Serum calcitonin negative Medullary thyroid carcinoma

BACKGROUND: Medullary thyroid carcinomas (MTC) constitute about 5 to 7 % of thyroid neoplasms. They originate from parafollicular C cells which produce Calcitonin, a hormone which has an impact on calcium metabolism and represents the biochemical activity of MTC. In rare cases pre-operative serum calcitonin can be negative. CASE PRESENTATION: We report on a 73-year-old female patient with a rare case of a serum calcitonin negative medullary thyroid carcinoma who suffered fulminant post-operative course and died of multiple metastasis. CONCLUSION: This case shows that in very rare cases MTCs do not secrete calcitonin making diagnosis and tumour follow-up difficult. To this date, only few reports describing this combination of circumstances were found in the English literature

Can urban coffee consumption help predict US inflation?

Motivated by the importance of coffee to Americans and the significance of the coffee subsector to the US economy, we pursue three notable innovations. First, we augment the traditional Phillips curve model with the coffee price as a predictor, and show that the resulting model outperforms the traditional variant in both in-sample and out-of-sample predictability of US inflation. Second, we demonstrate the need to account for the inherent statistical features of predictors such as persistence, endogeneity, and conditional heteroskedasticity effects when dealing with US inflation. Consequently, we offer robust illustrations to show that the choice of estimator matters for improved US inflation forecasts. Third, the proposed augmented Phillips curve also outperforms time series models such as autoregressive integrated moving average and the fractionally integrated version for both in-sample and out-of-sample forecasts. Our results show that augmenting the traditional Phillips curve with the urban coffee price will produce better forecast results for US inflation only when the statistical effects are captured in the estimation process. Our results are robust to alternative measures of inflation, different data frequencies, higher order moments, multiple data samples and multiple forecast horizons

Foreign equity portfolio flow and corruption: a cross-country evidence

This study examines the impact of foreign equity portfolio investment on corruption. Employing a large dataset of 44 countries from 2001 to 2015 and three different measures of corruption, our results show that foreign investors from well-governed countries tend to foster public accountability, reduce asymmetry information and corruption. We find empirical evidence that foreign equity portfolio investment interacts with stock market development and central bank transparency to reduce corruption. Our results suggest that stock market development and central bank transparency are regarded as complementary by international portfolio investors. Further analysis indicates that corruption appears more prevalent in countries where domestic investors dominate the stock market. Our results are robust to endogeneity using dynamic generalized methods of moments (GMM). The findings suggest that attracting foreign equity investors reduces corruption, implying significant benefits for portfolio diversification