Radiation exposure by medical X-ray applications.

Background: Radioactive material and ionising radiation play a central role in medical diagnostics and therapy. The benefit of ionising radiation is opposed by the risk of irreparable damage of the human organism. This risk, especially for developing malign neoplasms, has particularly been investigated in the population surviving the atomic bombing of Hiroshima and Nagasaki, but also increasingly in persons with occupational or medical exposure to ionising radiation. Methods: We conducted a systematic search for publications in English and German in relevant databases in March 2016. Retrievals were screened by two independent reviewers. We included examinations using imaging procedures with ionising radiation. The assessment of methodological quality was done concerning representativeness, risk of bias, and further limitations, and reporting quality was assessed using the RECORD checklist. Results: The systematic searches identified seven cross-sectional, one register, and four cohort studies. An increase in collective effective doses analogue to the increase of computed tomography (CT) examinations could be observed. An increased risk of brain tumours in children after exposition to head CT and by an increase of the number of examinations was shown. For children with predisposing factors, an increased risk of tumours of the central nerve system, leukemia, and lymphoma was found. Furthermore, a general risk for malign neoplasms or haemoblastoma, and a specific risk for lymphoma after CT examinations of different parts of the body could be observed. Discussion: Taking into consideration a mostly unclear representativeness of studies and an unclear or high risk of bias as well as lack of comparability due to different research questions, the validity of results is limited. Conclusion: The risk of bias due to a large number of reference sources must be reduced in studies leading to realistic estimates of collective radiation doses. The risk of CT-induced radiation exposure for children should be investigated by further studies with a follow-up of at least ten years.

The budgetary impact of genetic testing for hereditary breast cancer for the statutory health insurance.

Objectives: Potential opportunities and challenges of predictive genetic risk classification of healthy persons are currently discussed. However, the budgetary impact of rising demand is uncertain. This project aims to evaluate budgetary consequences of predictive genetic risk classification for statutory health insurance in Germany.Methods: A Markov model was developed in the form of a cohort simulation. It analyzes a population of female relatives of hereditary breast cancer patients. Mutation carriers are offered intensified screening, women with a BRCA1 or BRCA2 mutation can decide on prophylactic mastectomy and/or ovarectomy. The model considers the following scenarios: (a) steady demand for predictive genetic testing, and (b) rising demand. Most input parameters are based on data of the German Consortium for Hereditary Breast and Ovarian Cancer. The model contains 49 health states, starts in 2015, and runs for 10 years. Prices were evaluated from the perspective of statutory health insurance.Results: Steady demand leads to an expenditure of €49.8 million during the 10-year period. Rising demands lead to additional expenses of €125.5 million. The model reveals the genetic analysis to be the main cost driver while cost savings in treatment costs of breast and ovarian cancer are indicated.Conclusions: The results contribute to close the knowledge gap concerning the budgetary consequences due to genetic risk classification. A rising demand leads to additional costs especially due to costs for genetic analysis. The model indicates budget shifts with cost savings due to breast and ovarian cancer treatment in the scenario of rising demands.

Evidence mapping for decision making: feasibility versus accuracy - when to abandon high sensitivity in electronic searches.

BACKGROUND: Mapping the evidence is a relatively new methodological approach and may be helpful for the development of research questions and decisions about their relevance and priority. However, the amount of data available today leads to challenges for scientists sometimes being confronted with literature searches retrieving over 30,000 results for screening. OBJECTIVES: We conducted an evidence mapping of the topic "diabetes and driving" to investigate its suitability for an evidence-based national clinical guideline. In addition, we compared a highly sensitive search with a highly specific one. METHODS: Based on a systematic review, our database searches were limited to publications from 2002 to present in English and German language. RESULTS: Due to the strongly focused topic and the limits, our sensitive search identified a manageable number of references including sufficient evidence to answer our research question. Using the specific search strategy, we achieved a reduction of citations by 25%, concurrently identifying 88% of relevant references. CONCLUSIONS: Evidence mapping with the intention of gaining an overview of a research field does not require high level accuracy in contrary to systematic reviews. Keeping this distinction in mind, a mass of extraneous information will be avoided by using specific instead of highly sensitive search strategies.

Symptoms of depression and anxiety in youth with type 1 diabetes: A systematic review and meta-analysis.

INTRODUCTION: The interaction between psychosocial factors and type 1 diabetes is complex and screening for psychosocial risk factors from diagnosis of type 1 diabetes has been recommended. This is a systematic review and meta-analysis to address the following questions: (1) How prevalent are symptoms of depression and anxiety in children and adolescents with type 1 diabetes? (2) Is there an association of symptoms of depression and anxiety with diabetes management and glycemic control? MATERIAL AND METHODS: We searched EMBASE, MEDLINE, The Cochrane Library, and PsycINFO in April 2014 with an update in May 2015. When possible, data were pooled to estimate summary effects. RESULTS: 14 studies investigated symptoms of depression and anxiety in children and adolescents with type 1 diabetes. The pooled prevalence of depressive symptoms was 30.04%, 95% CI [16.33; 43.74]. There were correlations between symptom levels and glycemic control as well as three-way interactions between HbA1c, blood glucose monitoring frequency or diabetes-specific stress and depression. Symptoms of anxiety were reported for up to 32% of patients. A negative impact on glycemic control was demonstrated. CONCLUSIONS: Our analyses confirmed a high prevalence of symptoms of depression and anxiety in youth with type 1 diabetes that potentially compromise diabetes management and glycemic control. In our opinion these findings support recommendations for early screening for psychological comorbidity and regular psychosocial assessment from diagnosis. Future prospective studies are warranted to further explore the interaction of symptoms of depression and anxiety with type 1 diabetes and develop evidence-based treatment models.