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  • 1995-1999  (2)
  • 1980-1984
  • 1998  (1)
  • 1996  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    European journal of clinical pharmacology 54 (1998), S. 13-20 
    ISSN: 1432-1041
    Keywords: Key words Adverse events ; phase-I studies
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Medicine
    Notes: Abstract Objective: This report describes all clinical, laboratory and electrocardiographical adverse events detected in healthy volunteers in a phase-I centre over a 10-year period: 54 phase-I studies are involved, including 1015 healthy young volunteers (993 males) who received 1538 treatments (23 different active drugs or placebo) corresponding to 12143 days of follow-up. This updates a similar report published previously in the European Journal ofClinical Pharmacology. Methods: Adverse events were defined as all events noted in case-report forms. Incidence of adverse events was defined as the ratio between the number of adverse events and the number of follow-up days. Severity was rated as death, life-threatening, severe or minor. Incidences or occurrence rates were compared using the Chi-squared test with Yates' correction. Results: The overall incidence of adverse events was 12.8% with a significant difference between active-drug (13.7%) and placebo (7.9%) treatments. There were 1558 adverse events of 110 distinct kinds. Only for three (headache, diarrhoea and dyspepsia) was the incidence superior to 10‰. Most of these adverse events were also observed with placebo. Ninety-seven percentage of adverse events were of minor intensity; forty three (3%) were rated as severe, including nine worrying cases – six malaises with loss of consciousness, one atrial fibrillation, one hyperthyroidism and one bicytopenia. Some of the adverse events were not related to the tested drugs, but to a vagal reaction or to study conditions. There was no death or life-threatening event. The global rate of occurrence was one adverse event per treatment, one and a half per subject and one out of eight follow-up days. No difference in the overall incidence with placebo was observed between the two successive 5-year periods. Conclusions: This report confirms that adverse events in phase I studies are very common, usually of minor intensity and rarely severe; even though exceptional, life-threatening adverse events are possible. Adverse events occuring in phase I are rarely published, leading to lack of information. Thus, authors invite clinical research organization (CROs) and phase-I centres to regularly publicise at least severe adverse events; they also suggest that the life-threatening adverse events reported to health authorities should be publicised, for example by the World Health Organization (WHO).
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 90 (1996), S. 139-159 
    ISSN: 1573-2878
    Keywords: Nonlinear parameter estimation ; associative memory ; adaptive training ; linear associative memory matrix ; weighted cost function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The method of linear associative memory (LAM), a notion from the field of artificial neural nets, has been applied recently in nonlinear parameter estimation. In the LAM method, a model response, nonlinear with respect to the parameters, is approximated linearly by a matrix, which maps inversely from a response vector to a parameter vector. This matrix is determined from a set of initial training parameter vectors and their response vectors, and can be update recursively and adaptively with a pair of newly generated parameter response vectors. The LAM advantage is that it can yield a good estimation of the true parameters from a given observed response, even if the initial training parameter vectors are far from the true values. In this paper, we present a weighted linear associative memory (WLAM) for nonlinear parameter estimation. WLAM improves LAM by taking into account an observed response vector oriented weighting. The basic idea is to weight each pair of parameter response vectors in the cost function such that, if a response vector is closer to the observed one, then this pair plays a more important role in the cost function. This weighting algorithm improves significantly the accuracy of parameter estimation as compared to a LAM without weighting. In addition, we are able to construct the associative memory matrix recursively, while taking the weighting procedure into account, and simultaneously update the ridge parameter α of the cost function further improving the efficiency of the WLAM estimation. These features enable WLAM to be a powerful tool for nonlinear parameter simulation.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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