Meta-analysis Model Research Articles

Determinants of diabetic nephropathy among diabetic patients in Ethiopia: Systematic review and meta-analysis.

Diabetic nephropathy (DN) is a long-term kidney disease among diabetic patients. It is the leading cause of end-stage renal failure. In Ethiopia, DN affects the majority of diabetic populations, but there were inconsistent findings about the determinant factors across the studies. We have accessed studies using PubMed, Embase, EBSCO, Web of Science, OVID, and search engines including Google and Google Scholar published up to June 2023. The study populations were diabetic patients with nephropathy. The quality of each included article was assessed using the Newcastle-Ottawa quality assessment scale. The odds ratios of risk factors were pooled using a random-effect meta-analysis model. Heterogeneity was assessed using the Cochrane Q statistics and I-Square (I2). The publication bias was detected using the funnel plot and/or Egger's test (p< 0.05). Trim and fill analysis was carried out to treat the publication bias. The protocol has been registered with the reference number CRD42023434547. A total of sixteen articles were used for this reviewed study. Of which, eleven articles were used for advanced age, ten articles for duration of diabetic illness, ten articles for poor glycemic control, and eleven articles for having co-morbid hypertension. Diabetic patients with advanced age (AOR = 1.11, 95% CI: 1.03-120, I2 = 0.0%, p = 0.488), longer duration of diabetic illness (AOR = 1.23, 95% CI = 1.05-1.45, I2 = 0.0%, p = 0.567), poor glycemic control (AOR = 2.57, 95% CI: 1.07-6.14; I2 = 0.0%, p = 0.996), and having co-morbid hypertension (AOR = 4.03, 95% CI: 2.00-8.12, I2 = 0.0%, p = 0.964) were found to be factors associated with DN. The findings of the study revealed that diabetic patients with advanced age, longer duration of diabetic illness, poor glycemic control status, and co-morbid hypertension were the determinant factors of DN. Therefore, treatment of co-morbid hypertension and high blood glucose and regular screening of renal function should be implemented to detect, treat, and reduce the progression of DN. Furthermore, healthcare workers should give due attention to diabetes with advanced age and a longer duration of diabetes illness to prevent the occurrence of DN.

Close lateral internal sphincterotomy versus open lateral internal sphincterotomy for chronic anal fissure: a systematic review and meta-analysis

Background: Lateral internal sphincterotomy (LIS) has been the gold standard for treating chronic anal fissure (CAF) that persists despite other measures. The authors aim to evaluate the effects of the close method (CLIS) of performing LIS as compared to the open method (OLIS). Methods: Databases were searched for relevant studies and results were screened to identify eligible articles, and all concerned outcomes were pooled as odd ratio (OR) or mean difference (MD) with 95% CI in the meta-analysis models using RevMan 5.4. Results: Pooled data from 16 trials with 1,711 patients with idiopathic CAF showed that the CLIS has significant lower risk of delayed fissure healing [OR: 0.28, 95% CI (0.10, 0.77), P = 0.01], duration of hospital stay [MD: -0.82 with 95% CI (−1.07, −0.57), P &lt; 0.00001] and postoperative visual analogue pain score (VAPS) at 24 h [MD: −0.30 with 95% CI (−0.39, −0.21), P &lt; 0.00001]. Also, the risk of overall complications [OR: 0.33 with 95% CI (0.19, 0.55), P &lt; 0.0001], incontinence [OR: 0.28 with 95% CI (0.20, 0.38), P &lt; 0.00001], and postoperative pain [OR: 0.56 with 95% CI (0.35, 0.91), P = 0.02] was significantly lower with CLIS. Conclusion: CLIS is a safer option than OLIS for treating anal fissure. The risk of delayed fissure healing, incontinence, post-op pain and overall complication was significantly lower. However, the risk of surgical site infection, postoperative bleeding and recurrence did not differ. Future research with more prolonged follow-up is necessary to document recurrence reliably.

Preservation versus dissection of the intercostobrachial nerve for breast cancer surgeries: a systematic review and meta-analysis

Introduction: This meta-analysis aimed to compare the efficacy of preservation of the intercostobrachial nerve (ICBN) versus its dissection for patients who underwent breast surgery. Methods: The authors searched Web of Science, PubMed, Cochrane CENTRAL, and Scopus from inception until March 2023. Records were screened for eligible studies, and all relevant outcomes were pooled as an odds ratio (OR) with the corresponding 95% CI in the meta-analysis models using RevMan version 5.4. Results: These results from 11 studies (1021 patients) favored preservation of the ICBN over its dissection in terms of anaesthesia and hypaesthesia [OR 0.50, (95% CI, 0.31–0.82); P = 0.006] and [OR 0.33, (95% CI, 0.16–0.68); P = 0.003], respectively. Whereas the overall effect favored ICBN dissection over preservation in the case of hyperaesthesia [OR 4.34, (95% CI, 1.43–13.15); P = 0.01]. Conversely, no significant variance was detected between the two groups in terms of pain [OR 0.68, (95% CI, 0.28–1.61) P = 0.38], paraesthesia [OR 0.88, (95% CI, 0.49–1.60); P = 0.68], and analgesia [OR 1.46, (95% CI, 0.05–45.69); P = 0.83]. Conclusion: This meta-analysis revealed that the preservation of the ICBN has a significant effect on the disturbance of sensory parameters of hypaesthesia and anaesthesia when compared to its dissection. Further studies with larger sample sizes are recommended to precisely compare both techniques on a wider range of parameters.

A systematic literature review about local wisdom and sustainability: Contribution and recommendation to science education

The theme “local wisdom, sustainability, and education” attracted the attention of researchers, and the number of publications began to increase, making it interesting to study. This systematic literature review (SLR) aims to review various research published in journals indexed in Scopus database related to the theme “local wisdom, sustainability, and education”. The review focuses on publication trends as well as the contributions and recommendations that can be obtained. Disbursement was focused on the largest database in the world (Scopus), where 186 articles were obtained. preferred reporting items for systematic reviews and meta-analysis model was used to obtain suitable articles, so that finally only 10 articles met the criteria to be analyzed. We obtained data that the dominant research was conducted using a qualitative approach or method. There is no dominant author, and all authors are not related to each other. Local wisdom and sustainability “meet” in the word Indonesia, showing Indonesia’s position and urgency in this study. The theme “local wisdom, sustainability, and education” is still not an interesting issue asking for international collaboration, so research collaboration is still local. We discuss all the findings. We also discuss the contributions and recommendations of the 10 articles analyzed, which can be grouped into aspects of sustainable agriculture, sustainable watershed management, implementation of environmental education curricula, and teacher professionalism development. Contributions and recommendations are aimed at all aspects of education (both formal, non-formal and informal education). Findings can be a consideration or baseline for researchers to study theme of “local wisdom, sustainability, and education” according to their respective backgrounds and objectives.

Peer connectedness and substance use in adolescence: A systematic review and meta-analysis.

Adolescents' relationships with their peers play a pivotal role in their substance-use behaviors. As such, decades of research have examined how substance use relates to adolescents' overall levels of closeness to their peers, here termed peer connectedness, with mixed results. This report sought to determine how the operationalizations of peer connectedness and substance use affect the nature of the relationship between them. We used a systematic review strategy to find a comprehensive set of studies investigating the relationship between peer connectedness and substance use. Three-level meta-analytic regression was used to empirically test whether the operationalization of these variables moderates effect sizes across studies. We found 147 studies, of which 128 were analyzed using multilevel meta-analytic regression models. Operationalizations of peer connectedness varied widely, encompassing sociometric and self-report measures. Of these measures, sociometric indices specifically pertaining to popularity were most strongly predictive of substance use. Less consistent relationships were observed between substance use and sociometric measures of friendship, as well as with self-report measures. Being perceived as popular by one's peers is positively related to substance use among adolescents. This relationship is stronger and more consistent than those between substance use and other peer-connectedness variables, underscoring the necessity of operationalizing these constructs specifically and clearly. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Enhancing the Combined-TAM-TPB model with trust in the sharing economy context: A meta-analytic structural equation modeling approach

The theories and constructs of the theory of planned behavior (TPB), the technology acceptance model (TAM), and trust are all widely discussed in research on the sharing economy. Previous empirical research, however, has yielded inconsistent results about the degree of association in the aforementioned theoretically covered constructs. This study used an integrated model that included the TAM, TPB, and trust to investigate factors that primarily influence participation intention in the sharing economy. A meta-analysis of 146 studies was conducted to summarize effect sizes for 12 pairs of relationships. The findings demonstrate a high positive correlation for each relationship in the model. Then, meta-analytic structural equation modeling (MASEM) was used to test the original, the extended Combined-TAM-TPB (C-TAM-TPB), and the extended C-TAM-TPB with trust model (trust-enhanced extended model). The findings indicate that the trust-enhanced extended model has the best explanatory power for the behavioral intention in the sharing economy. We also examined the moderating effects of platform type and economic development level to discover the sources of the inconsistent outcomes of previous studies. The findings show that each relationship varies significantly across platform types, and most relationships are higher in the accommodation-sharing scenario. Besides, the results of the moderating effect of economic development level demonstrate that perceived ease of use and perceived usefulness have a stronger influence on attitude in developed countries. Still, trust has a larger effect on behavioral intention in developing countries.

You get us, so you like us: Feeling understood by an outgroup predicts more positive intergroup relations via perceived positive regard.

Intergroup felt understanding-the belief that outgroup members understand and accept ingroup perspectives-has been found to predict positive intergroup outcomes, but the mechanism through which it has its positive effects is unclear. Across eight studies, we tested the hypothesis that felt positive regard-the perception that outgroup members like and respect ingroup members-mediates the positive effects of felt understanding on outcomes like outgroup trust. Studies 1-6 (total N = 1,366) included cross-sectional and experimental designs and a range of intergroup settings such as Sunni-Shia relations in Lebanon, gender relations, and support for "Brexit" in the United Kingdom. Results of meta-analytic structural equation models across these studies provided evidence of the indirect effect of felt understanding via felt positive regard on outcomes including trust and positive relational emotions. Study 7 (N = 307) then tested the causal effect of felt positive regard through a direct manipulation. Findings confirmed that felt positive (vs. negative) regard did lead to more positive intergroup perceptions. Finally, Study 8 (N = 410) tested the indirect effect as a within-person change process using a year-long, two-wave study of the conflict in Chile between Indigenous Mapuche and Non-Indigenous Chileans: Change over time in felt understanding indirectly predicted change over time in trust via change in felt positive regard. We consider the theoretical implications of the findings for how intergroup relations may be improved and the possibilities presented by felt understanding for intervention development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The J shaped association of age at menarche and cardiovascular events: systematic review and meta-analysis

This study aimed to evaluate the association between age at menarche and cardiovascular (CV) events through a systematic review and meta-analysis of observational studies. A comprehensive literature search covering studies published from January 1, 2000, to October 31, 2023, was conducted in PubMed, MEDLINE, Embase, and Scopus. Twenty-nine observational studies involving 4,931,160 adult women aged 18 years or older were included. The meta-analysis revealed a J-shaped association between age at menarche and CV events. Individuals with menarche at 12–13 years exhibited the lowest risk, while those with younger (≤ 11 years) or older ages (14–15 years and ≥ 16 years) showed an increased risk. Notably, individuals with age at menarche of 16 years and older had the highest risk of CV events. The pooled odds of CV mortality in age at menarche categories 14–15 years and ≥ 16 years were 37% (OR: 1.37, 95% CI 1.14–1.64, I2: 76.9%) and 64% (OR: 1.64, 95% CI 1.20–2.24, I2: 87%) higher than referent age at menarche 12–13 years. No statistically significant difference was found in CV mortality risk between individuals with age at menarche ≤ 11 years and those with age at menarche 12–13 years. The ORs for coronary heart disease were significantly higher for age at menarche ≥ 16 years (35% increase), while no significant difference was found for age at menarche ≤ 11 years or 14–15 years compared to age at menarche 12–13 years. Regarding stroke, the ORs for age at menarche ≤ 11, 14–15, and ≥ 16 years were significantly higher (7%, 24%, and 94% increase, respectively) compared to age at menarche 12–13 years. Dose–response meta-analysis and one-stage random-effect cubic spline models confirmed the J-shaped risk pattern. Meta-regression indicated that age and BMI were not significant sources of heterogeneity. Sensitivity analyses and the absence of publication bias further supported the robustness of the findings. This study concludes that age at menarche is independently associated with CV events, with a J-shaped pattern. The findings underscore the significance of considering menarche age as an independent risk factor for CV events. Further research is warranted to validate these findings and explore potential underlying mechanisms.

The Efficacy and Safety of Different Targeted Drugs for the Treatment of Generalized Myasthenia Gravis: A Systematic Review and Bayesian Network Meta-analysis.

The treatment of generalized myasthenia gravis (gMG) has been transformed by the development and approval of new targeted therapies. This analysis aimed to rank and compare the new therapies for gMG using efficacy and safety data from randomized controlled trials (RCTs). We searched PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov (up to November 2022) for RCTs of targeted drugs for gMG. We used a Bayesian random-effects network meta-analysis (NMA) model and a Markov chain Monte Carlo (MCMC) model for statistical analysis. The primary outcome was the change in quantitative myasthenia gravis score (QMGS) from baseline, while the secondary outcome was the risk ratio (RR) of adverse events (AEs) during treatment. The surface under the cumulative ranking curve (SUCRA) was used to rank these targeted drugs, with higher SUCRA values indicating better efficacy or lower likelihood of AEs. In total, 13 studies (872 subjects) were included in this analysis evaluating 10 targeted drugs (batoclimab, belimumab, CFZ533, eculizumab, efgartigimod, nipocalimab, rituximab, ravulizumab, rozanolixizumab, and zilucoplan). With regards to the primary outcome, batoclimab [standardized mean difference (SMD), - 1.61; 95% credible interval (CrI), - 2.78, - 0.43] significantly reduced QMGS in patients with gMG when compared with placebo and was ranked as the most efficacious drug. Ranked second and third were eculizumab (SMD, - 0.67; 95% CrI, 1.43, 0.01) and zilucoplan (SMD, - 0.54; 95% CrI, - 1.56, 0.46), respectively. Nipoclimab (SMD, - 0.02; 95% CrI, - 1.04, 1.00) had the worst efficacy and ranked last among all targeted drugs. In our study, except for batoclimab, there was no statistically significant difference in the reduction of patient QMGS for the remaining targeted agents compared with placebo. With regards to the secondary outcomes, only batoclimab (RR, 0.19; 95% CrI, 0, 0.97) led to a significant reduction in the incidence of AEs when compared with the placebo. Belimumab (RR, 0.85; 95% CrI, 0.57, 1.19), CFZ533 (RR, 0.95; 95% CrI, 0.72, 1.25), eculizumab (RR, 0.99; 95% CrI, 0.85, 1.21), and efgartigimod (RR, 0.93; 95% CrI, 0.76, 1.15) also led to a lower incidence of AEs, although these effects were not significantly different from the placebo. Batoclimab had the best efficacy and safety for the treatment of gMG and was ranked first out of the 10 targeted drugs included in this study. Eculizumab was ranked second, and nipocalimab had the worst efficacy. With the exception of batoclimab,the incidence of AEs for the remaining drugs was not statistically significantly different from placebo. We note, however, that wide CrIs reflect the uncertainty in this analysis owing to the small number of available studies and low numbers of study participants; moreover, batoclimab had the widest CrI of all drugs in this analysis. More well-designed studies with long-term follow-up are needed to further evaluate and compare the efficacy and safety of these drugs in the future.

Association of physical behaviours with sarcopenia in older adults: a systematic review and meta-analysis of observational studies

Physical behaviours (ie, physical activity and sedentary behaviour) might have a role in the development of sarcopenia, although the evidence is unclear. We aimed to explore the association of total and intensity-specific levels of physical activity and sedentary behaviour with sarcopenia and its components (ie, muscle mass, muscle strength, and physical performance) in older adults. We conducted a systematic review and meta-analysis and searched MEDLINE (via PubMed), Scopus, and Web of Science from inception to July 26, 2022, for peer-reviewed, observational studies or baseline data from randomised clinical trials conducted in older adults (ie, individual age ≥60 years or mean age ≥65 years) and published in English that reported on the association of physical activity or sedentary behaviour or both with sarcopenia (or its determinants: muscle mass or strength, and physical performance). Physical activity and sedentary behaviour were measured by any method. The main outcome was sarcopenia, which could be diagnosed by any means. Estimates were extracted and pooled using Bayesian meta-analytic models and publication bias was assessed using the Egger's test. This study is registered with PROSPERO, CRD42022315865. We identified 15 766 records, of which 124 studies (230 174 older adults; 121 301 [52·7%] were female and 108 873 [47·3%] were male) were included in the systematic review. 86 studies were subsequently included in the meta-analysis. Higher levels of total physical activity were inversely associated with sarcopenia both cross-sectionally (21 studies, n=59 572; odds ratio 0·49, 95% credible interval 0·37-0·62) and longitudinally (four studies, n=7545; 0·51, 0·27-0·94). A protective association was also identified for moderate-to-vigorous physical activity in cross-sectional research (five studies, n=6787; 0·85, 0·71-0·99), whereas no association was identified for the remaining physical behaviours (ie, steps, light physical activity, or sedentary behaviour). Total and moderate-to-vigorous physical activity are inversely associated with sarcopenia. These findings might support the importance of moderate-to-vigorous, rather than light, intensity physical activity-based interventions to prevent sarcopenia. None. For the Spanish translation of the abstract see Supplementary Materials section.

Species sensitivities to artificial light at night: A phylogenetically controlled multilevel meta-analysis on melatonin suppression.

The rapid urbanization of our world has led to a surge in artificial lighting at night (ALAN), with profound effects on wildlife. Previous research on wildlife's melatonin, a crucial mechanistic indicator and mediator, has yielded inconclusive evidence due to a lack of comparative analysis. We compiled and analysed an evidence base including 127 experiments with 437 observations across 31 wild vertebrates using phylogenetically controlled multilevel meta-analytic models. The evidence comes mainly from the effects of white light on melatonin suppression in birds and mammals. We show a 36% average decrease in melatonin secretion in response to ALAN across a diverse range of species. This effect was observed for central and peripheral melatonin, diurnal and nocturnal species, and captive and free-living populations. We also reveal intensity-, wavelength-, and timing-dependent patterns of ALAN effects. Exposure to ALAN led to a 23% rise in inter-individual variability in melatonin suppression, with important implications for natural selection in wild vertebrates, as some individuals may display higher tolerance to ALAN. The cross-species evidence has strong implications for conservation of wild populations that are subject to natural selection of ALAN. We recommend measures to mitigate harmful impacts of ALAN, such as using 'smart' lighting systems to tune the spectra to less harmful compositions.

The efficacy of cognitive behavioral therapies for depression in China in comparison with the rest of the world: A systematic review and meta-analysis.

There is consistent evidence that cognitive behavioral therapies (CBTs) are effective interventions for adult depression. While some evidence has compared these effects in different countries, no prior systematic review and meta-analysis has compared the efficacy of CBTs between Chinese and people from the rest of the world. The current meta-analysis addressed this gap by a systematic review of eligible studies from Chinese and worldwide databases. Hedges' g was calculated using a random-effects model. Subgroup analyses and multilevel meta-analytic models were conducted to examine the relationship among effect sizes and the characteristics in Chinese studies. Metaregression analyses were conducted to explore the difference of the efficacy of CBTs between Chinese studies and non-Chinese studies after controlling for the moderators. A total of 34 (n = 3,710) studies in China and 307 (n = 30,333) studies from the rest of the world were included. The effect size of CBTs on depression for Chinese participants was 1.19 (95% CI [0.86, 1.52]), which was higher (Q = 4.63, p = .03) than the effect size of the rest of the world (0.82, 95% CI [0.74, 0.90]). After controlling for moderators, the effect size of Chinese studies was still higher than non-Chinese studies (β = 0.351, p = .011). CBTs are effective interventions for adult depression and deserve more attention in China for depression management. Moderators related to study design, clinical features, and cultural factors need to be considered in the interpretation of the results. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Minimal clinically important change of knee flexion in people with knee osteoarthritis after non-surgical interventions using a meta-analytical approach

BackgroundMinimal clinically important change (MCIC) represents the minimum patient-perceived improvement in an outcome after treatment, in an individual or within a group over time. This study aimed to determine MCIC of knee flexion in people with knee OA after non-surgical interventions using a meta-analytical approach.MethodsFour databases (MEDLINE, Cochrane, Web of Science and CINAHL) were searched for studies of randomised clinical trials of non-surgical interventions with intervention duration of ≤ 3 months that reported change in (Δ) (mean change between baseline and immediately after the intervention) knee flexion with Δ pain or Δ function measured using tools that have established MCIC values. The risk of bias in the included studies was assessed using version 2 of the Cochrane risk-of-bias tool for randomised trials (RoB 2). Bayesian meta-analytic models were used to determine relationships between Δ flexion with Δ pain and Δ function after non-surgical interventions and MCIC of knee flexion.ResultsSeventy-two studies (k = 72, n = 5174) were eligible. Meta-analyses included 140 intervention arms (k = 61, n = 4516) that reported Δ flexion with Δ pain using the visual analog scale (pain-VAS) and Δ function using the Western Ontario and McMaster Universities Osteoarthritis Index function subscale (function-WOMAC). Linear relationships between Δ pain at rest-VAS (0–100 mm) with Δ flexion were − 0.29 (− 0.44; − 0.15) (β: posterior median (CrI: credible interval)). Relationships between Δ pain during activity VAS and Δ flexion were − 0.29 (− 0.41, − 0.18), and Δ pain-general VAS and Δ flexion were − 0.33 (− 0.42, − 0.23). The relationship between Δ function-WOMAC (out of 100) and Δ flexion was − 0.15 (− 0.25, − 0.07). Increased Δ flexion was associated with decreased Δ pain-VAS and increased Δ function-WOMAC. The point estimates for MCIC of knee flexion ranged from 3.8 to 6.4°.ConclusionsThe estimated knee flexion MCIC values from this study are the first to be reported using a novel meta-analytical method. The novel meta-analytical method may be useful to estimate MCIC for other measures where anchor questions are problematic.Systematic review registrationPROSPERO CRD42022323927.

Meta-Analysis of Normal Reference Values for Right and Left Ventricular Quantification by Cardiovascular Magnetic Resonance.

Cardiovascular magnetic resonance (CMR) reference values are relied upon to accurately diagnose left ventricular (LV) and right ventricular (RV) pathologies. To date, reference values have been derived from modest sample sizes with limited patient diversity and attention to 1 but not both commonly used tracing techniques for papillary muscles and trabeculations. We sought to overcome these limitations by meta-analyzing normal reference values for CMR parameters stemming from multiple countries, vendors, analysts, and patient populations. We comprehensively extracted published and unpublished data from studies reporting CMR parameters in healthy adults. A steady-state free-precession short-axis stack at 1.5T or 3T was used to trace either counting the papillary muscles and trabeculations in the LV volume or mass. We used a novel Bayesian hierarchical meta-analysis model to derive the pooled lower and upper reference values for each CMR parameter. Our model accounted for the expected differences between tracing techniques by including informative prior distributions from a large external data set. A total of 254 studies from 25 different countries were systematically reviewed, representing 12 812 healthy adults, of which 52 were meta-analyzed. For LV parameters counting papillary muscles and trabeculations in the LV volume, pooled normative reference ranges in men and women, respectively, were as follows: LV ejection fraction of 52% to 73% and 54% to 75%, LV end-diastolic volume index of 60 to 109 and 56 to 96 mL/m2, LV end-systolic volume index of 18 to 45 and 16 to 38 mL/m2, and LV mass index of 41 to 76 and 33 to 57 g/m2. For LV parameters counting papillary muscles and trabeculations in the LV mass, pooled normative reference ranges in men and women, respectively, were as follows: LV ejection fraction of 57% to 74% and 57% to 75%, LV end-diastolic volume index of 60 to 97 and 55 to 88 mL/m2, LV end-systolic volume index of 18 to 37 and 15 to 34 mL/m2, and LV mass index of 50 to 83 and 38 to 65 g/m2. For RV parameters, pooled normative reference ranges in men and women, respectively, were as follows: RV ejection fraction of 47% to 68% and 49% to 71%, RV end-diastolic volume index of 64 to 115 and 57 to 99 mL/m2, RV end-systolic volume index of 23 to 52 and 18 to 42 mL/m2, and RV mass index of 14 to 29 and 13 to 25 g/m2. Our Bayesian hierarchical meta-analysis provides normative reference values for CMR parameters of LV and RV size, systolic function, and mass, encompassing both tracing techniques across a diverse multinational sample of healthy men and women.

Abstract WP210: Intensive vs. Conventional Blood Pressure Management After Thrombectomy for Acute Ischemic Stroke: Systemic Review and Meta-Analysis of Randomized Controlled Trials

Background: Optimal Blood pressure management after thrombectomy for acute ischemic stroke and its association with clinical outcomes remains unclear. We performed this study to compare clinical outcomes between intensive systolic blood pressure (SBP) control (&lt;120-140mmHg) and conventional SBP control (&lt; 180mmHg). Methods: In September 2023, this registered systematic review (CRD42023464176) was performed using multiple databases for the following keywords: stroke, thrombectomy, and Blood Pressure from 2010 to present. Randomized control studies were included if they had the reported the outcome for adults aged &gt;18 who underwent successful thrombectomy (defined as mTICI 2b or higher) for acute ischemic stroke. The primary outcome of interest was the rate of functional independence, defined as a modified Rankin scale of 0-2 at 90 days. The secondary outcomes of interest included rates of mortality, and symptomatic intracranial hemorrhage (sICH). For all outcome events, corresponding odds ratios (OR) and 95% confidence intervals (CI) were calculated using a random-effects meta-analysis model. Results: Four studies comprising 1497 patients were included. Compared to conventional SBP control, intensive SBP control was associated with lower rates of functional independence (OR 0.67, 95% CI 0.51- 0.88 p=0.0). There were comparable rates of sICH (OR 1.12, 95% CI 0.75-1.67; p = 0.56) and mortality (OR 1.21, 95% CI 0.90-1.64; p = 0.19) between intensive and conventional SBP control groups. Conclusions: Our findings suggest that intensive blood pressure control does not improve clinical outcomes. More robust data is needed to draw definite conclusions.

Does maternal anxiety and depression increase the risk of asthma in the offspring? A systematic review and meta-analysis.

Adverse exposures during pregnancy have been linked with respiratory disorders in the offspring. Research also shows that maternal mental disorders can influence the risk of respiratory illnesses. We hereby systematically examined if specific mental disorders during pregnancy, namely, anxiety and depression, can increase the risk of asthma in the offspring. A literature search of PubMed, CENTRAL, Scopus, Embase, and Web of Science databases from inception to 15th October 2023 was undertaken for cohort studies assessing the association between maternal anxiety/depression and the risk of asthma in the offspring. Adjusted data was quantitatively synthesized in a random-effect meta-analysis model. Nine studies with 1,027,469 mother-child pairs were included. Studies reported data on anxiety, depression, or both anxiety and depression. Maternal anxiety (OR: 1.61 95% CI: 1.29, 2.01 I2=0%), maternal depression (OR: 1.25 95% CI: 1.07, 1.45 I2=12%), and both combined (OR: 1.28 95% CI: 1.16, 1.41 I2=93%) were associated with significantly increase the risk of asthma in childhood. Overall, the pooled analysis showed that maternal anxiety or depression significantly increased the risk of asthma in childhood by 30% (OR: 1.30 95% CI: 1.20, 1.40 I2=75%). Results remained significant on multiple subgroup analyses. Maternal anxiety and depression can increase the risk of asthma in childhood. The observational nature of studies, differences in adjusted founders, methodological variations, and predominance of European data are important limitations. Further prospective research taking into account present limitations is needed for improved evidence.

Pulsed radiofrequency of lumbar dorsal root ganglion for lumbar radicular pain: A systematic review and meta-analysis.

Pulsed radiofrequency (PRF) of the lumbar dorsal root ganglion (DRG) has been widely used as a method to relieve lumbar radicular pain (LRP). However, the value of PRF application in LRP patients remains uncertain. This systematic review aimed to compare the effects of PRF of lumbar DRG and LEI in patients with LRP. A literature search was performed using well-known databases for articles published up to May 2023. We included randomized controlled trials (RCTs) that evaluated the effects of PRF compared to LEI with or without steroids. We screened articles, extracted data, and assessed risk of bias in duplicate. The pain scores and Oswestry Disability Index (ODI) scores at 1, 3, and 6 months after procedures were obtained. A random-effects meta-analysis model was applied for outcomes. We evaluated evidence certainty for each outcome using the GRADE scoring system. This review was registered in the PROSPERO (ID: CRD42021253628). A total of 10 RCTs were included and data of 613 patients were retrieved. We assessed the overall quality of the evidence as very low to moderate. PRF showed no difference in pain scores at 1 (mean difference [MD] -0.80, 95% confidence interval [CI] -1.59 to 0.00, low certainty) and 6 months (MD -2.37, 95% CI -4.79 to 0.05, very low certainty), and significantly improved pain scores at 3 months (MD -1.31, 95% CI -2.29 to -0.33, low certainty). There was no significant difference in ODI score at any interval (very low to low certainty). In the subgroup who underwent a diagnostic block, did not use steroids, and PRF duration greater than 360 s, PRF significantly reduced pain scores at 3 months after procedures. We found low quality of the evidence supporting adjuvant PRF to the lumbar DRG has a greater analgesic effect at 3 months after procedures in patients with LRP than LEI. We identified no convincing evidence to show that this treatment improves function. High-quality evidence is lacking, and data were largely derived from short-term effects. Given these limitations, high-quality trials with data on long-term effects are needed.

Artificial intelligence in fracture detection with different image modalities and data types: A systematic review and meta-analysis.

Artificial Intelligence (AI), encompassing Machine Learning and Deep Learning, has increasingly been applied to fracture detection using diverse imaging modalities and data types. This systematic review and meta-analysis aimed to assess the efficacy of AI in detecting fractures through various imaging modalities and data types (image, tabular, or both) and to synthesize the existing evidence related to AI-based fracture detection. Peer-reviewed studies developing and validating AI for fracture detection were identified through searches in multiple electronic databases without time limitations. A hierarchical meta-analysis model was used to calculate pooled sensitivity and specificity. A diagnostic accuracy quality assessment was performed to evaluate bias and applicability. Of the 66 eligible studies, 54 identified fractures using imaging-related data, nine using tabular data, and three using both. Vertebral fractures were the most common outcome (n = 20), followed by hip fractures (n = 18). Hip fractures exhibited the highest pooled sensitivity (92%; 95% CI: 87-96, p< 0.01) and specificity (90%; 95% CI: 85-93, p< 0.01). Pooled sensitivity and specificity using image data (92%; 95% CI: 90-94, p< 0.01; and 91%; 95% CI: 88-93, p < 0.01) were higher than those using tabular data (81%; 95% CI: 77-85, p< 0.01; and 83%; 95% CI: 76-88, p < 0.01), respectively. Radiographs demonstrated the highest pooled sensitivity (94%; 95% CI: 90-96, p < 0.01) and specificity (92%; 95% CI: 89-94, p< 0.01). Patient selection and reference standards were major concerns in assessing diagnostic accuracy for bias and applicability. AI displays high diagnostic accuracy for various fracture outcomes, indicating potential utility in healthcare systems for fracture diagnosis. However, enhanced transparency in reporting and adherence to standardized guidelines are necessary to improve the clinical applicability of AI. Review Registration: PROSPERO (CRD42021240359).

Methods for meta-analysis and meta-regression of binomial data: concepts and tutorial with Stata command metapreg

BackgroundDespite the widespread interest in meta-analysis of proportions, its rationale, certain theoretical and methodological concepts are poorly understood. The generalized linear models framework is well-established and provides a natural and optimal model for meta-analysis, network meta-analysis, and meta-regression of proportions. Nonetheless, generic methods for meta-analysis of proportions based on the approximation to the normal distribution continue to dominate.MethodsWe developed metapreg, a tool with advanced statistical procedures to perform a meta-analysis, network meta-analysis, and meta-regression of binomial proportions in Stata using binomial, logistic and logistic-normal models. First, we explain the rationale and concepts essential in understanding statistical methods for meta-analysis of binomial proportions and describe the models implemented in metapreg. We then describe and demonstrate the models in metapreg using data from seven published meta-analyses. We also conducted a simulation study to compare the performance of metapreg estimators with the existing estimators of the population-averaged proportion in metaprop and metan under a broad range of conditions including, high over-dispersion and small meta-analysis.Conclusionmetapreg is a flexible, robust and user-friendly tool employing a rigorous approach to evidence synthesis of binomial data that makes the most efficient use of all available data and does not require ad-hoc continuity correction or data imputation. We expect its use to yield higher-quality meta-analysis of binomial proportions.

How Collective Efficacy Mediates the Association between Principal Instructional Leadership and Teacher Self-Efficacy: Findings from a Meta-Analytic Structural Equation Modeling (MASEM) Study.

Principal instructional leadership (PIL) is significant for school effectiveness due to its direct and indirect influences on school-, teacher-, and student-level variables. A considerable number of studies have provided persuasive evidence that PIL is associated with both collective efficacy (CEF) and teacher self-efficacy (TSEF), two significant variables to sustain the quality of instruction. These studies were conducted with a variety of participants from various contexts. The current study aims to investigate the association between PIL and TSEF, and the mediating role of CEF in this association using meta-analytical structural equation modeling (MASEM). This analysis was conducted using the correlation values obtained from 26 studies focusing on their relationship and included data from a population of 19.584 participants from around the world, thus providing a more generalizable perspective on these variables. The results indicated that PIL was correlated with both CEF and TSEF, and the combined influence of PIL and CEF on TSEF was 31%. The study findings also showed that the scales used to measure PIL could produce different results regarding these relationships, while gender did not have a significant effect. These results suggest significant implications for researchers, policymakers, and practitioners to sustain school effectiveness in the fast-changing context of schools in the twenty-first century.