Objective: To overview the methodological quality, report quality and evidence quality of the systematic review (SR) of acupuncture for vascular cognitive impairment ( VCI ).
Methods: The SRs regarding acupuncture for VCI were searched in PubMed, Cochrane Library, EMbase, CNKI, SinoMed, Wanfang and VIP databases. The retrieval period was from the establishment of the database to September 24, 2020. The report quality, methodological quality and evidence quality of the included SRs were evaluated by PRISMA statement, the AMSTAR 2 tool and the GRADE system.
Results: A total of 22 SRs were included, including 102 outcome indexes. The methodological quality was generally low, with low scores on items 2, 5, 7, 10, 14, 15 and 16. The report quality was good, with scores ranging from 19 points to 24.5 points. The problems of report quality were mainly reflected in the aspects of structural abstract, program and registration, other analysis and funding sources. The level of outcome indexes of SRs was mostly low or very low, and the main leading factor was limitation, followed by inconsistency and inaccuracy.
Conclusion: Acupuncture for VCI is supported by low quality evidence of evidence-based medicine, but the methodological quality and evidence body quality of relevant SRs are poor, and the standardization is needed to be improved.
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http://dx.doi.org/10.13703/j.0255-2930.20210207-0002 | DOI Listing |
BMC Psychiatry
January 2025
Department of Medical Psychology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Background: Ongoing global crises are forcing an increasing number of people to seek refuge in other countries. Refugees have often experienced multiple potentially traumatic events before and during their flight and are burdened by psychosocial problems in exile. Epidemiological research suggests that many refugees suffer from depression and need psychological care.
View Article and Find Full Text PDFEur J Pediatr
January 2025
Division of Policy Evaluation, Department of Health Policy, Research Institute, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-Ku, Tokyo, 157-8535, Japan.
Purpose: This systematic review analyzes economic evaluations of newborn screening for congenital cytomegalovirus (cCMV) infection to identify key factors influencing cost-effectiveness and differences in methodological approaches.
Methods: Following a pre-registered PROSPERO protocol (CRD42023441587), we conducted a comprehensive literature search across multiple databases on July 4, 2024. The review included both full economic evaluations (cost and outcomes) and partial economic evaluations (cost only).
J Pediatr Nurs
January 2025
Duzce University, Faculty of Health Sciences, Department of Nursing, Duzce, Türkiye. Electronic address:
Background: Anxiety disorders are among the most prevalent mental health conditions in childhood, affecting an estimated 10 % to 20 % of children. Cognitive Behavioral Therapy (CBT) is the most commonly employed treatment for these disorders. This study utilizes a meta-analytic approach to evaluate the effectiveness of CBT interventions in reducing anxiety levels among children diagnosed with anxiety disorders.
View Article and Find Full Text PDFJ Pediatr Nurs
January 2025
University of Newcastle, Australia; Centre for Transformative Nursing, Midwifery, and Health Research: A JBI Centre of Excellence, Australia.
Objective: This review aims to investigate parents' preference for and use of Ibuprofen and Paracetamol in managing and treating children's fevers as well as the factors influencing their decision-making and practices.
Introduction: Parents globally face concern over managing children's fever, seeking relief while ensuring safety, often relying on accessible medications like Paracetamol and Ibuprofen.
Inclusion Criteria: The review included quantitative studies involving parents and caregivers managing fever in children aged 0-17 years.
Eur Respir Rev
January 2025
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Introduction: Numerous studies have characterised trajectories of asthma and allergy in children using machine learning, but with different techniques and mixed findings. The present work aimed to summarise the evidence and critically appraise the methodology.
Methods: 10 databases were searched.
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