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📘 ProMeta Spotlight | 16 December 2025 | #6828

Introduction (Brief):
This meta-analysis of longitudinal studies evaluates the arrhythmic risk associated with mitral valve prolapse (MVP) complicated by mitral annular disjunction (MAD). Although MVP is frequently considered a benign condition, accumulating evidence suggests that the presence of MAD identifies a subgroup with heightened susceptibility to malignant ventricular arrhythmias. By synthesizing long-term follow-up data, this study clarifies the prognostic significance of MAD within MVP populations.

✍️ Meta-Analysis Details:
Title: Arrhythmic Risk in Mitral Valve Prolapse with Mitral Annular Disjunction: Meta-analysis of Longitudinal Studies
Authors: Salvatore Chianese, Leopoldo Ordine, Daniela Pacella, Grazia Canciello, Salvatore Di Napoli, Raffaella Lombardi, Giovanni Esposito & Maria Angela Losi
Publication Date: 16 December 2025
Journal: Scientific Reports (Open Access; Peer-reviewed)
Article Type: Meta-analysis of Longitudinal Studies
Received: 04 August 2025
Accepted: 09 December 2025
Sections: Introduction, Methods, Results, Discussion, Limitations, Conclusion
Features: Cardiac imaging markers, longitudinal follow-up, ventricular arrhythmic outcomes, risk stratification focus

🔗 Access Link / DOI:
https://doi.org/10.1038/s41598-025-32285-3

🔍 Key Findings:
• MVP patients with mitral annular disjunction had a significantly higher risk of ventricular arrhythmic events compared with MVP patients without MAD.
• The association remained robust across long-term follow-up, supporting MAD as an independent prognostic marker.
• Greater MAD extent and coexisting myocardial abnormalities were associated with incrementally higher arrhythmic risk.
• Considerable heterogeneity across studies highlights the need for standardized imaging definitions and outcome reporting.

🌟 Why it Matters:
Accurate identification of high-risk MVP phenotypes is essential for preventing sudden cardiac events. This meta-analysis reinforces MAD as a clinically meaningful marker of arrhythmic vulnerability, with direct implications for surveillance strategies, advanced imaging use, and individualized risk assessment in cardiology practice.

🚀 Call-to-Action:
Cardiologists and cardiac imaging specialists should consider routine evaluation of mitral annular disjunction in patients with MVP. Future research should prioritize standardized MAD measurement criteria, prospective validation, and assessment of targeted preventive interventions for high-risk subgroups.

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📘 ProMeta Spotlight | 15 December 2025 | #6825

Introduction (Brief):
This systematic review and meta-analysis compares pharmacological and non-pharmacological interventions for managing Relative Energy Deficiency in Sport (RED-S). RED-S is a multifactorial syndrome affecting metabolic, hormonal, psychological, and performance outcomes in athletes. Despite increasing awareness, optimal management strategies remain debated. This study synthesizes current evidence to clarify which therapeutic approaches provide the greatest and most sustainable benefit.

✍️ Meta-Analysis Details:
Title: Pharmacological vs. Non-Pharmacological Treatment in the Management of Relative Energy Deficiency in Sport (RED-S): A Systematic Review and Meta-Analysis
Authors: Aimee Nicole Wood & Andrew Soundy
Publication Date: 15 December 2025
Journal: Sports (Open Access; Peer-reviewed)
Volume & Issue: 13(12), Article 453
Article Type: Systematic Review & Meta-analysis
Received: 3 November 2025
Revised: 2 December 2025
Accepted: 8 December 2025
Sections: Introduction, Methods, Results, Discussion, Limitations, Conclusion
Features: Athlete health focus, treatment modality comparison, physiological and performance outcomes

🔗 Access Link / DOI:
https://doi.org/10.3390/sports13120453

🔍 Key Findings:
• Non-pharmacological strategies—particularly nutritional rehabilitation and training load modification—were central to effective RED-S recovery.
• Pharmacological treatments demonstrated limited effectiveness when used in isolation and were primarily supportive rather than curative.
• Multidisciplinary interventions integrating nutrition, behavioral support, and exercise management yielded the most consistent improvements.
• Addressing the underlying energy imbalance was more effective than symptom-focused medication approaches.

🌟 Why it Matters:
If inadequately managed, RED-S can compromise athletic performance, bone health, endocrine function, and long-term well-being. This meta-analysis reinforces that sustainable recovery depends on restoring energy availability rather than relying on pharmacological symptom control. The findings support a paradigm shift toward holistic, athlete-centered care.

🚀 Call-to-Action:
Sports medicine clinicians, dietitians, and performance teams should prioritize non-pharmacological, energy-restorative strategies as first-line treatment for RED-S. Future research should aim to standardize intervention protocols, evaluate s*x- and sport-specific responses, and assess long-term health and performance outcomes.

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📘 ProMeta Spotlight | 14 December 2025 | #6821

Introduction (Brief):
This systematic review and meta-analysis examines the influence of social support on suicidal ideation in older adults. As global populations age, identifying protective psychosocial factors is critical for safeguarding mental well-being in later life. By synthesizing evidence across diverse cultural and clinical contexts, this study clarifies how different forms of social support relate to reduced suicide-related risk in older populations.

✍️ Meta-Analysis Details:
Title: Influence of Social Support on Suicidal Ideation in Older Adults: A Systematic Review and Meta-analysis
Authors: Xinyu Wan, Xuehan Ma, Gengxin Yao, Yiran Xu, Yali Yang, Lishuang Zheng, Xin Li, Yiming Qiu, Li Chen & Guichen Li
Publication Date: 14 December 2025
Journal: The Gerontologist (Peer-reviewed; Online ahead of print)
Article Type: Systematic Review & Meta-analysis
Sections: Introduction, Methods, Results, Discussion, Limitations, Conclusion
Features: Geriatric mental health focus, psychosocial determinants, subgroup analyses, cross-cultural evidence

🔗 Access Link / DOI:
https://doi.org/10.1093/geront/gnaf302

🔍 Key Findings:
• Higher levels of social support were consistently associated with lower indicators of suicidal ideation among older adults.
• Emotional and perceived support (family ties, companionship, community belonging) showed stronger protective effects than structural support alone.
• Effect sizes varied by cultural setting and measurement instruments, indicating notable heterogeneity across studies.
• The findings reinforce social connectedness as a core protective factor in late-life mental health.

🌟 Why it Matters:
Social isolation and loneliness are increasingly prevalent in aging societies and are strongly linked to adverse mental health outcomes. This meta-analysis provides robust evidence that strengthening social support can reduce suicide-related risk and promote psychological resilience in older adults, supporting a shift toward socially oriented prevention strategies.

🚀 Call-to-Action:
Clinicians, caregivers, and policymakers should prioritize interventions that enhance social connectedness among older adults, including community-based programs, family-inclusive care models, and culturally tailored support initiatives. Future research should focus on standardized social support metrics and intervention trials assessing causal impact.

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📘 ProMeta Spotlight | 13 December 2025 | #6818

Introduction (Brief):
This systematic review and meta-analysis explores the potential of extremotolerant microbes to address nutrient deficiencies in bioregenerative life support systems (BLSS) designed for deep-space missions. As long-duration space exploration demands autonomous, resilient food and nutrition systems, this study synthesizes current evidence on how highly robust microbial taxa can support nutrient stability, recycling, and food security beyond Earth.

✍️ Meta-Analysis Details:
Title: Meta-analysis of Extremotolerant Microbes to Address Nutrient Deficiencies in Bioregenerative Life Support Systems During Deep-space Missions
Authors: Gabriele Ellena, Arianna Mazzoli, Irina Spacova, Natalie Leys, Sarah Lebeer & Felice Mastroleo
Publication Date: 13 December 2025
Journal: npj Science of Food (Open Access; Early Access)
Article Type: Systematic Review & Meta-analysis
Sections: Introduction, Methods, Results, Discussion, Limitations, Conclusion
Features: Space nutrition focus, microbial resilience under extreme environments, BLSS applications, early-access unedited manuscript

🔗 Access Link / DOI:
https://doi.org/10.1038/s41538-025-00626-1

🔍 Key Findings:
• Extremotolerant microbes demonstrated strong potential to enhance nutrient bioavailability and stability under space-relevant stressors, including radiation, microgravity, and limited resource availability.
• Specific microbial taxa were consistently linked to vitamin biosynthesis, mineral bioaccessibility, and efficient nutrient recycling within closed-loop life support systems.
• Meta-analytic evidence supports their role in sustaining food production and reducing dependence on Earth-based resupply missions.
• Significant heterogeneity across experimental platforms highlights the need for standardized BLSS validation and testing protocols.

🌟 Why it Matters:
Deep-space missions require highly resilient, self-sustaining biological systems to ensure crew nutrition and survival. Extremotolerant microbes represent a powerful biotechnological solution for maintaining nutrient balance and food system stability in extreme extraterrestrial environments. This analysis strengthens the scientific foundation for integrating microbial biotechnology into future human space exploration.

🚀 Call-to-Action:
Space agencies, astrobiologists, and food-system engineers should prioritize translational research that integrates extremotolerant microbes into BLSS prototypes. Future studies should emphasize real-space or high-fidelity analog testing, long-term safety assessments, and system-level performance evaluation.

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📘 ProMeta Spotlight | 12 December 2025 | #6815

Introduction (Brief):
This systematic review and meta-analysis evaluates the persuasive capacity of large language models (LLMs) across experimental and real-world settings. As AI-generated content becomes embedded in communication, education, marketing, and decision-support systems, assessing whether—and to what extent—LLMs can influence human beliefs, attitudes, and choices is increasingly important. This study synthesizes available evidence to quantify their persuasive effects.

✍️ Meta-Analysis Details:
Title: A Meta-analysis of the Persuasive Power of Large Language Models
Authors: Lukas Hölbling, Sebastian Maier & Stefan Feuerriegel
Publication Date: 12 December 2025
Journal: Scientific Reports (Open Access; Peer-reviewed)

Persistent Identifier: https://doi.org/10.1038/s41598-025-30783-y

Article Type: Systematic Review & Meta-analysis
Received: 22 August 2025
Accepted: 27 November 2025
Sections: Introduction, Methods, Results, Discussion, Limitations, Conclusion
Features: Integration of AI and behavioral science, persuasion effect size estimation, experimental evidence synthesis, ethical considerations

🔍 Key Findings:
• Large language models exhibited a statistically significant and measurable persuasive effect across diverse study designs.
• Persuasive impact varied by task context, prompt framing, and comparator (human-authored vs. AI-generated content).
• Strongest effects were observed in opinion formation and attitude change under controlled experimental conditions.
• Considerable heterogeneity across studies underscored the role of methodological differences and outcome metrics.

🌟 Why it Matters:
As LLMs are increasingly deployed in healthcare communication, education, public discourse, and policy-related domains, their capacity to shape human decision-making presents both promise and risk. Quantifying persuasive influence is essential for informed governance, ethical AI deployment, and the prevention of unintended or harmful manipulation.

🚀 Call-to-Action:
AI researchers, developers, and policymakers should work jointly to establish transparency requirements, ethical safeguards, and monitoring mechanisms for persuasive AI applications. Future research should prioritize real-world settings, vulnerable populations, and the long-term behavioral consequences of sustained exposure to AI-generated persuasion.

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