DELTO Study: Delphi Consensus on Long-Term Textbook Outcome After Metabolic Bariatric Surgery.

Background: This study aimed to create a comprehensive Core Outcome Set (COS) for assessing the long-term outcome (≥ 5 years) after Metabolic Bariatric Surgery (MBS), through the use of the Delphi method.

Methods: The study utilized a three-phase approach. In Phase 1, a long list of items was identified through a literature review and expert input, forming the basis for an online Delphi survey.

Impact of Antithrombotic Therapy on Thrombotic and Bleeding Complications after Elective Endovascular Repair of Abdominal Aortic Aneurysms.

Purpose: To investigate the influence of antithrombotic therapy on occurrence of thrombotic and bleeding complications after endovascular aneurysm repair (EVAR).

Methods: In this retrospective single-center cohort study, patients who underwent elective endovascular aneurysm repair for abdominal aortic aneurysm were categorized into three antithrombotic groups: single antiplatelet therapy (SAPT), anticoagulants, or dual antiplatelet therapy (DAPT). Outcome measures were the incidence of major adverse cardiovascular events (MACE), prosthetic limb occlusions, and bleeding complications during follow-up.

Pulsed-Current Operation Enhances HO Production on a Boron-Doped Diamond Mesh Anode in a Zero-Gap PEM Electrolyzer.

A niobium (Nb) mesh electrode was coated with boron-doped diamond (BDD) using chemical vapor deposition in a custom-built hot-filament reactor. The BDD-functionalized mesh was tested in a zero-gap electrolysis configuration and evaluated for the anodic formation of HO by selective oxidation of water, including the analysis of the effects on Faradaic efficiency towards HO (FEH2O2) induced by pulsed electrolysis. A low electrolyte flow rate (V⋅) was found to result in a relatively high concentration of HO in single-pass electrolysis experiments.

Fast and accurate deep learning scans for signatures of natural selection in genomes using FASTER-NN.

Deep learning classification models based on Convolutional Neural Networks (CNNs) are increasingly used in population genetic inference for detecting signatures of natural selection. Prevailing detection methods treat the design of the classifier as a discrete phase, assuming that high classification accuracy is the sole prerequisite for precise detection. This frequently steers method development toward classification-driven optimizations that can inadvertently impede detection.

The effect of active exoskeleton support with different lumbar-to-hip support ratios on spinal musculoskeletal loading and lumbar kinematics during lifting.

While active back-support exoskeletons can reduce mechanical loading of the spine, current designs include only one pair of actuated hip joints combined with a rigid structure between the pelvis and trunk attachments, restricting lumbar flexion and consequently intended lifting behavior. This study presents a novel active exoskeleton including actuated lumbar and hip joints as well as subject-specific exoskeleton control based on a real-time active low-back moment estimation. We evaluated the effect of exoskeleton support with different lumbar-to-hip (L/H) support ratios on spine loading, lumbar kinematics, and back muscle electromyography (EMG).

Malaria survey data and geospatial suitability mapping for understanding spatial and temporal variations of risk across Kenya.

Malaria remains a public health concern in Kenya where children and pregnant women are vulnerable groups. The common interventions in place to fight malaria include using insecticide-treated bed nets (ITNs), knowledge and awareness about malaria, and intake of malaria anti-malaria drugs. Despite the availability of these interventions, Kenya still records more than 10,000 clinical cases annually.

Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data.

Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported app data to assess clinical improvement among tinnitus patients undergoing treatment. App data from a multi-center randomized clinical trial were analysed using time-series feature extraction and nested cross-validated ordinal regression with elastic net regulation to predict clinical improvement based on the Clinical Global Impression-Improvement scale (CGI-I).

Working toward Personalized Intervention Advice: A Survey Study on Preference Heterogeneity in Patients with Breast Cancer-Related Fatigue.

Unlabelled: Many breast cancer survivors experience cancer-related fatigue (CRF), and several interventions to treat CRF are available. One way to tailor intervention advice is based on patient preferences. In this study, we explore preference heterogeneity regarding between-attribute and within-attribute preferences.

The CeHRes Roadmap 2.0: Update of a Holistic Framework for Development, Implementation, and Evaluation of eHealth Technologies.

To ensure that an eHealth technology fits with its intended users, other stakeholders, and the context within which it will be used, thorough development, implementation, and evaluation processes are necessary. The CeHRes (Centre for eHealth and Wellbeing Research) Roadmap is a framework that can help shape these processes. While it has been successfully used in research and practice, new developments and insights have arisen since the Roadmap's first publication in 2011, not only within the domain of eHealth but also within the different disciplines in which the Roadmap is grounded.

"Salud Mamaria", an internet-based psychoeducational program during the breast cancer diagnosis process: Protocol for a randomized controlled trial.

Background: Some of the key challenges during the breast cancer diagnosis process include a lack of information and negative psychological consequences, such as distress and anxiety about the process. Implementing a psychoeducational program during the diagnosis process may enhance the well-being of women. "" is an Internet-Based Psychoeducational Program (IBPP) that comprises three interventions: A ("Improving Your Health Habits and Self-Care"), B ("Waiting for the Result of Your Biopsy"), and C ("Supporting You After Your Breast Cancer Diagnosis").

No impact of story context and avatar power on performance in a stop-signal game.

This study investigates the impact of gamification on response inhibition in a Stop-Signal Task (SST) and examines participants' gamification experience. The findings reveal that, after accounting for approach- and avoidance-motivation as well as impulsiveness, higher immersion is associated with impaired response inhibition. This effect could be attributed to a substantial decline in immersion between the first and second SST sessions.

Maternal postpartum mental health negatively affects infants' health related quality of life.

Objectives: To assess the association of early and late postpartum maternal mental health with infants' health related quality of life (HRQoL).

Methods: The study was embedded within the POST-UP trial (n = 1843). Infants' HRQoL was assessed with the Infant and Toddler Quality of Life Questionnaire Short Form-47 at ages 1 month (1 m), and 12 m.

Recycled used cooking oil (UCO) as a rejuvenator in high content reclaimed asphalt pavement (RAP) mixes: A life cycle assessment (LCA).

This study investigates the primary data collected at a used cooking oil (UCO) recycling facility to quantify its environmental impact when used as a rejuvenator in high content reclaimed asphalt pavement (RAP) mixes. Annual energy consumption data sets on transportation, storage, filtration, machinery, and purification are assessed using the life cycle assessment (LCA) methodology with the LCA software Simapro 9.4 to evaluate the influential parameters and processes in reducing emissions.

The Impact of Diabetes Mellitus and Metformin Use on Outcomes After Endovascular Aneurysm Repair.

: To study the influence of diabetes mellitus (DM) and metformin treatment on aneurysm sac remodeling after endovascular aneurysm repair (EVAR). : A retrospective single-center cohort analysis was conducted on consecutive patients who underwent elective EVAR for an infrarenal abdominal aortic aneurysm (AAA) between January 2011 and December 2021. Differences between study groups were analyzed and Kaplan-Meier analysis were employed to describe overall and reintervention-free survival.

Global Literature Analysis of Tumor Organoid and Tumor-on-Chip Research.

: Tumor organoid and tumor-on-chip (ToC) platforms replicate aspects of the anatomical and physiological states of tumors. They, therefore, serve as models for investigating tumor microenvironments, metastasis, and immune interactions, especially for precision drug testing. To map the changing research diversity and focus in this field, we performed a quality-controlled text analysis of categorized academic publications and clinical studies.

Comparable performance between automatic and manual laryngeal and hypopharyngeal GTV delineations validated with pathology.

Purpose: Deep learning is a promising approach to increase reproducibility and time-efficiency of GTV delineation in head and neck cancer, but model evaluation primarily relies on manual GTV delineations as reference annotation, which are subjective and tend to overestimate tumor volume. This study aimed to validate a deep learning model for laryngeal and hypopharyngeal GTV segmentation with pathology and to compare its performance with clinicians' manual delineations.

Materials And Methods: A retrospective dataset of 193 laryngeal and hypopharyngeal cancer patients was used to train a deep learning model with clinical GTV delineations as reference.

Human cortical high-gamma power scales with movement rate in healthy participants and stroke survivors.

Motor cortical high-gamma oscillations (60-90 Hz) occur at movement onset and are spatially focused over the contralateral primary motor cortex. Although high-gamma oscillations are widely recognized for their significance in human motor control, their precise function on a cortical level remains elusive. Importantly, their relevance in human stroke pathophysiology is unknown.

The Screening Tomosynthesis Trial with Advanced Reader Methods (STREAM): design and rationale of a population-based breast cancer screening trial.

Objectives: It is uncertain what the effects of introducing digital breast tomosynthesis (DBT) in the Dutch breast cancer screening programme would be on detection, recall, and interval cancers (ICs), while reading times are expected to increase. Therefore, an investigation into the efficiency and cost-effectiveness of DBT screening while optimising reading is required.

Materials And Methods: The Screening Tomosynthesis trial with advanced REAding Methods (STREAM) aims to include 17,275 women (age 50-72 years) eligible for breast cancer screening in the Netherlands for two biennial DBT screening rounds to determine the short-, medium-, and long-term effects and acceptability of DBT screening and identify an optimised strategy for reading DBT.

Considerations to forgo systemic treatment in patients with advanced esophageal or gastric cancer: A real-world evidence study.

The majority of patients with advanced esophageal or gastric cancer do not start palliative systemic treatment. To gain insight into the considerations underlying the decision not to start systemic treatment, we analyzed characteristics of patients starting and not starting systemic treatment, reasons for not starting systemic treatment, and receipt of local palliative treatments on a nationwide scale. Patients diagnosed with advanced esophageal or gastric cancer between 2015 and 2021 were included (n = 10,948).

Device based monitoring in digital care and its impact on hospital service use.

This systematic review examines four themes of device-based remote monitoring (DRM): technology, patient monitoring and support, integration of DRM into clinical care, and patient engagement, and their impact on hospital service use. We included randomized controlled trials (RCTs) until 2024 comparing hospital service use in DRM with usual care. Hospital service use decreased in DRM in 72% of the 116 included RCTs.

Deintensification of Radiotherapy Use in Treatment of Ductal Carcinoma In Situ in the Netherlands-A Nationwide Overview From 2008 Until 2022.

Aims: Ductal Carcinoma In Situ (DCIS) treated by breast-conserving surgery followed by radiotherapy aims to decrease the probability of locally recurrent disease. The role of whole breast irradiation, specifically in DCIS having low recurrence risk and low risk of becoming invasive, is increasingly debated. Also, the added value of applying boost irradiation in DCIS has been questioned.