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Anders H. Riis

Researcher at Aarhus University Hospital

Publications -  121
Citations -  5859

Anders H. Riis is an academic researcher from Aarhus University Hospital. The author has contributed to research in topics: Population & Cohort study. The author has an hindex of 41, co-authored 115 publications receiving 5071 citations. Previous affiliations of Anders H. Riis include Aarhus University.

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Pneumococcal Serotypes and Mortality following Invasive Pneumococcal Disease: A Population-Based Cohort Study

TL;DR: Analyzing population-based data collected over 30 years in more than 18,000 patients with invasive pneumococcal infection, Zitta Harboe and colleagues find specific pneumococCal serotypes to be associated with increased mortality.
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Diabetes, glycemic control, and risk of hospitalization with pneumonia: a population-based case-control study

TL;DR: Type 1 and type 2 diabetes are risk factors for a pneumonia-related hospitalization and poor long-term glycemic control among patients with diabetes clearly increases the risk of hospitalization with pneumonia.
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An internet-based prospective study of body size and time-to-pregnancy

TL;DR: The results confirm previous studies showing reduced fertility in overweight and obese women, and the association between underweight and fecundability varied by parity.
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Nontuberculous pulmonary mycobacteriosis in Denmark: incidence and prognostic factors

TL;DR: NTM disease incidence has remained unchanged in Denmark over the past 12 years and negative prognostic factors include high levels of comorbidity, advanced age, male sex, and M. xenopi.

Diabetes, glycemic control, and risk of hospitalization with pneumonia: a population-based case-control study

TL;DR: In this paper, the authors examined whether diabetes is a risk factor for hospitalization with pneumonia and to assess the impact of A1C level on such risk, using conditional logistic regression to compute relative risk (RR) for pneumonia-related hospitalization among subjects with and without diabetes, controlling for potential confounding factors.