Systematic review of cost-effectiveness modelling studies for haemophilia.

Aims: Haemophilia is a rare genetic disease that hinders blood clotting. We aimed to review model-based cost-effectiveness analyses (CEAs) of haemophilia treatments, describe the sources of clinical evidence used by these CEAs, summarize the reported cost-effectiveness of different treatment strategies, and assess the quality and risk of bias.

Methods: We conducted a systematic literature review of model-based CEAs of haemophilia treatments by searching databases, the Tufts Medical Center CEA registry, and grey literature.

Assistance systems for patient positioning in radiotherapy practice.

Effective radiotherapy for cancer treatment requires precise and reproducible positioning of patients at linear accelerators. Assistance systems in digitally networked radiotherapy can help involved specialists perform these tasks more efficiently and accurately. This paper analyses patient positioning systems and develops new knowledge by applying the Design Science Research methodology.

Effect of magnetic resonance imaging protocol on decision-making for positioning of dental implants in edentulous cases.

Purpose: This study aimed to assess the influence of magnetic resonance imaging (MRI) protocol on the decision-making for the positioning of dental implants in edentulous arches in comparison to planning based on cone beam computed tomography (CBCT).

Materials And Methods: One phantom was scanned with CBCT and two MRI protocols (T1- and T2-weighted). Two calibrated examiners performed digital implant planning (coDiagnostiX, Dental Wings), considering a digital prosthetic planning and alveolar ridge surface scan.

Reply to comment by Arber C, et al. on: Real-world expenditures and survival time after CAR-T treatment for large B-cell lymphoma in Switzerland.

No abstract available.

Patients with Non-Specific Complaints in Emergency Departments: A Growing Patient Safety Concern in an Aging Population with Multimorbidity.

In this opinion, we offer a new perspective on the important and persistent problem of diagnostic errors for patients with non-specific complaints (NSCs). As an increasing number of complex patients present clinicians with challenging diagnostic work in the time-pressured and high-volume contexts of EDs, we need to improve how clinicians and healthcare organizations can understand and perform safe diagnostics for patients with NSCs. The combination of a growing number of patients with NSCs and the ways in which clinicians use the categories 'non-specific complaints' and 'non-specific diagnosis' in diagnostic work in emergency departments presents a growing patient safety concern especially for older patients with multimorbidity that require the integration of clinical and organizational research.