Purpose Of Review: There has been a need for an acceptable common minimum data set in the scientific literature as regards the surgical treatment of female stress urinary incontinence (SUI). Such a data set, if widely adopted, would improve the quality of the literature and allow objective comparisons between and across interventions.

Recent Findings: The surgical treatment of female stress urinary incontinence has evolved considerably over the past few decades. The corresponding body of literature has grown exponentially describing the outcomes of hundreds of studies of these novel interventions. However, historically, the literature in this space has been of uneven quality. In order to improve the reporting of clinical studies, and ultimately patient outcomes, a standard minimum data set for trial design and publications was created by a collaborative group formed from leading scientific societies.

Summary: The consensus document created from this novel collaboration between members of SUFU (Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction), AUGS (American Urogynecologic Society), and ICS (International Continence Society) provides clear guidance for the structure of clinical studies and reporting of results in the peer-reviewed literature. This has substantial potential ramifications for scientific journals, journal editors, peer reviewers, investigators, regulatory agencies, industry, clinicians, and patients.

Download full-text PDF

Source
http://dx.doi.org/10.1097/MOU.0000000000001210DOI Listing

Publication Analysis

Top Keywords

data set
16
minimum data
12
female stress
12
stress urinary
12
urinary incontinence
12
surgical treatment
8
treatment female
8
clinical studies
8
literature
6
set
4

Similar Publications

This work provides a statistical analysis of four different approaches suggested in the literature for the estimation of an unknown concentration based on data collected using the standard addition method. These approaches are the conventional extrapolation approach, the interpolation approach, inverse regression, and the normalization approach. These methods are compared under the assumption that the measurement errors are normally distributed and homoscedastic.

View Article and Find Full Text PDF

Unlabelled: Testing for the causative agent of coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been crucial in tracking disease spread and informing public health decisions. Wastewater-based epidemiology has helped to alleviate some of the strain of testing through broader, population-level surveillance, and has been applied widely on college campuses. However, questions remain about the impact of various sampling methods, target types, environmental factors, and infrastructure variables on SARS-CoV-2 detection.

View Article and Find Full Text PDF

Tobramycin dosing in patients with cystic fibrosis (CF) is challenged by its high pharmacokinetic (PK) variability and narrow therapeutic window. Doses are typically individualized using two-sample log-linear regression (LLR) to quantify the area under the concentration-time curve (AUC). Bayesian model-informed precision dosing (MIPD) may allow dose individualization with fewer samples; however, the relative performance of these methods is unknown.

View Article and Find Full Text PDF

Objective: To determine the financial impact of Ehlers-Danlos syndromes (EDS) on patients in the United States by examining the medical expenses incurred by patients.

Patients And Methods: We used a convenience sample approach and disseminated a self-reported survey questionnaire to individuals with EDS via patient advocacy organizations and support groups across the country, social media, and health professionals from April 1, 2023, to December 31, 2023. The survey focused on the out-of-pocket medical expenses incurred by patients.

View Article and Find Full Text PDF

Background: Integrated Counselling and Testing Centre (ICTC) diagnose HIV and STIs early, modifies behavior, reduces vulnerability, and data helps in understanding transmission. Despite having low HIV prevalence, Jharkhand is vulnerable. Post Covid19, HIV has increased.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!