46 research outputs found

    A Phase 2, Double-Blind, Randomized, Dose-Ranging Trial Of Reldesemtiv In Patients With ALS

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    To evaluate safety, dose response, and preliminary efficacy of reldesemtiv over 12 weeks in patients with amyotrophic lateral sclerosis (ALS). Methods: Patients (≤2 years since diagnosis) with slow upright vital capacity (SVC) of ≥60% were randomized 1:1:1:1 to reldesemtiv 150, 300, or 450 mg twice daily (bid) or placebo; active treatment was 12 weeks with 4-week follow-up. Primary endpoint was change in percent predicted SVC at 12 weeks; secondary measures included ALS Functional Rating Scale-Revised (ALSFRS-R) and muscle strength mega-score. Results: Patients (N = 458) were enrolled; 85% completed 12-week treatment. The primary analysis failed to reach statistical significance (p = 0.11); secondary endpoints showed no statistically significant effects (ALSFRS-R, p = 0.09; muscle strength mega-score, p = 0.31). Post hoc analyses pooling all active reldesemtiv-treated patients compared against placebo showed trends toward benefit in all endpoints (progression rate for SVC, ALSFRS-R, and muscle strength mega-score (nominal p values of 0.10, 0.01 and 0.20 respectively)). Reldesemtiv was well tolerated, with nausea and fatigue being the most common side effects. A dose-dependent decrease in estimated glomerular filtration rate was noted, and transaminase elevations were seen in approximately 5% of patients. Both hepatic and renal abnormalities trended toward resolution after study drug discontinuation. Conclusions: Although the primary efficacy analysis did not demonstrate statistical significance, there were trends favoring reldesemtiv for all three endpoints, with effect sizes generally regarded as clinically important. Tolerability was good; modest hepatic and renal abnormalities were reversible. The impact of reldesemtiv on patients with ALS should be assessed in a pivotal Phase 3 trial. (ClinicalTrials.gov Identifier: NCT03160898)

    Four factors that explain both the rise and fall of US crime, 1970-2003

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    Previous research has failed to explain the rise and fall of US crime since 1970. This study uses cointegration, error correction and common long-memory components analyses to demonstrate that four basic crime factors explaining both the increases in US violent and property crime between 1970 and 1991 and the dramatic declines in crime after 1991. The four factors include arrest rates, income per capita, the proportion of criminal-justice resources devoted to drug crime and alcohol consumption. Error correction models and common long-memory factors show an especially close link between crime rates and the percentage of prison resources devoted to drug offenders. Similar factors result in cointegrated models for murder, rape, robbery, assault and larceny. Additional modelling shows that effective abortion rates computed along the lines of Donohue and Levitt (2001) do not help in explaining the rise and fall of US crime.

    Friedman's Hypothesis and Cross-Regional Inflation Dispersion

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    This study shows that higher inflation is associated with increased inflation dispersion across U.S. cities and regions. Regression analysis indicates that cross-regional inflation variability is positively related to both inflation and inflation expectations based on consumer price inflation for 18 U.S. cities. Similar results are obtained after excluding five of the 18 cities that may be disproportionately impacted by energy shocks. In addition, cointegration analysis shows greater cross-regional price dispersion over time during the higher inflation period of 1978-1987 than during 1988-1997. These findings suggest that high inflation is associated with greater uncertainty for businesses and policy makers

    Friedman's Hypothesis and Cross-Regional Inflation Dispersion

    No full text
    This study shows that higher inflation is associated with increased inflation dispersion across U.S. cities and regions. Regression analysis indicates that cross-regional inflation variability is positively related to both inflation and inflation expectations based on consumer price inflation for 18 U.S. cities. Similar results are obtained after excluding five of the 18 cities that may be disproportionately impacted by energy shocks. In addition, cointegration analysis shows greater cross-regional price dispersion over time during the higher inflation period of 1978-1987 than during 1988-1997. These findings suggest that high inflation is associated with greater uncertainty for businesses and policy makers.urban inflation, Friedman's Hypothesis, cointegration, Financial Economics, E30, E31,
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