Context: Several observational and experimental studies have been conducted to evaluate the effects of pistachio intake on metabolic syndrome (MetS); however, the results are inconsistent.
Objective: This systematic review and meta-analysis were performed on data from randomized controlled trials (RCTs) to determine the effect of pistachio consumption on MetS components.
Data Sources: The PubMed, Scopus, Google Scholar and Web of Science databases were searched from 1986 to 2021.
Study Selection: English-language RCTs on pistachio intake were included that provided outcomes on hypertension, hyperglycemia, hypertriglyceridemia, and high-density lipoprotein (HDL).
Data Extraction: Results are presented as pooled mean differences (MDs) between intervention and control groups with 95%CI reported for each of the components.
Results: Seventeen RCTs including 940 adults met the inclusion criteria for this systematic review and meta-analysis. Pistachio supplementation significantly reduced systolic blood pressure (BP; MD, -2.89 mmHg, 95%CI: -4.11 to -1.67; P < 0.001), triglycerides (MD, -16.76 mg/dL, 95%CI: -16.89 to -16.64; P < 0.001), fasting blood glucose (MD, -3.62 mg/dL, 95%CI: -6.45 to -0.8; P < 0.001,) and increased HDL (MD, 1.43 mg/dL, 95%CI: 1.39 to 1.47; P < 0.001) levels. However, there were not observed considerable changes in waist circumference, diastolic BP, and body mass index.
Conclusion: The results of this research show that pistachio consumption could improve some MetS components, including systolic blood pressure, triglyceride, fasting blood glucose, and HDL levels, without affecting anthropometric indices and diastolic BP.
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http://dx.doi.org/10.1093/nutrit/nuac027 | DOI Listing |
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
J Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Basic and Community Nursing, School of Nursing, Nanjing Medical University, NanJing, China.
Background: Telehealth interventions can effectively support caregivers of people with dementia by providing care and improving their health outcomes. However, to successfully translate research into clinical practice, the content and details of the interventions must be sufficiently reported in published papers.
Objective: This study aims to evaluate the completeness of a telehealth intervention reporting in randomized controlled trials (RCTs) conducted for caregivers of people with dementia.
JMIR Ment Health
January 2025
Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom.
Background: Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.
Objective: This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.
Methods: A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder.
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