By Jeffrey K. Aronson (Eds.)
The uncomfortable side effects of gear Annual used to be first released in 1977. it's been consistently released considering then, as a each year replace to the voluminous encyclopedia Meyler's negative effects of substances. every one new Annual maintains to supply clinicians and clinical investigators with a competent and demanding each year survey of latest information and traits within the zone of difficult Drug Reactions and Interactions. a world workforce of experts has contributed to the Annuals by means of making a choice on significantly from each one year's writing all that's really new and informative, through significantly analyzing it, and through pointing to no matter what is deceptive. *Provides a severe every year survey of recent info and tendencies *Includes an essay that describes the fashionable method of classifying antagonistic drug reactions *Special studies during this Annual comprise, between different themes: Antipsychotic medicines and now-onset diabetes mellitus, Treating bronchial asthma while pregnant, and MMR vaccine and autism
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Extra resources for A worldwide yearly survey of new data and trends in adverse drug reactions
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Central nervous system stimulants and drugs that suppress appetite Metabolic changes Antioxidant systems were generally preserved in the post-mortem brains of 20 metamfetamine abusers. In the subgroup of abusers with very low dopamine concentrations, there were changes in several antioxidant systems in the caudate. These data suggest that metamfetamine may cause dopamine-related oxidative stress in the brain (29c ). Animal studies also support this view (30RE ). A massive reduction in post-mortem striatal dopamine has also been shown in metamfetamine abusers (31c ).
Safety related drug-labelling changes: findings from two data mining algorithms. Drug Saf 2004;27:735–44. 4. Evans SJ, Waller PC, Davis S. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf 2001;10:483–6. 5. DuMouchel W. Bayesian data mining in large frequency tables, with an application to the FDA Spontaneous Reporting System. Am Stat 1999;53:177–90. 6. Bonacina S, Masseroli M, Pinciroli F. Foreseeing promising bio-medical findings for effective applications of data mining.