Treatment with peginterferon alfa-2a for 48 weeks, with or without adefovir, resulted in sustained HDV RNA clearance in about one quarter of patients with HDV infection. (Current Controlled Trials number, ISRCTN83587695.).

Key Points• This study is the first to assess prognostic factors in patients with AHA treated according to a uniform immunosuppressive regimen.• Residual factor VIII activity and inhibitor concentration at baseline are potentially useful predictors of remission.Acquired hemophilia A (AHA) is caused by autoantibodies against factor VIII (FVIII).Immunosuppressive treatment (IST) results in remission of disease in 60% to 80% of patients over a period of days to months. IST is associated with frequent adverse events, including infections as a leading cause of death. Predictors of time to remission could help guide IST intensity but have not been established. We analyzed prognostic factors in 102 prospectively enrolled patients treated with a uniform IST protocol. Partial remission (PR; defined as no active bleeding, FVIII restored >50 IU/dL, hemostatic treatment stopped >24 hours) was achieved by 83% of patients after a median of 31 days (range 7-362).Patients with baseline FVIII <1 IU/dL achieved PR less often and later (77%, 43 days) than patients with ‡1 IU/dL (89%, 24 days). After adjustment for other baseline characteristics, low FVIII remained associated with a lower rate of PR (hazard ratio 0.52, 95% confidence interval 0.33-0.81, P < .01). In contrast, PR achieved on steroids alone within £21 days was more common in patients with FVIII ‡1 IU/dL and inhibitor concentration <20 BU/mL (odds ratio 11.2, P < .0001). Low FVIII was also associated with a lower rate of complete remission and decreased survival. In conclusion, presenting FVIII and inhibitor concentration are potentially useful to tailor IST in AHA. (Blood. 2015;125(7):1091-1097

The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.

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In systematic reviews, meta‐analyses are routinely applied to summarize the results of the relevant studies for a specific research question. If one can assume that in all studies the same true effect is estimated, the application of a meta‐analysis with common effect (commonly referred to as fixed‐effect meta‐analysis) is adequate. If between‐study heterogeneity is expected to be present, the method of choice is a meta‐analysis with random effects. The widely used DerSimonian and Laird method for meta‐analyses with random effects has been criticized due to its unfavorable statistical properties, especially in the case of very few studies. A working group of the Cochrane Collaboration recommended the use of the Knapp‐Hartung method for meta‐analyses with random effects. However, as heterogeneity cannot be reliably estimated if only very few studies are available, the Knapp‐Hartung method, while correctly accounting for the corresponding uncertainty, has very low power. Our aim is to summarize possible methods to perform meaningful evidence syntheses in the situation with only very few (ie, 2‐4) studies. Some general recommendations are provided on which method should be used when. Our recommendations are based on the existing literature on methods for meta‐analysis with very few studies and consensus of the authors. The recommendations are illustrated by 2 examples coming from dossier assessments of the Institute for Quality and Efficiency in Health Care.

Biomarkers are of increasing importance for personalized medicine, with applications including diagnosis, prognosis, and selection of targeted therapies. Their use is extremely diverse, ranging from pharmacodynamics to treatment monitoring. Following a concise review of terminology, we provide examples and current applications of three broad categories of biomarkers—DNA biomarkers, DNA tumor biomarkers, and other general biomarkers. We outline clinical trial phases for identifying and validating diagnostic and prognostic biomarkers. Predictive biomarkers, more generally termed companion diagnostic tests predict treatment response in terms of efficacy and/or safety. We consider suitability of clinical trial designs for predictive biomarkers, including a detailed discussion of validation study designs, with emphasis on interpretation of study results. We specifically discuss the interpretability of treatment effects if a large set of DNA biomarker profiles is available and the number of therapies is identical to the number of different profiles.

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Early and late childhood PTLD have distinct characteristics. Whereas early PTLD appears mainly as an Epstein-Barr virus-driven disease especially favored by insufficient immunosurveillance, late PTLD often resembles tumors with distinct pathogenetic alterations and nodal appearance.