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Objectives: Evaluation of the methodological quality of systematic reviews (SRs) on the effectiveness of autologous platelet concentrates as an adjunct to regenerative procedures for the treatment of periodontal defects.
Material And Methods: After a literature screening, eligible SRs were qualitatively assessed using 2 validated instruments: A Measurement Tool to Assess systematic Reviews checklist and Overview Quality Assessment Questionnaire. The characteristics and findings of SRs were also reported.
Results: Ten SRs fulfilled the inclusion criteria and were evaluated. With A MeaSurement Tool to Assess systematic Reviews tool, SRs displayed a generally satisfying quality. Six SRs satisfied ≥8 items of 11 (high-quality score), and 4 were classified of medium quality (score 4-7). Using Overview Quality Assessment Questionnaire instrument, more than half SRs (N = 6) satisfied ≥7 items of 9, resulting to be of high quality; 3 were classified as medium quality (4-6 criteria met); and only 1 of low quality (3 items satisfied). A significant correlation between the results of the 2 questionnaires was found (Spearman's r = 0.915, P = .0005).
Conclusions: SRs considered had an overall high methodological quality. However, some areas were not systematically addressed, like a thorough research strategy or publication bias assessment. Standard guidelines for designing, performing, and reporting SRs should always be followed. The use of platelet concentrates as an adjunct to periodontal surgery procedures may have beneficial effects for the treatment of periodontal defects.
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http://dx.doi.org/10.1016/j.jebdp.2017.04.006 | DOI Listing |
J Med Internet Res
September 2025
Department of Information Systems and Cybersecurity, The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, United States, 1 (210) 458-6300.
Background: Adverse drug reactions (ADR) present significant challenges in health care, where early prevention is vital for effective treatment and patient safety. Traditional supervised learning methods struggle to address heterogeneous health care data due to their unstructured nature, regulatory constraints, and restricted access to sensitive personal identifiable information.
Objective: This review aims to explore the potential of federated learning (FL) combined with natural language processing and large language models (LLMs) to enhance ADR prediction.
J Med Internet Res
September 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Mental and behavioral disorders affect approximately 28% of the adult population in Germany per year, with treatment being provided through a diverse health care system. Yet there are access and capacity problems in outpatient mental health care. One innovation that could help reduce these barriers and improve the current state of care is the use of mobile health (mHealth) apps, known in Germany as Digitale Gesundheitsanwendungen (DiGA).
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Department of Hepatobiliary and Vascular Surgery, First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Background: Primary liver cancer, particularly hepatocellular carcinoma (HCC), poses significant clinical challenges due to late-stage diagnosis, tumor heterogeneity, and rapidly evolving therapeutic strategies. While systematic reviews and meta-analyses are essential for updating clinical guidelines, their labor-intensive nature limits timely evidence synthesis.
Objective: This study proposes an automated literature screening workflow powered by large language models (LLMs) to accelerate evidence synthesis for HCC treatment guidelines.
JMIR Hum Factors
September 2025
Department of Music, Arts and Culture Studies, Centre of Excellence in Music, Mind, Body and Brain, University of Jyväskylä, Seminaarinkatu 15, Jyväskylän yliopisto, Jyväskylä, 40014, Finland, 358 6643034.
Background: Personalized Interactive Music Systems (PIMSs) are emerging as promising devices for enhancing physical activity and exercise outcomes. By leveraging real-time data and adaptive technologies, PIMSs align musical features, such as tempo and genre, with users' physical activity patterns, including frequency and intensity, enhancing their overall experience.
Objective: This exploratory systematic review and meta-analysis evaluates the effectiveness of PIMSs across physical, psychophysical, and affective domains.
JBJS Rev
September 2025
Joondalup Health Campus, Joondalup, Australia.
Background: Postoperative swelling is a common complication after total knee arthroplasty (TKA), associated with pain, limited mobility, and delayed recovery. This study aimed to systematically review the literature on interventions that reduce postoperative swelling, categorized into preoperative, intraoperative, and postoperative phases.
Methods: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant search of PubMed, Medline, Embase, and Cochrane databases was performed for clinical studies evaluating interventions to reduce swelling after primary TKA.