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Restorative Neurostimulation Therapy Compared to Optimal Medical Management: A Randomized Evaluation (RESTORE) for the Treatment of Chronic Mechanical Low Back Pain due to Multifidus Dysfunction.
Pain Ther
January 2025
Robert Wood Johnson University Hospital/Rutgers Medical School, New Brunswick, NJ, USA.
Introduction: Many interventional strategies are commonly used to treat chronic low back pain (CLBP), though few are specifically intended to target the distinct underlying pathomechanisms causing low back pain. Restorative neurostimulation has been suggested as a specific treatment for mechanical CLBP resulting from multifidus dysfunction. In this randomized controlled trial, we report outcomes from a cohort of patients with CLBP associated with multifidus dysfunction treated with restorative neurostimulation compared to those randomized to a control group receiving optimal medical management (OMM) over 1 year.
View Article and Find Full Text PDFHealth Disparities in Rheumatology in the United States.
Open Access Rheumatol
January 2025
Advocate Health Medical Group, Franklin, WI, USA.
Objective: Underserved populations are often at risk of experiencing systematic healthcare disparities. Existing disparities in care access, quality of care received, and treatment outcomes among patients with rheumatic disease are not well understood.
Methods: We conducted a targeted literature review to understand disparities in health outcomes, treatment patterns, and healthcare management faced by rheumatology patients in the United States, with a focus on rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS).
A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC methodologies and meta-analyses.
Data Brief
February 2025
CREA - Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, I-40128 Bologna, Italy.
Farming practices such as soil tillage, organic/mineral fertilization, irrigation, crop selection and residues management influence multiple ecosystem services provided by agricultural systems. These practices exhibit complex, non-linear interrelationships that affect crop productivity, water quality, and non-carbon dioxide greenhouse gases (GHG) emissions, possibly offsetting their benefits regarding soil organic carbon (SOC) sequestration. Current methodologies from the Intergovernmental Panel on Climate Change (IPCC) for assessing the impacts of alternative farming practices on GHG emissions rely on global or country-specific coefficients.
View Article and Find Full Text PDFEstimating the ovarian cancer CA-125 preclinical detectable phase, in-vivo tumour doubling time, and window for detection in early stage: an exploratory analysis of UKCTOCS.
EBioMedicine
January 2025
MGH Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address:
Background: The ovarian cancer (OC) preclinical detectable phase (PCDP), defined as the interval during which cancer is detectable prior to clinical diagnosis, remains poorly characterised. We report exploratory analyses from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).
Methods: In UKCTOCS between Apr-2001 and Sep-2005, 101,314 postmenopausal women were randomised to no screening (NS) and 50,625 to annual multimodal screening (MMS) (until Dec-2011) using serum CA-125 interpreted by the Risk of Ovarian Cancer Algorithm (ROCA).
Optimal control of agent-based models via surrogate modeling.
PLoS Comput Biol
January 2025
Laboratory for Systems Medicine, Department of Medicine, University of Florida, Gainesville, Florida, United States of America.
This paper describes and validates an algorithm to solve optimal control problems for agent-based models (ABMs). For a given ABM and a given optimal control problem, the algorithm derives a surrogate model, typically lower-dimensional, in the form of a system of ordinary differential equations (ODEs), solves the control problem for the surrogate model, and then transfers it back to the original ABM. It applies to quite general ABMs and offers several options for the ODE structure, depending on what information about the ABM is to be used.
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