Estimation Meta-analysis Research Articles

Assessing the value of the water drinking test in glaucoma-a systematic review and meta-analysis.

This systematic review and meta-analysis examines the relationship between intraocular pressure (IOP) parameters derived from the water drinking test (WDT) and diurnal IOP monitoring, and evaluates the reproducibility of the WDT and its association with future glaucomatous visual field (VF) loss. A literature search was performed on PubMed, EMBASE, and Cochrane Library from inception to 31 March 2023. Cohort, cross-sectional and observational studies reporting WDT results in glaucoma patients were included. Meta analysis with random-effect model was performed using "metafor" package in R version 3.2.1. 641 studies were identified on initial literature search. 38 studies (2479 subjects) were included in final analysis. Meta-analytic estimates of 5 studies (310 subjects) found strong positive correlation in peak IOP between the WDT and diurnal IOP monitoring (r = 0.92, 95% CI = 0.75, 1.08, p < 0.0001). However, there was only weak positive correlation for IOP fluctuation between both methods (r = 0.26, 95% CI = 0.06,0.47, p < 0.0001). Meta-analytic estimates of 3 studies (189 subjects) suggested a trend of the diurnal peak IOP being lower than that derived from the WDT (MD = -2.37 mmHg, 95% Limit of Agreement (LOA) =-5.58,0.84, p = 0.147). Two studies found that a higher WDT peak IOP was associated with greater future VF progression. Two studies demonstrated good reproducibility in peak IOP measurements for WDTs conducted across different days. In conclusion, there was a strong positive correlation between IOP peak measurements from the WDT and diurnal IOP monitoring in glaucoma patients. The WDT peak IOP demonstrated good reproducibility and may be associated with greater future VF progression.

The Computer-Mediated Online Round Robin (CMORR): An Online Method for Studying Impressions and Social Interactions

Research on impressions and social interactions has predominately examined perceptions of artificial stimuli or those made by convenience samples of undergraduates. In the present work, we introduce and validate a new experimental method, the Computer-Mediated Online Round Robin (CMORR), with the aim of providing researchers a tool to extend the study of interpersonal phenomena to more diverse populations. We describe the method and provide guidance for future CMORR studies. We collected CMORR data from an undergraduate sample ( N = 171), and compared the structure and accuracy of impressions of Big Five personality trait to two in-person studies; one with group interactions ( N = 225), one with dyadic interactions ( N = 511), and meta-analytic estimates from the literature. The results showed a general correspondence between impressions formed in online interactions and in in-person contexts. The findings support using CMORR to study general questions about impressions and social interactions.

Digital Health Interventions and Patient Safety in Abdominal Surgery

Over the past 2 decades, several digital technology applications have been used to improve clinical outcomes after abdominal surgery. The extent to which these telemedicine interventions are associated with improved patient safety outcomes has not been assessed in systematic and meta-analytic reviews. To estimate the implications of telemedicine interventions for complication and readmission rates in a population of patients with abdominal surgery. PubMed, Cochrane Library, and Web of Science databases were queried to identify relevant randomized clinical trials (RCTs) and nonrandomized studies published from inception through February 2023 that compared perioperative telemedicine interventions with conventional care and reported at least 1 patient safety outcome. Two reviewers independently screened the titles and abstracts to exclude irrelevant studies as well as assessed the full-text articles for eligibility. After exclusions, 11 RCTs and 8 cohort studies were included in the systematic review and meta-analysis and 7 were included in the narrative review. Data were extracted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline and assessed for risk of bias by 2 reviewers. Meta-analytic estimates were obtained in random-effects models. Number of complications, emergency department (ED) visits, and readmissions. A total of 19 studies (11 RCTs and 8 cohort studies) with 10 536 patients were included. The pooled risk ratio (RR) estimates associated with ED visits (RR, 0.78; 95% CI, 0.65-0.94) and readmissions (RR, 0.67; 95% CI, 0.58-0.78) favored the telemedicine group. There was no significant difference in the risk of complications between patients in the telemedicine and conventional care groups (RR, 1.05; 95% CI, 0.77-1.43). Findings of this systematic review and meta-analysis suggest that perioperative telehealth interventions are associated with reduced risk of readmissions and ED visits after abdominal surgery. However, the mechanisms of action for specific types of abdominal surgery are still largely unknown and warrant further research.

Comparative efficacy and safety of weekly dulaglutide versus weekly insulin in type 2 diabetes: A network meta-analysis of randomized clinical trials

BackgroundAdvancements in type 2 diabetes mellitus (T2DM) therapy, notably with weekly agents like glucagon-like peptide-1 receptor agonists (GLP-RAs) such as dulaglutide, offer promising outcomes in clinical practice. The emergence of once-weekly insulin adds to this therapeutic arsenal. This research aims to explore and compare the efficacy and safety profiles of these agents in diabetes management, facilitating informed decision-making for optimizing their utilization in clinical practice. MethodsA systematic search of PubMed, Scopus, Cochrane, and Web of Science databases was conducted. The research protocol was registered at OSF registries (https://osf.io/gd67x). The primary outcome of interest was the change in hemoglobin A1C (HbA1c), with secondary outcomes including the change in fasting plasma glucose, body weight, prevalence of hypoglycemia, and treatment discontinuation due to adverse events. The evaluation of bias risk was conducted utilizing the RoB2 tool developed by the Cochrane Collaboration. Statistical analysis was performed using RStudio version 4.3.2 with the meta package version 7.0–0 and the netmeta package version 2.9–0. Confidence in network meta-analysis estimates was evaluated using the CINeMA (Confidence In Network Meta-Analysis). Heterogeneity was assessed by comparing the magnitude of the common between-study variance (τ2) for each outcome with empirical distributions of heterogeneity variances. ResultsDulaglutide 1.5 mg (mg) weekly demonstrated superior reduction in hemoglobin A1C (HbA1c) compared to insulin, with a mean difference (MD) of −0.35 (95 % CI: −0.51 to −0.19). Additionally, Dulaglutide 1.5 mg exhibited greater weight loss, with an MD of −3.12 (95 % CI: −3.55 to −2.68). However, it also showed a higher rate of adverse events, with an odds ratio (OR) of 1.40 (95 % CI: 1.12 to 1.75) compared to insulin. Both doses of Dulaglutide (1.5 mg and 0.75 mg) had lower prevalence of hypoglycemia compared to insulin, with ORs of 0.60 (95 % CI: 0.41 to 0.87) and 0.59 (95 % CI: 0.41 to 0.86), respectively. There was no significant difference in treatment discontinuation among the treatment groups. ConclusionDulaglutide, particularly at higher doses, demonstrates superior efficacy in lowering hemoglobin A1C and reducing hypoglycemia risk compared to Icodec insulin in type 2 diabetes management. However, its use is also associated with a higher incidence of adverse events. Clinicians should carefully consider these factors when selecting optimal treatment strategies for patients with type 2 diabetes mellitus.

The effectiveness of abstinence-based and harm reduction-based interventions in reducing problematic substance use in adults who are experiencing homelessness in high income countries: A systematic review and meta-analysis: A systematic review.

The effectiveness of abstinence-based and harm reduction-based interventions in reducing problematic substance use in adults who are experiencing homelessness in high income countries: A systematic review and meta-analysis: A systematic review.

Long-term Impact of Tropical Cyclones on Disease Exacerbation Among Children with Asthma in the Eastern United States, 2000-2018.

Tropical cyclones are associated with acute increases in mortality and morbidity, but few studies have examined their longer-term health consequences. We assessed whether tropical cyclones are associated with a higher frequency of symptom exacerbation among children with asthma in the following 12 months in eastern United States counties, 2000-2018. We defined exposure to tropical cyclones as a maximum sustained windspeed >21 meters/second at the county center and used coarsened exact matching to match each exposed county to one or more unexposed counties. We used longitudinal, de-identified administrative claims data to estimate the county-level, monthly risk of experiencing at least one asthma exacerbation requiring medical attention among commercially insured children aged 5-17 with prior diagnosis of asthma. We used a difference-in-differences approach implemented via a Poisson fixed effects model to compare the risk of asthma exacerbation in the 12 months before versus after each storm in exposed versus unexposed counties. Across 43 tropical cyclones impacting the eastern United States, we did not observe evidence of an increase in the risk of symptom exacerbation in the 12 months following the storm (random-effects meta-analytic summary estimate: risk ratio = 1.03 [95% confidence interval = 0.96, 1.10], I2 = 17%). However, certain storms, such as Hurricane Sandy, were associated with a higher risk of symptom exacerbation. These findings are consistent with the hypothesis that some tropical cyclones are detrimental to children's respiratory health. However, tropical cyclones were not associated in aggregate with long-term exacerbation of clinically apparent asthma symptoms among a population of children with commercial health insurance.

Learning competing risks across multiple hospitals: one-shot distributed algorithms.

To characterize the complex interplay between multiple clinical conditions in a time-to-event analysis framework using data from multiple hospitals, we developed two novel one-shot distributed algorithms for competing risk models (ODACoR). By applying our algorithms to the EHR data from eight national children's hospitals, we quantified the impacts of a wide range of risk factors on the risk of post-acute sequelae of SARS-COV-2 (PASC) among children and adolescents. Our ODACoR algorithms are effectively executed due to their devised simplicity and communication efficiency. We evaluated our algorithms via extensive simulation studies as applications to quantification of the impacts of risk factors for PASC among children and adolescents using data from eight children's hospitals including the Children's Hospital of Philadelphia, Cincinnati Children's Hospital Medical Center, Children's Hospital of Colorado covering over 6.5 million pediatric patients. The accuracy of the estimation was assessed by comparing the results from our ODACoR algorithms with the estimators derived from the meta-analysis and the pooled data. The meta-analysis estimator showed a high relative bias (∼40%) when the clinical condition is relatively rare (∼0.5%), whereas ODACoR algorithms exhibited a substantially lower relative bias (∼0.2%). The estimated effects from our ODACoR algorithms were identical on par with the estimates from the pooled data, suggesting the high reliability of our federated learning algorithms. In contrast, the meta-analysis estimate failed to identify risk factors such as age, gender, chronic conditions history, and obesity, compared to the pooled data. Our proposed ODACoR algorithms are communication-efficient, highly accurate, and suitable to characterize the complex interplay between multiple clinical conditions. Our study demonstrates that our ODACoR algorithms are communication-efficient and can be widely applicable for analyzing multiple clinical conditions in a time-to-event analysis framework.

Effect of complete mesocolic excision (cme) on long-term survival after right colectomy for cancer: multivariate meta-analysis and restricted mean survival time estimation.

Debate exists concerning the impact of complete mesocolic excision (CME) on long-term oncological outcomes. The aim of this review was to condense the updated literature and assess the effect of CME on long-term survival after right colectomy for cancer. PubMed, MEDLINE, Scopus, and Web of Science were searched through July 2023. The included studies evaluated the effect of CME on survival. The primary outcome was long-term overall survival. Restricted mean survival time difference (RMSTD), hazard ratio (HR), and 95% confidence intervals (CI) were used as pooled effect size measures. GRADE methodology was used to summarize the certainty of evidence. Ten studies (3665 patients) were included. Overall, 1443 (39.4%) underwent CME. The RMSTD analysis shows that at 60-month follow-up, stage I-III CME patients lived 2.5months (95% CI 1.1-4.1) more on average compared with noCME patients. Similarly, stage III patients that underwent CME lived longer compared to noCME patients at 55-month follow-up (6.1months; 95% CI 3.4-8.5). The time-dependent HRs analysis for CME vs. noCME (stage I-III disease) shows a higher mortality hazard in patients with noCME at 6months (HR 0.46, 95% CI 0.29-0.71), 12months (HR 0.57, 95% CI 0.43-0.73), and 24months (HR 0.73, 95% CI 0.57-0.92) up to 27months. This study suggests that CME is associated with unclear OS benefit in stage I-III disease. Caution is recommended to avoid overestimation of the effect of CME in stage III disease since the marginal benefit of a more extended resection may have been influenced by tumor biology/molecular profile and multimodal adjuvant treatments.

Intraindividual variability in parental acceptance-rejection predicts externalizing and internalizing symptoms across childhood/adolescence in nine countries.

Parenting that is high in rejection and low in acceptance is associated with higher levels of internalizing (INT) and externalizing (EXT) problems in children and adolescents. These symptoms develop and can increase in severity to negatively impact adolescents' social, academic, and emotional functioning. However, there are two major gaps in the extant literature: (a) nearly all prior research has focused on between-person differences in acceptance/rejection at the expense of examining intraindividual variability (IIV) across time in acceptance/rejection; and (b) no prior studies examine IIV in acceptance/rejection in diverse international samples. The present study utilized six waves of data with 1,199 adolescents' families living in nine countries from the Parenting Across Cultures study to test the hypotheses that (1) higher amounts of youth IIV in mother acceptance/rejection predict higher internalizing and (2) externalizing symptoms, and (3) that higher youth IIV in father acceptance/rejection predict higher internalizing, and (4) externalizing symptoms. Meta-analytic techniques indicated a significant, positive effect of IIV in child-reported mother and father acceptance/rejection on adolescent externalizing symptoms, and a significant positive effect of IIV in father acceptance/rejection on internalizing symptoms. The weighted effect for mother acceptance/rejection on internalizing symptoms was not statistically significant. Additionally, there was significant heterogeneity in all meta-analytic estimates. More variability over time in experiences of parental acceptance/rejection predicts internalizing and externalizing symptoms as children transition into adolescence, and this effect is present across multiple diverse samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Meta-analytical estimates of interrater reliability for direct supervisor performance ratings: Optimism under optimal measurement designs.

Performance appraisal (PA) is used for various organizational purposes and is vital to human resources practices. Despite this, current estimates of PA reliability are low, leading to decades of criticism regarding the use of PA in organizational contexts. In this article, we argue that current meta-analytical interrater reliability (IRR) coefficients are underestimates and do not reflect the reliability of interest to most practitioners and researchers-the reliability of an employee's direct supervisor. To establish the reliability of direct supervisor ratings, those making PA ratings must directly supervise employee job performance instead of nonparallel rater designs (e.g., direct supervisor ratings correlated with ratings from a more senior leader). The current meta-analysis identified 22 independent samples that met this more restrictive study inclusion criterion, finding an average observed IRR of .65. We also report reliability estimates for several important contextual moderators, including whether ratings were completed in operational settings (.60) or for research purposes (.67). In sum, we argue that this study's meta-analytical IRR estimates are the best available estimates of direct supervisor reliability and should be used to guide future research and practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Comparison of bias adjustment in meta-analysis using data-based and opinion-based methods.

Several methods exist for bias adjustment of meta-analysis results, but there has been no comprehensive comparison with unadjusted methods. We compare 6 bias-adjustment methods with 2 unadjusted methods to examine how these different methods perform. We re-analyzed a meta-analysis that included 10 randomized controlled trials. Two data-based methods (Welton's data-based approach and Doi's quality effects model) and 4 opinion-informed methods (opinion-based approach, opinion-based distributions combined statistically with data-based distributions, numerical opinions informed by data-based distributions, and opinions obtained by selecting areas from data-based distributions) were used to incorporate methodological quality information into the meta-analytical estimates. The results of these 6 methods were compared with 2 unadjusted models: the DerSimonian-Laird random effects model and Doi's inverse variance heterogeneity model. The 4 opinion-based methods returned the random effects model estimates with wider uncertainty. The data-based and quality effects methods returned different results and aligned with the inverse variance heterogeneity method with some minor downward bias adjustment. Opinion-based methods seem to only add uncertainty rather than bias adjust.

An exemplary reanalysis of coronary computed tomography angiography diagnostic meta-analyses shows insufficient data sharing and incorrect sensitivity and specificity estimates

ObjectivesTo systematically evaluate the reproducibility of primary data and, the reproducibility and correctness of pooled sensitivity and specificity estimates reported in a sample of diagnostic meta-analyses. Study Design and SettingWe conducted an exemplary systematic review of diagnostic meta-analyses comparing coronary computed tomography angiography to invasive coronary angiography in patients with suspected coronary artery disease. The objectives were to assess 1) the reproducibility of contingency tables, 2) the reproducibility of pooled sensitivity and specificity, and 3) differences to reported results when applying a recommended bivariate binomial model for pooling sensitivity and specificity. Therefore, we reproduced the contingency tables and recalculated sensitivity and specificity by utilizing both the pooling method of each meta-analysis and a bivariate binomial model. We used linear trends to assess the improvement of these objectives over time. ResultsWe identified 38 diagnostic meta-analyses, each including on average 19 primary studies (range: 3 to 89 studies; total: 715—including duplicates) with an average of approximately 1800 patients per meta-analysis (range: 118 to 7516 patients). For 31 meta-analyses (82%, 95% CI: 65%, 91%), the contingency tables were reproducible; however, only 15 published them. Using the pooling method of each meta-analysis, we obtained comparable recalculated sensitivities/specificities for 28 meta-analyses (74% [57%, 86%]). Only 11 meta-analyses pooled sensitivity/specificity using a bivariate binomial model (29% [16%, 46%]). When all meta-analyses were pooled with this model, published sensitivities/specificities were confirmed for 19 of 38 meta-analyses (50% [34%, 66%]). There was only marginal improvement in data availability and application of recommended pooling methods over time. ConclusionData sharing should become standard practice along with the use of appropriate pooling methods. Journal publication requirements may play a key role in enhancing the quality of scientific reporting and methodological standards which may lead to more reliable and consistent outcomes.The ability to reproduce sensitivity and specificity estimates in diagnostic imaging meta-analyses is dependent on the availability of contingency tables and the explicit reporting of pooling methods and software used.

Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study

BackgroundThe Interrupted Time Series (ITS) is a robust design for evaluating public health and policy interventions or exposures when randomisation may be infeasible. Several statistical methods are available for the analysis and meta-analysis of ITS studies. We sought to empirically compare available methods when applied to real-world ITS data.MethodsWe sourced ITS data from published meta-analyses to create an online data repository. Each dataset was re-analysed using two ITS estimation methods. The level- and slope-change effect estimates (and standard errors) were calculated and combined using fixed-effect and four random-effects meta-analysis methods. We examined differences in meta-analytic level- and slope-change estimates, their 95% confidence intervals, p-values, and estimates of heterogeneity across the statistical methods.ResultsOf 40 eligible meta-analyses, data from 17 meta-analyses including 282 ITS studies were obtained (predominantly investigating the effects of public health interruptions (88%)) and analysed. We found that on average, the meta-analytic effect estimates, their standard errors and between-study variances were not sensitive to meta-analysis method choice, irrespective of the ITS analysis method. However, across ITS analysis methods, for any given meta-analysis, there could be small to moderate differences in meta-analytic effect estimates, and important differences in the meta-analytic standard errors. Furthermore, the confidence interval widths and p-values for the meta-analytic effect estimates varied depending on the choice of confidence interval method and ITS analysis method.ConclusionsOur empirical study showed that meta-analysis effect estimates, their standard errors, confidence interval widths and p-values can be affected by statistical method choice. These differences may importantly impact interpretations and conclusions of a meta-analysis and suggest that the statistical methods are not interchangeable in practice.

Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery

Lumber disc herniation surgery can reduce pain and disability. However, a sizable minority of individuals experience minimal benefit, necessitating the development of accurate prediction models. To develop and validate prediction models for disability and pain 12 months after lumbar disc herniation surgery. A prospective, multicenter, registry-based prognostic study was conducted on a cohort of individuals undergoing lumbar disc herniation surgery from January 1, 2007, to May 31, 2021. Patients in the Norwegian Registry for Spine Surgery from all public and private hospitals in Norway performing spine surgery were included. Data analysis was performed from January to June 2023. Microdiscectomy or open discectomy. Treatment success at 12 months, defined as improvement in Oswestry Disability Index (ODI) of 22 points or more; Numeric Rating Scale (NRS) back pain improvement of 2 or more points, and NRS leg pain improvement of 4 or more points. Machine learning models were trained for model development and internal-external cross-validation applied over geographic regions to validate the models. Model performance was assessed through discrimination (C statistic) and calibration (slope and intercept). Analysis included 22 707 surgical cases (21 161 patients) (ODI model) (mean [SD] age, 47.0 [14.0] years; 12 952 [57.0%] males). Treatment nonsuccess was experienced by 33% (ODI), 27% (NRS back pain), and 31% (NRS leg pain) of the patients. In internal-external cross-validation, the selected machine learning models showed consistent discrimination and calibration across all 5 regions. The C statistic ranged from 0.81 to 0.84 (pooled random-effects meta-analysis estimate, 0.82; 95% CI, 0.81-0.84) for the ODI model. Calibration slopes (point estimates, 0.94-1.03; pooled estimate, 0.99; 95% CI, 0.93-1.06) and calibration intercepts (point estimates, -0.05 to 0.11; pooled estimate, 0.01; 95% CI, -0.07 to 0.10) were also consistent across regions. For NRS back pain, the C statistic ranged from 0.75 to 0.80 (pooled estimate, 0.77; 95% CI, 0.75-0.79); for NRS leg pain, the C statistic ranged from 0.74 to 0.77 (pooled estimate, 0.75; 95% CI, 0.74-0.76). Only minor heterogeneity was found in calibration slopes and intercepts. The findings of this study suggest that the models developed can inform patients and clinicians about individual prognosis and aid in surgical decision-making.

Sexually transmitted diseases and HIV co-infection among adult male patients in the 2022 monkeypox outbreak: a systematic review and meta-analysis.

This meta-analysis estimates sexually transmitted disease (STI) and HIV rates in male monkeypox patients during the 2022 outbreak. The study examines contextual factors that increase monkeypox risk. A systematic review of PubMed/Medline, Scopus, and Google Scholar was conducted to find observational studies on monkeypox patients' demographics and medical characteristics from the 2022 outbreak. This review's meta-analysis followed the System for the Unified Management, Assessment, and Review of Information - Joanna Briggs Institute (SUMARI JBI) guidelines. All HIV and STI prevalence data for male monkeypox patients was exported into the SUMARI JBI. For point prevalence of HIV and STIs, we used the Freeman-Tukey-type arcsine square root transformation to stabilize raw proportion variances. A fixed-effects model weighted and pooled all estimates by inverse variance. We then used a random model to account for sampling variation and reported fixed-effect model effect size heterogeneity across studies. Study heterogeneity was measured using the I2 test statistic and P-values. I2 test results were interpreted as low (25%), moderate (50%), and high (75%). Six Spanish and English studies qualified. These studies included 541 male monkeypox patients, 214 of whom had HIV and 255 with other STIs. HIV prevalence was estimated at 40% (95% CI = 0.31%, 0.50%; ᵡ2=15) and STIs at 43% (95% CI = 25%, 61%; ᵡ2=118). Overall, analyses showed moderate to high heterogeneity. Four in ten male monkeypox patients in 2022 had HIV or other STIs. To prevent HIV and other STIs, public health measures should target male and female monkeypox patients.

Investigation of bias due to selective inclusion of study effect estimates in meta-analyses of nutrition research.

We aimed to explore, in a sample of systematic reviews (SRs) with meta-analyses of the association between food/diet and health-related outcomes, whether systematic reviewers selectively included study effect estimates in meta-analyses when multiple effect estimates were available. We randomly selected SRs of food/diet and health-related outcomes published between January 2018 and June 2019. We selected the first presented meta-analysis in each review (index meta-analysis), and extracted from study reports all study effect estimates that were eligible for inclusion in the meta-analysis. We calculated the Potential Bias Index (PBI) to quantify and test for evidence of selective inclusion. The PBI ranges from 0 to 1; values above or below 0.5 suggest selective inclusion of effect estimates more or less favourable to the intervention, respectively. We also compared the index meta-analytic estimate to the median of a randomly constructed distribution of meta-analytic estimates (i.e., the estimate expected when there is no selective inclusion). Thirty-nine SRs with 312 studies were included. The estimated PBI was 0.49 (95% CI 0.42-0.55), suggesting that the selection of study effect estimates from those reported was consistent with a process of random selection. In addition, the index meta-analytic effect estimates were similar, on average, to what we would expect to see in meta-analyses generated when there was no selective inclusion. Despite this, we recommend that systematic reviewers report the methods used to select effect estimates to include in meta-analyses, which can help readers understand the risk of selective inclusion bias in the SRs.

On the proportion of patients who experience a prodrome prior to psychosis onset:A systematic review and meta-analysis.

Preventing or delaying the onset of psychosis requires identification of those at risk for developing psychosis. For predictive purposes, the prodrome - a constellation of symptoms which may occur before the onset of psychosis - has been increasingly recognized as having utility. However, it is unclear what proportion of patients experience a prodrome or how this varies based on the multiple definitions used. We conducted a systematic review and meta-analysis of studies of patients with psychosis with the objective of determining the proportion of patients who experienced a prodrome prior to psychosis onset. Inclusion criteria included a consistent prodrome definition and reporting the proportion of patients who experienced a prodrome. We excluded studies of only patients with a prodrome or solely substance-induced psychosis, qualitative studies without prevalence data, conference abstracts, and case reports/case series. We searched Ovid MEDLINE, Embase (Ovid), APA PsycInfo (Ovid), Web of Science Core Collection (Clarivate), Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, APA PsycBooks (Ovid), ProQuest Dissertation & Thesis, on March 3, 2021. Studies were assessed for quality using the Critical Appraisal Checklist for Prevalence Studies. Narrative synthesis and proportion meta-analysis were used to estimate prodrome prevalence. I2 and predictive interval were used to assess heterogeneity. Subgroup analyses were used to probe sources of heterogeneity. (PROSPERO ID: CRD42021239797). Seventy-one articles were included, representing 13,774 patients. Studies varied significantly in terms of methodology and prodrome definition used. The random effects proportion meta-analysis estimate for prodrome prevalence was 78.3% (95% CI = 72.8-83.2); heterogeneity was high (I2 97.98% [95% CI = 97.71-98.22]); and the prediction interval was wide (95% PI = 0.411-0.936). There were no meaningful differences in prevalence between grouped prodrome definitions, and subgroup analyses failed to reveal a consistent source of heterogeneity. This is the first meta-analysis on the prevalence of a prodrome prior to the onset of first episode psychosis. The majority of patients (78.3%) were found to have experienced a prodrome prior to psychosis onset. However, findings are highly heterogenous across study and no definitive source of heterogeneity was found despite extensive subgroup analyses. As most studies were retrospective in nature, recall bias likely affects these results. While the large majority of patients with psychosis experience a prodrome in some form, it is unclear if the remainder of patients experience no prodrome, or if ascertainment methods employed in the studies were not sensitive to their experiences. Given widespread investment in indicated prevention of psychosis through prospective identification and intervention during the prodrome, a resolution of this question as well as a consensus definition of the prodrome is much needed in order to effectively direct and organize services, and may be accomplished through novel, densely sampled and phenotyped prospective cohort studies that aim for representative sampling across multiple settings.

Comparison of Fixation Methods Between Transosseous Pull-Out Suture and Separate Vertical Wiring for Inferior Pole Fracture of Patella: A Systematic Review and Meta-Analysis.

To compare, in a systematic review, Krakow transosseous (KT) suturing and separate vertical wiring (VW) fixation methods in inferior pole fractures of the patella and to evaluate whether the supplementary fixation affected bone union. The MEDLINE, Embase, and Cochrane databases were searched from inception to January 15, 2023. The keywords were "patella inferior pole fracture", "patella distal pole fracture", "transosseous", "pull-out suture", "reattachment", and "vertical wiring". All clinical studies describing KT or VW techniques for inferior pole fracture of the patella and reporting bone union-related complications were included. This meta-analysis included 16 studies with 274 patellae. Demographic data, surgical techniques, clinical outcomes, and complication rates were recorded. The Methodological Index for Non-Randomized Studies criteria were used to assess their quality. A meta-analysis was performed using random-effects models and meta-regression. The meta-analytic estimate of bone union-related complications was 3.8% (95% CI, 1.6%-6.0%) for either PO or VW techniques in inferior pole fractures of the patella. The bone union-related complication rates did not differ significantly between the two techniques (KT, 5.7%; VW, 3.0%; P = .277). Meanwhile, supplementation fixation was significantly associated with decrease in bone union-related complication rates ( p = .013). Fixation of inferior pole fractures of the patella using either KT or VW techniques provided satisfactory and similar clinical results with minimal bone union-related complications. Supplementary fixation has a positive impact on reducing bone union-related complications in inferior pole fractures of the patella following KT and VW techniques. Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Posttraumatic stress disorder prevalence and childbirth: update meta-analysis after the introduction of the DSM-5 and COVID-19 pandemic.

Meta-analyses were previously performed to estimate PTSD prevalence in the postpartum period. Significant events that could impact this outcome occurred in the last decade, such as the publication of the DSM-5 in 2013 and the COVID-19 pandemic in 2020. This systematic literature review with a meta-analysis addressed studies published after 2014 to estimate PTSD prevalence after childbirth. The methodological guidelines recommended by PRISMA were followed. The meta-analysis estimate was the proportion of PTSD cases. The restricted maximum likelihood (REML) was the method adopted for estimation in addition to multilevel random effect models. Subgroup analyses were performed to assess the impact of interest variables. The estimated prevalence was 0.10 (95%CI: 0.8-0.13; I2 = 98.5%). No significant differences were found regarding the introduction of the DSM-5 (p = 0.73) or COVID-19 (p = 0.97), but instead, between low- and middle-income countries, e.g., the Middle East presents a higher prevalence (p < 0.01) than European countries. There is a potential increase in PTSD prevalence rates after childbirth in the last decade not associated with the pandemic or the current diagnostic classification. Most studies showed a methodological fragility that must be overcome to understand this phenomenon better and support preventive actions and treatment for puerperal women.

P522 Post hoc analysis reveals limited efficacy of induction therapy in ileum only Crohn´s disease

Abstract Background Crohn´s disease (CD) can affect any part of the GI tract, although has a predilection for the terminal ileum and colon. Approximately 30% of patients have inflammation restricted to the small intestine, another 30% have disease limited to the colon, and the remainder have a combination of small and large bowel involvement. Despite studies suggesting that ileal and colonic CD may be distinct disease phenotypes and might therefore respond differently to treatment, CD patients are typically enrolled into clinical trials irrespective of the site of gastrointestinal involvement. The aim of this systematic review and meta-analysis was to assess treatment efficacy in patients with small bowel disease. Methods Embase and PubMed databases were searched until October 2023 for randomised, placebo-controlled, clinical trials that reported induction efficacy, based on clinical remission (CDAI &amp;lt;150), in ileal-only Crohn’s disease between 2010 and 2023. The following search criteria were employed: Crohn´s disease AND [2010-2023] AND (small bowel OR ileum OR ileal OR L1) AND (CDAI OR clinical remission AND induction AND placebo). Additional studies, not identified through this search strategy were also considered. Resultant studies were systematically reviewed before a random-effects meta-analysis was undertaken to assess induction efficacy, based on clinical remission, in ileal only CD. Results A total of 9 studies, involving 709 adult patients, were identified: two via Embase and PubMed; six from supplementary search materials; and one post-hoc analysis of brazikumab data (not published). The studies provided CDAI remission results by disease location subset. The induction treatment times ranged from 6-12 weeks, and both bio-naïve and bio-failure patients were included. The studies were relatively homogenous (I2 = 38.5%, Q = 13.0 (p-value = 0.112)) with a random effect meta-analytic estimate of difference versus placebo in CDAI remission of 2.1% (95% CI -6% to 11%). Two studies used clinical response (defined as ≥ 100 point decrease or score &amp;lt; 150) as indicated in the figure. Conclusion This is the first systematic meta-analysis of treatment effects in ileal-only CD. The available evidence suggests treatment effect heterogeneity, with inferior outcomes in ileal disease versus a broader patient population with ileocolonic or colonic involvement. Previous systematic review1 on clinical remission after induction treatment demonstrate placebo adjusted values in the range of 12-20% in a no defined disease site population. This indicates the need for novel therapies with a mechanism of action directly tailored to heal the small intestine in patients with CD.