Aim: To assess the pain and function of acupuncture in patients with nonspecific low back pain (NSLBP).
Design: This is a study protocol for an upcoming, updated systematic review and meta-analysis. We have registered on the PROSPERO platform, and the registration number is CRD42020149647.
Methods: We will identify studies in seven English databases, including Web of Science, Cochrane Library, CINAHL, Physiotherapy Evidence Database, Medline, Embase, and Scopus, and in four Chinese databases, including China National Knowledge Infrastructure (CNKI), China Biology Medicine disc (CBMdisc), Wanfang Database, and VIP database. We will also manually search key journals about acupuncture, the references of identified relevant trials, and the Clinical Trials Registry Platform. Different search strategies of Medical Subject Headings (MeSH) and non-MeSH terms will be applied alone or integrated. We will evaluate methodological quality by adopting Cochrane's risk of bias criteria and perform a meta-analysis using RevMan V.5.4 software.
Results: This study's results will be reported according to the PRISMA checklist and presented at an authoritative scientific conference or an authoritative scientific journal.
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http://dx.doi.org/10.2147/JPR.S362980 | DOI Listing |
Sci Rep
December 2024
School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, Life Sciences Building 85, University Road, Highfield, Southampton, SO17 1BJ, UK.
Osteoarthritis (OA) is a complex disease of cartilage characterised by joint pain, functional limitation, and reduced quality of life with affected joint movement leading to pain and limited mobility. Current methods to diagnose OA are predominantly limited to X-ray, MRI and invasive joint fluid analysis, all of which lack chemical or molecular specificity and are limited to detection of the disease at later stages. A rapid minimally invasive and non-destructive approach to disease diagnosis is a critical unmet need.
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December 2024
Division of Rheumatology, Department of Internal Medicine, Sorlandet Hospital, Kristiansand, Norway.
Axial spondyloarthritis (ax-SpA) causes pain, fatigue, stiffness, loss of physical function, and poor health status, which can influence sexual activity and enjoyment. To explore whether patients with ax-SpA perceive that their health status effects their sexual activity and to identify predictors of these perceived effects on sexual activity after a 5-year follow-up. Data about demographics, disease, medication, health-related quality of life (HRQOL), and sexual quality of life (SQOL) were collected at the baseline and 5-year follow-up.
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December 2024
Clinical Nursing Teaching and Research Section, The Second XiangYa Hospital, Central South University, No139, Renmin Road, Changsha, 410011, China.
Prostate cancer, a common malignancy in older men, often requires laparoscopic radical prostatectomy, considered the gold standard treatment. However, postoperative complications can significantly impact quality of life and psychological well-being. The emergence of mobile internet health management offers a promising approach for accessible and effective post-discharge care.
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December 2024
Department of Anesthesiology, Sichuan Women's and Children's Hospital/Women's and Children's Hospital, Chengdu Medical College, Chengdu, 610000, China.
Intrapartum fever is a common complication in parturients undergoing epidural analgesia (EA), significantly increasing the incidence of maternal and infant complications. This study aims to develop and validate a prediction model for intrapartum fever related to chorioamnionitis (IFTC) in parturients undergoing epidural analgesia. A total of 596 parturients with fever (axillary temperature ≥ 38℃) who received EA from January 2020 to December 2023 were included and randomly assigned to the training set (N = 417) and the validation set (N = 179) according to the ratio of 7:3.
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December 2024
Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran.
Currently, pain assessment using electroencephalogram signals and machine learning methods in clinical studies is of great importance, especially for those who cannot express their pain. Since newborns are among the high-risk group and always experience pain at the beginning of birth, in this research, the severity of newborns has been investigated and evaluated. Other studies related to the annoyance of newborns have used the EEG signal of newborns alone; therefore, in this study, the intensity of newborn pain was measured using the electroencephalogram signal of 107 infants who were stimulated by the heel lance in three levels: no pain, low pain and moderate pain were recorded as a single trial and evaluated.
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