Background: The high-risk human papillomavirus (hrHPV)-based screening recommended by the World Health Organization is expected to lead to worldwide reduction of the cervical cancer burden, but the countries burdened most by cervical cancer also struggle with the costs of transitioning to this approach. Country-specific evaluations are needed to inform policymakers on implementation of hrHPV-based screening for their setting. Following initial implementation in Uganda, Bangladesh and Slovakia focused on underscreened women in the PRESCRIP-TEC project, we investigated the potential cost-effectiveness and affordability of hrHPV-based screening strategies.
View Article and Find Full Text PDFIsolated REM sleep behavior disorder (iRBD) is a prodrome of α-synucleinopathies like Parkinson's disease (PD) and dementia with Lewy bodies (DLB). The best marker for prediction of lead time to phenoconversion is reduced striatal dopamine transporter (DaT)-binding, unavailable for most patients. This study investigated EEG alpha peak frequency (APF) slowing - an established marker of cognitive deterioration - as a severity marker in iRBD patients.
View Article and Find Full Text PDF: The combination therapy for acute bronchitis with several plant extracts, such as Ivy and Thyme or Primrose and Thyme, is assumed to offer added benefit over single extract preparations. However, no clinical trials have yet demonstrated such a therapeutic advantage. : In this three-arm, open-label, randomized clinical trial, patients with acute bronchitis were assigned to groups receiving Ivy extract EA 575 (Prospan Cough Drops), Ivy/Thyme extract combination (Bronchipret Drops), or Thyme/Primrose extract combination (Bronchicum Drops) according to their respective labels.
View Article and Find Full Text PDFIntroduction: Artificial intelligence (AI) is increasingly being researched and developed in the medical field and holds the potential to transform healthcare after successful implementation. For patients with colorectal cancer liver metastases (CRLM), many AI models have been developed, but knowledge about translation of these models in the clinical workflow is lacking. Therefore, this systematic review aimed to provide a contemporary overview of the current maturity status of AI models for patients with CRLM.
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