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Meta-Analysis

Meta-Analysis: explore 407 source-linked works published from 2025 to 2026, with original documents and citations.

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Sources: pubmed. Collection updated 2026-09-15. Counts describe this index, not the complete source archives.

Systematic meta-analysis of the toxicities and side effects of the targeted drug lenvatinib.

BACKGROUND: Lenvatinib, an effective targeted drug for various cancers, has clinical medication safety concerns due to its toxicities and side effects. OBJECTIVE: This study evaluated lenvatinib-induced any adverse events (any AEs) and nine aspects: vascular toxicities related to the circulatory system (vascular toxicities, blood system, and heart), toxicities of the skin and its appendages (skin/subcutaneous tissue and taste system), toxicities of the respiratory system (respiratory, thoracic, and mediastinal and respiratory tract), toxicities of the nervous system (nervous system and general), toxicities of the digestive system (gastrointestinal and liver), toxicities of the urinary system, toxicities of the endocrine and metabolic system (endocrine and metabolism/nutrition), toxicities of the musculoskeletal system, and other severe toxicities. Toxicities and side effects were stratified by severity into any and &#x2265;3 grades for analysis. PATIENTS/MATERIALS AND METHODS: Multiple databases were searched for lenvatinib cancer clinical studies (cohort studies and randomized controlled trials) from inception to December 31, 2024; toxicity and side effect data were extracted and analyzed. RESULTS: Nine high-quality studies were included, showing that lenvatinib is effective in cancers but has notable toxicities. Taking hypertension as an example, for any grade, the risk ratio (RR) was 2.34 with a 95% confidence interval (CI) of [2.09, 2.62], a Z-value of 14.74, and a P-value <0.00001; for grade &#x2265;3, the RR was 2.60 with a 95% CI of [2.21, 3.06], a Z-value of 11.44, and a P-value <0.00001. CONCLUSION: Lenvatinib is effective for cancer but toxic, and this study supports its rational clinical use.

Humans

Global epidemiology of diabetes and prediabetes in lean or non-obese patients with NAFLD: a systematic review and meta-analysis.

BACKGROUND: The presence of diabetes increases the risk of adverse outcomes of patients with non-alcoholic fatty liver disease (NAFLD) even in those with lean or non-obese NAFLD. However, the epidemiological data regarding the prevalence of diabetes and prediabetes in lean or non-obese NAFLD populations remain limited. We assessed the global epidemiology of diabetes and prediabetes in lean or non-obese patients with NAFLD. METHODS: Published studies were searched in PubMed, EMBASE, Cochrane Library, and Web of Science databases from the inception of the databases to October 2024. The pooled global prevalence of diabetes or prediabetes in patients with NAFLD was evaluated using random-effects meta-analysis. Subgroup meta-analysis and meta-regression were used to investigate potential sources of heterogeneity. RESULTS: A total of 54 studies involving 146,714 patients with non-obese or lean NAFLD were included. The pooled global prevalence of diabetes among patients with lean or non-obese NAFLD was 15.6% (95% CI 10.8%-22.7%). Studies from South America reported the highest prevalence (41.3%, CI 39.1%-43.5%). Meta-regression models showed that geographic region and mean age (p&#x2009;<&#x2009;0.05) were associated with the were associated with the prevalence of diabetes, jointly accounting for 51.61% of the heterogeneity. The global prevalence of prediabetes among patients with lean or non-obese NAFLD was 22.9% (95% CI 12.5%-41.9%) with the highest prevalence reported in studies from Europe (34.4%, CI 23.0%-51.4%). Meta-regression models showed that geographic region and country (p&#x2009;<&#x2009;0.05) were associated with the prevalence of prediabetes, jointly accounting for 73.65% of the heterogeneity. CONCLUSION: The pooled global prevalence of diabetes and prediabetes were 15.6% and 22.9% in lean or non-obese patients with NAFLD, respectively. These findings suggest the importance of diabetes screening in these patients.

Humans

The impact of the COVID-19 pandemic on osteoporotic fractures: a systematic review and meta-analysis.

BACKGROUND: Recent reports suggest that the COVID-19 pandemic and associated lockdowns may have influenced the epidemiology of osteoporotic fractures, but results vary across regions and fracture types. The aim of this study was to provide evidence-based insights into the impact of the pandemic on osteoporotic fracture incidence. METHODS: We searched four databases (PubMed, Embase, Cochrane Library, and Web of Science) up to August 2025 for observational or retrospective studies comparing osteoporotic fracture incidence during the COVID-19 pandemic (2020) with the pre-pandemic period (2019). The primary outcome of interest was the change in fracture incidence, analysed using risk ratios (RR) with 95% confidence intervals (CI) in Review Manager 5.4. Subgroup analyses were performed by sex, geographic region, and fracture type. RESULTS: Nine studies meeting the inclusion criteria were analysed. Overall, "all types" of osteoporotic fractures showed a significant decrease during the pandemic (RR = 0.85, 95% CI 0.80-0.91, p&#x2009;<&#x2009;0.0001). Specifically, forearm fractures decreased significantly (RR = 0.87, 95% CI 0.79-0.96, p&#x2009;=&#x2009;0.002). However, for the most clinically significant fractures, no statistically significant global change was found for hip fractures (RR = 0.93, 95% CI 0.76-1.15, p&#x2009;=&#x2009;0.14) or vertebral fractures (RR = 1.35, 95% CI 0.85-2.15, p&#x2009;=&#x2009;0.20). In regional subgroup analysis, hip fracture incidence decreased significantly in South America (RR = 0.79, p&#x2009;=&#x2009;0.0004) and in both males and females, but no significant change was observed in Europe (RR = 0.92, 95% CI 0.81-1.04, p&#x2009;=&#x2009;0.17). CONCLUSION: During the COVID-19 pandemic, there was a decrease in the incidence of minor fractures, such as those of the forearm, likely due to reduced outdoor activity. However, the incidence of major osteoporotic fractures (hip and vertebral) remained stable globally, with significant reductions observed only in specific regions like South America.

Humans

The Association Between Child Maltreatment and Quality of Life: A Systematic Review and Meta-Analysis.

The association between child maltreatment (CM) and quality of life (QoL) has been widely examined in the past decade. In this study, we estimated the association between CM and QoL using a systematic review and meta-analysis. Articles were searched up to May 15, 2024, in both English databases (Web of Science, EMBASE, CINAHL, PsycINFO & PsycArticles, MEDLINE, Cochrane Library, PubMed, and Scopus) and Chinese databases (CNKI, Weipu, and Wanfang). The meta-analysis was performed by a random-effects model, using 43 studies comprising 130,884 participants. This study demonstrated that general CM had an adverse impact on QoL and its sub-dimensions, including physical, mental, psychosocial, and environmental QoL. Further analysis showed that the subtypes of CM also had negative impacts on the dimensions of QoL, except for mental QoL. Emotional maltreatment had stronger negative associations with QoL than other subtypes of CM, while neglect received relatively less attention. In addition, the association between CM and QoL was moderated by region, gender ratio, and measurement methods. The findings of this study suggest that CM is negatively associated with QoL. Future studies need to investigate the impact of neglect on QoL and develop tailored programs to improve the QoL of people who have suffered from CM.

Humans

The mediating role of protective factors in relationship between caregiving components and psychosocial adjustment among young carers: a meta-analysis.

OBJECTIVE: Higher youth caregiving is associated with poorer psychosocial outcomes in young carers; hence a research priority is to investigate protective factors that mitigate the adverse effects of youth caregiving. This systematic review with meta-analysis examined the relationships among youth caregiving components and young carer psychosocial adjustment and protective factors, as well as the mediating role of the protective factors in the relationship between caregiving components and psychosocial adjustment. METHODS: Three electronic databases were searched until April 2024 and 10,244 unique publications were identified. Following abstract and title screening, 422 publications were subjected to full-text screening and 60 quantitative studies were included in this study. RESULTS: Meta-analytic structural equation modeling (MASEM) results revealed positive direct effects of caregiving responsibilities and caregiving experiences on benefit finding (&#x3b2;&#xa0;=&#xa0;.43, 95% CI [.074, .782], p&#xa0;<&#xa0;.05) and emotion regulation (&#x3b2;&#xa0;=&#xa0;.72, 95% CI [.44, 1.00], p&#xa0;<&#xa0;.001), respectively. However, there was neither a significant direct effect of caregiving components on psychosocial adjustment nor a significant indirect effect of caregiving components on psychosocial adjustment through benefit finding or emotion regulation. CONCLUSION: Findings revealed a need for research into how caregiving contextual factors affect relations among youth caregiving, protective factors, and adjustment.

Humans

Prospective Longitudinal Associations Between Adverse Childhood Experiences and Adult Mental Health Outcomes: Systematic Review and Meta-Analysis.

Research suggests a strong, dose-response relationship between adverse childhood experiences (ACEs) and poor adult mental health outcomes. This systematic review and meta-analysis aimed to systematically investigate the existence and strength of prospective associations between ACEs and adult mental health outcomes: anxiety, depression, psychotic-like experiences, post-traumatic stress disorder (PTSD), self-harm, and suicidality. We searched 12 electronic databases for publications after 1990. A narrative synthesis of included studies and random-effects meta-analyses with moderation were completed for all outcomes, excluding self-harm. In total, 62 studies from 15 countries were included. Most studies were from the United States; 95% of publications (N&#x2009;=&#x2009;59) came from high-income countries (HICs) and 5% (N&#x2009;=&#x2009;3) from upper-middle-income countries. Pooled associations between ACEs and adult mental illness were strongest for PTSD (OR&#x2009;=&#x2009;2.26; 95% CI [1.75, 2.77]), followed by anxiety (OR&#x2009;=&#x2009;1.78; 95% CI [1.45, 2.11]), depression (OR&#x2009;=&#x2009;1.61; 95% CI [1.45, 1.76]), psychotic-like experiences (OR&#x2009;=&#x2009;1.34; 95% CI [1.13, 1.54]), and suicidality (OR&#x2009;=&#x2009;1.28; 95% CI [1.13, 1.43]). Moderation analyses suggested ACEs with a violence or maltreatment component were significant risk factors for adult depression compared to household ACEs, and that study location was a significant moderator in the depression, anxiety, and PTSD models. Further moderation effects will be discussed. Findings confirm ACEs are a significant risk factor for mental ill-health in adulthood. Our review highlights the urgent need for research exploring associations between ACEs measured in childhood and adult mental illness outside of HIC settings.

Humans

Outcomes of Experiencing Interpersonal Violence in Autism: A Mixed Methods Systematic Review and Meta-Analysis.

In this review and meta-analysis, we aimed to examine outcomes of interpersonal violence among autistic people. Intersectionality and minority theories suggest that negative outcomes are heightened among people with multiple marginalized identities. Thus, we also aimed to investigate gender-related outcomes of interpersonal violence among autistic people. We conducted a systematic database search with inclusion criteria including mixed methods, peer-reviewed research examining any harmful interpersonal act (e.g., physical, sexual, and psychological) experienced by autistic people. We undertook a random-effects meta-analysis with pooled data from 9 studies, comprising 3,647 autistic participants aged 1 to 80&#x2009;years. Violence was associated with worsened mental health, with the strongest association for internalizing symptoms (d&#x2009;=&#x2009;0.66, p&#x2009;<&#x2009;.001; 95% CI [0.51, 0.80]) and suicidal thoughts and behavior (d&#x2009;=&#x2009;0.63, p&#x2009;<&#x2009;.001; [0.44, 0.82]). Narrative synthesis of 57 studies comprising 37,418 participants (13,127 autistic, 24,291 non-autistic) found violence was associated with numerous adverse health, development, and functional outcomes, including worsened mental health and behavioral difficulties compared to non-autistic controls from childhood. Females and gender minorities reported greater intra- and interpersonal health and development difficulties related to violence, emerging in early childhood and enduring into adulthood. Findings provide strong evidence of lifelong negative outcomes associated with interpersonal violence experienced by autistic people, providing evidence for the relevance of minority stress and intersectionality theories in understanding risk. Indeed, our results raise concerns that autistic people, and particularly non-male (female, gender diverse) individuals, have higher susceptibility for abuse from a young age, while being conditioned to respond with social desirability, superficial adaptivity, and dissociation.

Humans

Evaluation of Prevalence of Obstetric Violence and its Associated Factors: A Systematic Review and Meta-Analysis.

Obstetric violence (OV) begins with a woman's initial contact with a health institution and can persist throughout pregnancy, labor, and the postpartum period. Despite this, previous research has largely focused on the labor process. This systematic review and meta-analysis aimed to determine the prevalence and associated factors of OV experienced by women during pregnancy, labor, or the postpartum period. We conducted systematic searches in five electronic databases (Web of Science, Scopus, CINAHL Ultimate, MEDLINE Ultimate, and OVID) between April 27 and August 7, 2024. Studies were included if they involved women aged 18 and above who experienced mistreatment, abuse, disrespect, or OV during pregnancy, childbirth, or the postpartum period; employed quantitative cohort, descriptive, or cross-sectional designs; were written in English; reported the prevalence of OV and/or associated factors; and were published between January 1, 2007 and December 31, 2023. Data synthesis involved meta-analysis, meta-regression, and narrative synthesis methods. A total of 41 studies, including 43,977 participants from 17 countries, were included. The meta-analysis revealed that the pooled prevalence of OV was 61.7% (95% CI [0.549, 0.680]; I&#xb2;: 99.258%). The meta-regression analysis showed that variables such as the country of study, income level of countries, study setting, study design, and risk of bias had statistically significant effects on OV. In addition, 40 risk factors and 14 protective factors were identified through narrative synthesis. This highlights the high prevalence of OV and the need to address the associated factors.

Humans

Quantitative Outcomes for Shared Assessment and Management in Forensic Mental Health: A Meta-Analysis and Systematic Review.

Despite leading models of mental health care encouraging user involvement, users in forensic mental health (FMH) report poor involvement given the difficulty in reconciling shared approaches with risk-averse and legally mandated settings. While previous research has demonstrated qualitative benefits to shared approaches in FMH and has led to a proliferation of self-rated assessment tools, there remains to quantify agreement on self-rated tools and to clarify the impact of shared approaches on care. This meta-analysis examines (1) the correlation between clinician and user ratings, (2) the predictive validity of self-ratings for violence, and (3) the effects of shared risk management on violence and restriction in FMH. Five databases were searched from inception to April 2024, selecting for adult FMH inpatients, shared risk assessment, needs assessment or violence management as interventions, and quantitative outcomes (correlation, agreement, predictive validity, and effect on violence or restriction rates). Fifteen quantitative evaluations were retained. One of three planned meta-analyses could be conducted, with seven records providing paired clinician-user t-tests. Eleven more records provided clinical recommendations on operationalizing shared approaches. Random-effects meta-analysis showed a significant and large paired standard difference of .95 (95% CI&#x2009;=&#x2009;[.49,1.42]) across tools, with significant differences in DUNDRUM-3, DUNDRUM-4, and CANFOR sub-models. While acknowledging between-study heterogeneity, results substantiate quantitative differences where clinicians generally rate more needs and lesser progress than users across tools, showing that self-ratings can and should be used to broach collaborative discussions on needs and progress during FMH treatment. There remains an evidence gap for quantitative benefits in care outcomes and a need to standardize agreement measures for future comparisons and clinical sub-group analyses.

Humans

Parent-Mediated Interventions for ASD Under 3 Years: A Systematic Review, Meta Analysis, and Moderator Analyses.

This study aimed to assess the effectiveness of PMIs for ASD under 3&#xa0;years, and explore potential moderators influencing the effectiveness through moderator analyses. The study searched five English databases for randomized controlled trials (RCTs). The meta-analysis was conducted using a random-effects model to calculate Hedges's g. Subgroup analyses and meta regression assessed the effects of potential moderators on PMIs effectiveness, with evidence quality evaluated using GRADE. A total of 31 RCTs were included in the systematic review, with 26 included in the meta-analysis. The results showed a small overall beneficial effect of PMIs on ASD under 3 years (g&#x2009;=&#x2009;0.20). Small to trivial positive effects were found in several subdomains, including adaptive skills (g&#x2009;=&#x2009;0.29), parent responsiveness (g&#x2009;=&#x2009;0.23), parent-child interaction (g&#x2009;=&#x2009;0.35), social communication (g&#x2009;=&#x2009;0.18), and symptoms (g&#x2009;=&#x2009;&#x2009;-&#x2009;0.22). However, PMIs did not show statistically significant effects on children's cognitive competence, language, or motor skills domains. Subgroup analysis and meta-regression explored potential moderators, but none significantly influenced the effectiveness of PMIs. The GRADE assessment showed that the certainty of the evidence ranged from moderate to low. This study confirmed that PMIs demonstrate positive effects on children under 3&#xa0;years old with ASD, and showed beneficial outcomes in most subdomains. However, the evidence was of moderate to low certainty, so these findings should be interpreted with caution. In the future, broader databases and more large-scale, multicenter, high-quality clinical studies are needed to confirm these effects.

Humans

Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta-Analysis.

AIM: To synthesise existing evidence concerning the application of AI methods in detecting depression through behavioural cues among adults in healthcare and community settings. DESIGN: This is a diagnostic accuracy systematic review. METHODS: This review included studies examining different AI methods in detecting depression among adults. Two independent reviewers screened, appraised and extracted data. Data were analysed by meta-analysis, narrative synthesis and subgroup analysis. DATA SOURCES: Published studies and grey literature were sought in 11 electronic databases. Hand search was conducted on reference lists and two journals. RESULTS: In total, 30 studies were included in this review. Twenty of which demonstrated that AI models had the potential to detect depression. Speech and facial expression showed better sensitivity, reflecting the ability to detect people with depression. Text and movement had better specificity, indicating the ability to rule out non-depressed individuals. Heterogeneity was initially high. Less heterogeneity was observed within each modality subgroup. CONCLUSIONS: This is the first systematic review examining AI models in detecting depression using all four behavioural cues: speech, texts, movement and facial expressions. IMPLICATIONS: A collaborative effort among healthcare professionals can be initiated to develop an AI-assisted depression detection system in general healthcare or community settings. IMPACT: It is challenging for general healthcare professionals to detect depressive symptoms among people in non-psychiatric settings. Our findings suggested the need for objective screening tools, such as an AI-assisted system, for screening depression. Therefore, people could receive accurate diagnosis and proper treatments for depression. REPORTING METHOD: This review followed the PRISMA checklist. PATIENTS OR PUBLIC CONTRIBUTION: No patients or public contribution.

Humans
Compare source metadata on this page
WorkPublishedSource identifierSource
Systematic meta-analysis of the toxicities and side effects of the targeted drug lenvatinib.2025-12-24PMID 41439769pubmed
Global epidemiology of diabetes and prediabetes in lean or non-obese patients with NAFLD: a systematic review and meta-analysis.2025-12-22PMID 41424121pubmed
The impact of the COVID-19 pandemic on osteoporotic fractures: a systematic review and meta-analysis.2025-12-22PMID 41424145pubmed
The Association Between Child Maltreatment and Quality of Life: A Systematic Review and Meta-Analysis.2025-08-30PMID 40884081pubmed
The mediating role of protective factors in relationship between caregiving components and psychosocial adjustment among young carers: a meta-analysis.2025-08-19PMID 40830993pubmed
Prospective Longitudinal Associations Between Adverse Childhood Experiences and Adult Mental Health Outcomes: Systematic Review and Meta-Analysis.2025-08-17PMID 40819337pubmed
Outcomes of Experiencing Interpersonal Violence in Autism: A Mixed Methods Systematic Review and Meta-Analysis.2025-08-09PMID 40781951pubmed
Evaluation of Prevalence of Obstetric Violence and its Associated Factors: A Systematic Review and Meta-Analysis.2025-07-30PMID 40737135pubmed
Quantitative Outcomes for Shared Assessment and Management in Forensic Mental Health: A Meta-Analysis and Systematic Review.2025-06-26PMID 40567160pubmed
Parent-Mediated Interventions for ASD Under 3 Years: A Systematic Review, Meta Analysis, and Moderator Analyses.2025-05-13PMID 40358871pubmed
Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta-Analysis.2025-02-24PMID 39994873pubmed

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