept for a novel matching approach for school-based longitudinal data collection that potentially accomplishes this goal. 相似文献
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