Background: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension statement for network meta-analysis (NMA) published in 2015 promotes comprehensive reporting in published systematic reviews with NMA. PRISMA-NMA includes 32 items: 27 core items as indicated in the 2009 PRISMA Statement and five items specific to the reporting of NMAs. Although NMA reporting is improving, it is unclear whether PRISMA-NMA has accelerated this improvement. We aimed to investigate the impact of PRISMA-NMA and highlight key items that require attention and improvement. Methods: We updated our previous collection of NMAs with articles published between April 2015 and July 2018. We assessed the completeness of reporting for each NMA, including main manuscript and online supplements, using the PRISMA-NMA checklist. The PRISMA-NMA checklist originally includes 32 total items (i.e. a 32-point scale original PRISMA-NMA score). We also prepared a modified version of the PRISMA-NMA checklist with 49 items to evaluate separately at a more granular level all multiple-content items (i.e. a 49-point scale modified PRISMA-NMA score). We compared average reporting scores of articles published until and after 2015. Results: In the 1144 included NMAs the mean modified PRISMA-NMA score was 32.1 (95% CI 31.8–32.4) of a possible 49-excellence-score. For 1-year increase, the mean modified score increased by 0.96 (95% CI 0.32 to 1.59) for 389 NMAs published until 2015 and by 0.53 (95% CI 0.02 to 1.04) for 755 NMAs published after 2015. The mean modified PRISMA-NMA score for NMAs published after 2015 was higher by 0.81 (95% CI 0.23 to 1.39) compared to before 2015 when adjusting for journal impact factor, type of review, funding, and treatment category. Description of summary effect sizes to be used, presentation of individual study data, sources of funding for the systematic review, and role of funders dropped in frequency after 2015 by 6–16%. Conclusions: NMAs published after 2015 more frequently reported the five items associated with NMA compared to those published until 2015. However, improvement in reporting after 2015 is compatible with that observed on a yearly basis until 2015, and hence, it could not be attributed solely to the publication of the PRISMA-NMA.

The night eating syndrome (NES) is characterized by excessive food intake during the evening and night hours, with 25% of the daily intake being consumed post-dinner, paired with ep-isodes of nocturnal food intake, at a frequency of more than twice weekly. The NES has been associated with a misaligned circadian rhythm related to a delay in overall food intake, increased energy and fat consumption. The present cross-sectional study aimed to assess NES in a Greek population and evaluate possible links between NES and chronotype. NES was assessed using the Night Eating Questionnaire (NEQ), and circadian rhythm, sleep and mood were evaluated with the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire. A total of 533 adults participated in the study. A relatively high prevalence of NES was revealed, with more than 8.1% (NEQ ≥ 30) of the participants reporting experiencing NES symptoms, depending on the NEQ threshold used. Most participants had the intermediate chronotype. NEQ score was positively associated with the morning chronotype, and SCRAM was negatively related to “Good Sleep”. Each point increment in the depression score was associated with 6% higher odds of NES. The early identification of NES gains importance in clinical practice, in a collective effort aiming to reduce NES symptomatology and its detrimental health effects.

Background: Chronic diseases are a leading cause of global morbidity and mortality. In response to this challenge, self-management interventions (SMIs) have emerged as an essential tool in improving patient outcomes. However, the diverse and complex nature of SMIs pose significant challenges in measuring their effectiveness. This work aims to investigate the comparative effectiveness of SMIs on Type 2 diabetes mellitus (T2DM) outcomes. Methods: A rigorous analytical framework was employed to assess the relative effectiveness of different SMIs, encompassing both pairwise and network meta-analysis (NMA), as well as component network meta-analysis (CNMA). Various outcomes were considered, including glycated hemoglobin (HbA1c) control, body mass index (BMI) reduction and low-density lipoprotein (LDL) cholesterol. Visualization tools were also utilized to enhance the interpretation of results. Results: SMIs were found promising in improving clinical outcomes and patient-reported measures. However, considerable heterogeneity and inconsistency across studies challenged the validity of NMA results. CNMA along with various visualization tools offered insights into the contributions of individual SMI components, highlighting the complexity of these interventions. Discussion/Conclusions: SMIs represent a valuable approach to managing chronic conditions, but their effectiveness is context-dependent. Further research is needed to elucidate the contextual factors influencing SMI outcomes. This work contributes to a comprehensive understanding of SMIs’ role in T2DM management, aiming to aid decision-makers, clinicians, and patients in selecting tailored interventions.

Background: Outbreaks of norovirus gastroenteritis aboard cruise ships may affect a large number of people, debilitate vulnerable travellers, disrupt vacations and cause economic losses to the cruise ship industry. Aim: We aimed to identify risk factors for norovirus outbreaks on cruise ships and assess the effectiveness of prevention and control measures. Methods: We conducted a systematic literature review searching PubMed and Scopus databases as well as grey literature for articles and reports describing norovirus outbreaks on cruise ships between 1990 and 2020. We also performed a meta-analysis of norovirus prevalence in passengers and crew members. Results: Data from 45 outbreaks on 26 cruise ships from 1990 to 2020 were identified in 13 articles and five reports, with a weighted average of prevalence (attack rate) for passengers of 7% (95% confidence interval (CI): 5.00–9.00) and for crew of 2% (95% CI: 0.00–3.00). Person-to-person was the most frequent mode of transmission in 35 of the 45 outbreaks (in 14 the only mode and in 21 as part of multiple transmission routes). Having an ill cabin mate (OR = 38.70; 95% CI: 13.51–110.86) was the most common risk factor. Six outbreak investigations reported poor hygiene, while four reported satisfactory hygiene in the cruise setting. Behavioural risk factors among travellers were investigated in three of the 13 studies. Conclusions: The findings indicate a need for behavioural interventions to improve personal hygiene, symptom reporting and compliance with isolation measures, and for reconsidering current isolation policies where symptomatic and healthy individuals are isolated in the same cabin.

Sarcopenia is characterized by loss of muscle mass and reduced muscle function, presenting various adverse events, especially when inflammation is present. The present study aimed to determine the prevalence of sarcopenia and sarcopenic obesity among patients with rheumatic and musculoskeletal diseases (RMDs) and identify the risk for sarcopenia using two screening tools the Strength, assistance with walking, rising from a chair, climbing stairs, and falls (SARC-F) and the Mini Sarcopenia Risk Assessment (MSRA). In this single-center cross-sectional study, 220 consecutive patients visiting the Department of Rheumatology and Clinical Immunology at the University General Hospital of Larissa were interviewed. The EWGSOP criteria were used for the diagnosis of sarcopenia, while sensitivity, specificity, positive predictive values, number needed to screen, and positive and negative likelihood ratios were used to validate the diagnostic validity of the SARC-F and the MSRA. Univariate and multivariate logistic regression analyses were also applied to model the relationship between sarcopenia and other variables. In the total sample, 15.9% of patients were diagnosed with sarcopenia and one patient with sarcopenic obesity. The SARC-F (sensitivity 22.2%, specificity 75.6%), the 5-item (sensitivity 88.9%, specificity 18.9%), and the 7-item MSRA (sensitivity 91.7%, specificity 9.2%) presented poor clinical performance when used for screening alone. Univariate logistic regression analyses showed that underweight status, systemic sclerosis and appetite loss are strong contributors to sarcopenia diagnosis. Sarcopenia is prevalent among RMDs, and screening is essential within RMD clinics. None of the screening tools (SARC-F and MSRA) can stand alone in assessing sarcopenia in patients with RMDs. More research is required to understand sarcopenia in RMDs and validate the wide-using screening tools.

Greece faced particular COVID-19-pandemic-related challenges, due to specific socio-cultural-economic/public-health factors and drastic restrictive policies. To understand trajectories of overall mental and physical health, well-being, emotional states and individual psychopathology in response to pandemic-related restrictive measures within general adult Greek population across the first two pandemic waves. Using multiple time-point cross-sectional data from the "Collaborative Outcomes study on Health and Functioning during Infection Times" (COH-FIT), we examined changes in outcomes from retrospective pre-pandemic ratings (T0) to three distinct intra-pandemic time points (lockdown 1: T1, between lockdowns: T2, lockdown 2: T3). Primary outcomes included WHO-5 well-being scores and a composite overall psychopathology "P-score", followed by a wide range of secondary outcomes. 10,377 participant responses were evaluated, including 2737 representative-matched participants. Statistically significant differences in well-being and overall psychopathology before and after quarantine (T0 vs. T1-T3), as well as across the assessed time frames (T1, T2, and T3) emerged in both samples. Global mental and physical health, individual psychopathology scores (anxiety, depression, PTSD, OCD, panic, mania, mood swings, sleep and concentration problems), emotional states (anger, helplessness, fear of infection, boredom, frustration, loneliness and overall stress scores), BMI and pain scores also showed statistically significant time differences in both samples, with the exemption of self-injury and suicidal attempt scores, showing lower intra-pandemic scores. This is the largest multi-wave report on well-being, mental and physical health across different pandemic restriction periods in Greece, suggesting a substantial negative effect of lockdowns on most outcomes at least during the acute pandemic waves.