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Management for children and adolescents with overweight and obesity: a recommendations mapping
BackgroundChildhood obesity is a global public health issue, and the status of clinical practice guidelines (CPGs) as instruction manuals for the management of childhood obesity remains unclear. This study aims to identify and apprise the methodological and reporting quality of CPGs focused on childhood obesity and provide an overview of key recommendations.MethodsDatabases and websites reporting guidelines were searched from January, 2018 to September, 2023. The methodological quality was graded using the AGREE II, and RIGHT was used to assess the reporting completeness.ResultsAmong the six included CPGs, two were rated as high quality and considered "Recommended" and three were reported no less than 80%. CPGs included 184 recommendations cover diagnosis, assessment and management of complications, interventions and prevention. The diagnostic criteria for children with obesity over 2 years of age are based on normative BMI percentiles, depending on sex and age. CPGs recommended the delivery of multi-component behavior-changed interventions included controlling diet and increasing physical activity. Pharmacological interventions and bariatric surgery are considered as complementary therapies.ConclusionCPGs for childhood obesity should emphasize the impact of psychological factors and consider the provision of interventions from multiple settings, and could consider the role of complementary alternative therapies.ImpactSix guidelines have been published in the past 5 years focusing children obesity.Recommendations covered diagnosis, multiple intervention and prevention.Guidelines should focus on the role of complementary alternative therapies.Guidelines should emphasize the impact of psychological factors.Guidelines should consider the provision of interventions from multiple settings.
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Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models
Importance Large language models (LLMs) may facilitate the labor-intensive process of systematic reviews. However, the exact methods and reliability remain uncertain. Objective To explore the feasibility and reliability of using LLMs to assess risk of bias (ROB) in randomized clinical trials (RCTs). Design, Setting, and Participants A survey study was conducted between August 10, 2023, and October 30, 2023. Thirty RCTs were selected from published systematic reviews. Main Outcomes and Measures A structured prompt was developed to guide ChatGPT (LLM 1) and Claude (LLM 2) in assessing the ROB in these RCTs using a modified version of the Cochrane ROB tool developed by the CLARITY group at McMaster University. Each RCT was assessed twice by both models, and the results were documented. The results were compared with an assessment by 3 experts, which was considered a criterion standard. Correct assessment rates, sensitivity, specificity, and F1 scores were calculated to reflect accuracy, both overall and for each domain of the Cochrane ROB tool; consistent assessment rates and Cohen kappa were calculated to gauge consistency; and assessment time was calculated to measure efficiency. Performance between the 2 models was compared using risk differences. Results Both models demonstrated high correct assessment rates. LLM 1 reached a mean correct assessment rate of 84.5% (95% CI, 81.5%-87.3%), and LLM 2 reached a significantly higher rate of 89.5% (95% CI, 87.0%-91.8%). The risk difference between the 2 models was 0.05 (95% CI, 0.01-0.09). In most domains, domain-specific correct rates were around 80% to 90%; however, sensitivity below 0.80 was observed in domains 1 (random sequence generation), 2 (allocation concealment), and 6 (other concerns). Domains 4 (missing outcome data), 5 (selective outcome reporting), and 6 had F1 scores below 0.50. The consistent rates between the 2 assessments were 84.0% for LLM 1 and 87.3% for LLM 2. LLM 1's kappa exceeded 0.80 in 7 and LLM 2's in 8 domains. The mean (SD) time needed for assessment was 77 (16) seconds for LLM 1 and 53 (12) seconds for LLM 2. Conclusions In this survey study of applying LLMs for ROB assessment, LLM 1 and LLM 2 demonstrated substantial accuracy and consistency in evaluating RCTs, suggesting their potential as supportive tools in systematic review processes.
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Methodological proposals for developing trustworthy recommendations of integrative Chinese-Western medicine
Background: To refine the methods of developing clinical practice guidelines (CPGs) for integrative ChineseWestern medicine (ICWM), promoting the formation of trustworthy, implementable recommendations that integrate the strengths of Chinese and Western medicine. Methods: Using a nominal group technique (NGT) approach, a multidisciplinary expert panel was established. The panel identified key methodological issues in ICWM-CPG development through literature review and iterative discussions, and formulated methodological proposals to address these issues. The final set of proposals was achieved through consensus among the panel members. Results: The collaborative effort resulted in the identification of five pivotal methodological issues and the subsequent establishment of 22 specific recommendations. These encompass strict adherence to renowned standards, such as those proposed by the Institute of Medicine (IOM) and Guidelines International Network (G -I -N), the employment of methodologies like the GRADE approach and RIGHT statement, the strategic constitution of a balanced development group, the adept identification of ICWM-focused clinical inquiries, the nuanced integration of diverse evidence sources, and the detailed crafting of transparent, implementable recommendations. Conclusions: This study concentrates on the most crucial and prevalent methodological issues in ICWM-CPG development, proposing a series of recommendations. These suggestions result from a multidisciplinary expert consensus, aiming to provide methodological guidance for ICWM-CPG developers, building upon the current foundational methodologies.
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Monoclonal Antibody for the Prevention of Respiratory Syncytial Virus in Infants and Children: A Systematic Review and Network Meta-analysis
IMPORTANCE Respiratory syncytial virus (RSV) is the leading cause of acute lower respiratory infection children younger than 5 years; effective prevention strategies are urgently needed. OBJECTIVE To compare the efficacy and safety of monoclonal antibodies for the prevention of RSV infection in infants and children. DATA SOURCES In this systematic review and network meta-analysis, PubMed, Embase, CENTRAL, and ClinicalTrials.gov were searched from database inception to March 2022. STUDY SELECTION Randomized clinical trials that enrolled infants at high risk of RSV infection to receive a monoclonal antibody or placebowere included. Keywords and extensive vocabulary related to monoclonal antibodies, RSV, and randomized clinical trials were searched. DATA EXTRACTION AND SYNTHESIS The Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline was used. Teams of 2 reviewers independently performed literature screening, data extraction, and risk of bias assessment. The Grading of Recommendations, Assessments, Developments, and Evaluation approach was used to rate the certainty of evidence. A random-effects model network meta-analysis was conducted using a consistency model under the frequentist framework. MAIN OUTCOMES AND MEASURES The main outcomes were all-cause mortality, RSV-related hospitalization, RSV-related infection, drug-related adverse events, intensive care unit admission, supplemental oxygen use, and mechanical ventilation use. RESULTS Fifteen randomized clinical trials involving 18 395 participants were eligible; 14 were synthesized, with 18 042 total participants (median age at study entry, 3.99 months [IQR, 3.25-6.58 months]; median proportion of males, 52.37%[IQR, 50.49%-53.85%]). Compared with placebo, with moderate- to high-certainty evidence, nirsevimab, palivizumab, and motavizumab were associated with significantly reduced RSV-related infections per 1000 participants (nirsevimab: -123 [95% CI, -138 to -100]; palivizumab: -108 [95% CI, -127 to -82]; motavizumab: -136 [95% CI, -146 to -125]) and RSV-related hospitalizations per 1000 participants (nirsevimab: -54 [95% CI, -64 to -38; palivizumab: -39 [95% CI, -48 to -28]; motavizumab: -48 [95% CI, - 58 to -33]). With moderate-certainty evidence, both motavizumab and palivizumab were associated with significant reductions in intensive care unit admissions per 1000 participants (-8 [95% CI, -9 to -4] and -5 [95% CI, -7 to 0], respectively) and supplemental oxygen use per 1000 participants (-59 [95% CI, -63 to -54] and -55 [95% CI, -61 to -41], respectively), and nirsevimab was associated with significantly reduced supplemental oxygen use per 1000 participants (-59 [95% CI, -65 to -40]). No significant differences were found in all-cause mortality and drug-related adverse events. Suptavumab did not show any significant benefits for the outcomes of interest. CONCLUSIONS AND RELEVANCE In this study, motavizumab, nirsevimab, and palivizumab were associated with substantial benefits in the prevention of RSV infection, without a significant increase in adverse events compared with placebo. However, more research is needed to confirm the present conclusions, especially for safety and cost-effectiveness.
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Saturated fat and human health: a protocol for a methodologically innovative systematic review and meta-analysis to inform public health nutrition guidelines
Background The health effects of dietary fats are a controversial issue on which experts and authoritative organizations have often disagreed. Care providers, guideline developers, policy-makers, and researchers use systematic reviews to advise patients and members of the public on optimal dietary habits, and to formulate public health recommendations and policies. Existing reviews, however, have serious limitations that impede optimal dietary fat recommendations, such as a lack of focus on outcomes important to people, substantial risk of bias (RoB) issues, ignoring absolute estimates of effects together with comprehensive assessments of the certainty of the estimates for all outcomes.Objective We therefore propose a methodologically innovative systematic review using direct and indirect evidence on diet and food-based fats (i.e., reduction or replacement of saturated fat with monounsaturated or polyunsaturated fat, or carbohydrates or protein) and the risk of important health outcomes.Methods We will collaborate with an experienced research librarian to search MEDLINE, EMBASE, CINAHL, and the Cochrane Database of Systematic Reviews (CDSR) for randomized clinical trials (RCTs) addressing saturated fat and our health outcomes of interest. In duplicate, we will screen, extract results from primary studies, assess their RoB, conduct de novo meta-analyses and/or network meta-analysis, assess the impact of missing outcome data on meta-analyses, present absolute effect estimates, and assess the certainty of evidence for each outcome using the GRADE contextualized approach. Our work will inform recommendations on saturated fat based on international standards for reporting systematic reviews and guidelines.Conclusion Our systematic review and meta-analysis will provide the most comprehensive and rigorous summary of the evidence addressing the relationship between saturated fat modification for people-important health outcomes. The evidence from this review will be used to inform public health nutrition guidelines.
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Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis
Background: COVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19. Methods: In this systematic review and meta-analysis, the Embase, PubMed, CENTRAL, and Web of Science databases were searched from December 2019 to June 8, 2022. We included cohort studies that provided data on the number, proportion, or relative risk of diabetes after confirming the COVID-19 diagnosis. Two reviewers independently screened studies for eligibility, extracted data, and assessed risk of bias. We used a random-effects meta-analysis to pool the relative risk with corresponding 95 % confidence intervals. Prespecified subgroup and meta-regression analyses were conducted to explore the potential influencing factors. We converted the relative risk to the absolute risk difference to present the evidence. This study was registered in advance (PROSPERO CRD42022337841). Main findings: Ten articles involving 11 retrospective cohorts with a total of 47.1 million participants proved eligible. We found a 64 % greater risk (RR = 1.64, 95%CI: 1.51 to 1.79) of diabetes in patients with COVID-19 compared with non-COVID-19 controls, which could increase the number of diabetes events by 701 (558 more to 865 more) per 10,000 persons. We detected significant subgroup effects for type of diabetes and sex. Type 2 diabetes has a higher relative risk than type 1. Moreover, men may be at a higher risk of overall diabetes than women. Sensitivity analysis confirmed the robustness of the results. No evidence was found for publication bias. Conclusions: COVID-19 is strongly associated with the risk of incident diabetes, including both type 1 and type 2 diabetes. We should be aware of the risk of developing diabetes after COVID-19 and prepare for the associated health problems, given the large and growing number of people infected with COVID-19. However, the body of evidence still needs to be strengthened.
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An umbrella review of meta-analyses on diagnostic accuracy of C-reactive protein
Background: Multiple studies and meta-analyses have reported the diagnostic value of C-reactive protein (CRP) in several diseases. However, the precision, and influence of potential bias regarding the diagnostic values of existing evidence may have implications for clinical practice. Methods: We performed an umbrella review of diagnostic test accuracy studies of CRP for diseases by searching PubMed, Embase, China National Knowledge Infrastructure, and WanFang databases up to March 7, 2021. Five independent reviewers evaluated eligibility, extracted data, and assessed methodological quality. We descriptively analyzed the diagnostic accuracy of CRP for multiple diseases, heterogeneity between studies, and publication bias. Results: Seventy-four meta-analyses were included, with 13 diseases classified according to the International Classification of Diseases-11 (ICD-11). The methodological quality of the included meta-analyses was mostly low, with only 16 meta-analyses rated as moderate or high, including seven diseases classified by ICD-11. CRP had a relatively greater diagnostic accuracy for two of these diseases. For postoperative infectious complications after bariatric surgery, sensitivity and specificity were 0.81 (0.34-1) and 0.91 (0.73-1), respectively. For anastomotic leakage after colorectal surgery, sensitivity and specificity were 0.95 (0.75-0.99) and 0.95 (0.75-0.99), respectively. Conclusions: The diagnostic accuracy of CRP for multiple diseases has been extensively studied; however, most studies have low methodological quality. Evidence indicates that CRP has a relatively greater diagnostic accuracy for inflammation and infection diseases, especially for postoperative infectious complications after bariatric surgery and anastomotic leakage after colorectal surgery.
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PFMT relevant strategies to prevent perineal trauma: a systematic review and network meta-analysis
Background Most women suffer from perineal trauma during childbirth, whether it is natural tears or episiotomy. Objectives To perform a systematic review and network meta-analysis investigating the effectiveness of different PFMT relevant strategies in the prevention of perineal trauma. Search strategy PubMed, Embase, the Cochrane Library, CINAHL, CNKI, CBM, WANFANG DATABASE, and ClinicalTrials.gov were searched for citations published in any language from inception to 1 July 2021. Selection criteria Randomized controlled trials (RCTs) of PFMT relevant prevention strategies for preventing perineal trauma during childbirth. Data collection and analysis Data were independently extracted by two reviewers. Relative treatment effects were estimated using network meta-analysis (NMA). Main results Of 12 632 citations searched, 21 RCTs were included. Comparing with usual care, "PFMT combine with perineal massage" and PFMT alone showed more superiority in intact perineum (RR = 5.37, 95% CI: 3.79 to 7.60, moderate certainty; RR = 2.58, 95% CI 1.34-4.97, moderate certainty, respectively), episiotomy (RR = 0.26, 95% CI 0.14-0.49, very low certainty; RR = 0.63, 95% CI 0.45-0.90, very low certainty, respectively), and OASIS (RR = 0.35, 95% CI 0.16-0.78, moderate certainty; RR = 0.49, 95% CI 0.28-0.85, high certainty, respectively). "PFMT combine with perineal massage" showed superiority in reducing perineal tear (RR = 0.41, 95% CI 0.20-0.85, moderate certainty). Conclusions In view of the results, antenatal "PFMT combine with perineal massage" and PFMT were effective strategies for the prevention of perineal trauma.
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Risk of abnormal pregnancy outcomes after using ondansetron during pregnancy: A systematic review and meta-analysis
Background: Hyperemesis gravidarum is a serious pregnancy complication that affects approximately 1% of pregnancies worldwide. Objective: To determine whether the use of ondansetron during pregnancy is associated with abnormal pregnancy outcomes. Search strategy: PubMed, Cochrane Library, CINAHL, Embase, CNKI, CBM, WANFANG, and were searched for citations published in any language from inception to 15 December 2021. Selection criteria: Eligible studies included any observational study. Data collection and analysis: Odds ratio (OR) and 95% confidence interval (CI) were used as indicators to examine the association between ondansetron and abnormal pregnancy outcomes. Main results: Twenty articles from 1,558 citations were included. Our preliminary analysis showed that compared with the unexposed group, the use of ondansetron during pregnancy may be associated with an increased incidence of cardiac defects (OR = 1.06, 95% CI: 1.01-1.10), neural tube defects (OR = 1.12, 95% CI: 1.05-1.18), and chest cleft (OR = 1.21, 95% CI: 1.07-1.37). Further sensitivity analysis showed no significant association between ondansetron and cardiac defects (OR = 1.15,95% CI: 0.94-1.40) or neural tube defects (OR = 0.87,95% CI: 0.46-1.66). When controversial studies were eliminated, the results for the chest defects disappeared. Simultaneously, we found that the use of ondansetron was associated with a reduced incidence of miscarriage (OR = 0.53, 95% CI: 0.31-0.89). Ondansetron was not associated with orofacial clefts (OR = 1.09,95% CI: 0.95-1.25), spinal limb defects (OR = 1.14,95% CI: 0.89-1.46), urinary tract deformities (OR = 1.06,95% CI: 0.97-1.15), any congenital malformations (OR = 1.03,95% CI: 0.98-1.09), stillbirth (OR = 0.97,95% CI: 0.83-1.15), preterm birth (OR = 1.22,95% CI: 0.80-1.85), neonatal asphyxia (OR = 1.05,95% CI: 0.72-1.54), or neonatal development (OR = 1.18,95% CI: 0.96-1.44) in our primary analysis. Conclusion: In our analysis, using ondansetron during pregnancy was not associated with abnormal pregnancy outcomes. Although our study did not find sufficient evidence of ondansetron and adverse pregnancy outcomes, future studies including the exposure period and dose of ondansetron, as well as controlling for disease status, may be useful to truly elucidate the potential risks and benefits of ondansetron.
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