Background: Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common, chronic sleep disease. As the incidence of OSAHS increases, it has seriously threatened people's health. There have been an increasing number of clinical trials of OSAHS in recent years. However, the clinical trials of OSAHS have heterogeneous outcomes, surrogate outcomes, subjective outcomes, and composite outcomes, as well as the lack of endpoints or patient perspectives. The best method is to develop a core outcomes sets (COSs) for OSAHS's clinical trials.

Methods: The development of COSs of OSAHS will include 5 stages: RESULTS:: The results of our study will be published in a peer-reviewed journal.

Discussion: The development of the COSs of OSAHS will improve the design and operation of OSAHS clinical trials to conform to international standards and ensure the credibility of the outcomes. In addition, this study will involve different stakeholder groups to help ensure that the developed COSs will be suitable and well accepted.

Trial Registration Number: 1544.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447502PMC
http://dx.doi.org/10.1097/MD.0000000000021591DOI Listing

Publication Analysis

Top Keywords

clinical trials
12
obstructive sleep
8
sleep apnea
8
apnea hypopnea
8
hypopnea syndrome
8
trials osahs
8
development coss
8
coss osahs
8
osahs will
8
study will
8

Similar Publications

A pan-tumor review of the role of poly(adenosine diphosphate ribose) polymerase inhibitors.

CA Cancer J Clin

January 2025

Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.

Poly(adenosine diphosphate ribose) polymerase (PARP) inhibitors, such as olaparib, talazoparib, rucaparib, and niraparib, comprise a therapeutic class that targets PARP proteins involved in DNA repair. Cancer cells with homologous recombination repair defects, particularly BRCA alterations, display enhanced sensitivity to these agents because of synthetic lethality induced by PARP inhibitors. These agents have significantly improved survival outcomes across various malignancies, initially gaining regulatory approval in ovarian cancer and subsequently in breast, pancreatic, and prostate cancers in different indications.

View Article and Find Full Text PDF

Background/aims: When conducting a randomised controlled trial in surgery, it is important to consider surgical learning, where surgeons' familiarity with one, or both, of the interventions increases during the trial. If present, learning may compromise trial validity. We demonstrate a statistical investigation into surgical learning within a trial of cleft palate repair.

View Article and Find Full Text PDF

Background: Coronary artery disease (CAD) is a major health problem of atherosclerotic cardiovascular (CV) disease and early intervention is regarded important. Given the proven effect of a lifestyle intervention with nursing telephone counselling and mHealth use in health care, yet the comparisons of both support are lacking, this study is proposed.

Objectives: This study aimed to compare the effects of a coronary artery disease (CAD) support program using a mobile application versus nurse phone advice on exercise amount and physical and psychological outcomes for clients at risk of CAD.

View Article and Find Full Text PDF

Background: High response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings.

Objective: We tested different strategies to improve response rate and reduce nonresponse bias in a national population-based COVID-19 surveillance program in England, United Kingdom.

Methods: Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete a web-based questionnaire and return a swab for SARS-CoV-2 testing.

View Article and Find Full Text PDF

Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.

Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.

Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.

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!