Greek–American relations in the Yom Kippur War concurrence

This article suggests that there is no hard evidence supporting the conspiracy theory that Georgios Papadopoulos’ dictatorial regime was overthrown by the United States in 1973, because the Greek junta leader refused to assist their supply effort in support of Israel during the Yom Kippur War

Greek–American relations in the Yom Kippur War concurrence

This article suggests that there is no hard evidence supporting the conspiracy theory that Georgios Papadopoulos’ dictatorial regime was overthrown by the United States in 1973, because the Greek junta leader refused to assist their supply effort in support of Israel during the Yom Kippur War

A review of methods for addressing components of interventions in meta-analysis

Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the metaanalytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex interventions with meta-analytical models. We summarized the methodology, highlighted new developments, and described the benefits, drawbacks, and potential challenges of each identified method. We expect meta-analytical methods focusing on components of several multicomponent interventions to become increasingly popular due to recently developed, easy-to-use, software tools that can be used to conduct the relevant analyses. The different meta-analytical methods are illustrated through two examples comparing psychotherapies for panic disorder. Copyright

Accessory muscles around the superior radioulnar joint: a morphological study

During anatomical dissections on 36 human elbow joints, we observed the presence of three muscles around the superior radioulnar joint usually neglected by the classical anatomical literature, the lateral tensor muscle of the annular ligament (with an incidence of 16.6%), the medial tensor muscle of the annular ligament (11.1%) and the accessory supinator muscle (16.6%). We could not establish any association between the subject handedness and the sidedness of these aberrant muscles, neither we found a predominance in sidedness or in gender. Furthermore, we did not notice any significant predominance related to the occupation and specifically to heavy labor occupations. On the contrary we found these muscles to be more common in non-laborers, which supports the assumption that these variants constitute rather genetic than epigenetic traits. The knowledge of such anatomical variants facilitate the surgeon operating in the elbow region to better interpret supernumerary muscular bundles in the operative field

Duplicated gallbladder: surgical application and review of the literature

Duplicated gallbladder is a rare congenital anomaly, usually asymptomatic and occurring as incidental radiographic or surgical finding during upper abdomen, liver and extrahepatic biliary tract surgery. We report on a case of two separate gallbladders, one main and one accessory, each one with its own cystic duct. The main cystic duct drained into the common bile duct while the accessory bile duct extruded into the left side of common bile duct just inferior to the main cystic duct termination. Imaging advances such as computerized tomography, intraoperative endoscopic retrograde cholangiopancreatography and magnetic resonance cholangiopancreatography may aid in the establishment of accurate diagnosis. The anomaly is of great importance because the surgeon may miss the main or the accessory gallbladder and the patient may need to be re-operated in case of cholelithiasis

Risk factors for falls among hospitalized medical patients - A systematic review and meta-analysis.

OBJECTIVE To identify and quantify risk factors for in-hospital falls in medical patients. DATA SOURCES Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) were systematically screened until April 11, 2023, to identify relevant articles. STUDY SELECTION All titles and abstracts of the retrieved articles were independently screened by two researchers who also read the full texts of the remaining articles. Quantitative studies that assessed risk factors for falls among adult patients acutely hospitalized were included in the review. Publications that did not capture internal medicine patients or focused on other specific populations were excluded. DATA EXTRACTION Information on study characteristics and potential risk factors were systematically extracted. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool. PRISMA and MOOSE guidelines were followed for reporting. DATA SYNTHESIS The main outcome was any in-hospital falls. Using a random-effects meta-analysis model, association measures for each risk factor reported in five or more studies were pooled. Separate analyses according to effect measure and studies adjusted for sex and age at least were performed. Of 5,067 records retrieved, 119 original publications from 25 countries were included. In conclusion, 23 potential risk factors were meta-analyzed. Strong evidence with large effect sizes was found for a history of falls (OR 2.54; 95% CI 1.63- 3.96; I2 91%), antidepressants (pooled OR 2.25; 95% confidence interval [95% CI] 1.92-2.65; I2 0%), benzodiazepines (OR 1.97; 95% CI 1.68-2.31; I2 0%), hypnotics-sedatives (OR 1.90; 95% CI 1.53-2.36; I2 46%), and antipsychotics (OR 1.61; 95% CI 1.33-1.95; I2 0%). Furthermore, evidence of associations with male sex (OR 1.22, 95% CI 0.99-1.50, I2 65%) and age (OR 1.17, 95% CI 1.02-1.35, I2 72%) were found, but effect sizes were small. CONCLUSIONS The comprehensive list of risk factors, which specifies the strength of evidence and effect sizes, could assist in the prioritization of preventive measures and interventions

Introducing the Treatment Hierarchy Question in Network Meta-Analysis

Comparative effectiveness research using network meta-analysis can present a hierarchy of competing treatments, from the most to the least preferable option. However, in published reviews, the research question associated with the hierarchy of multiple interventions is typically not clearly defined. Here we introduce the novel notion of a treatment hierarchy question that describes the criterion for choosing a specific treatment over one or more competing alternatives. For example, stakeholders might ask which treatment is most likely to improve mean survival by at least 2 years, or which treatment is associated with the longest mean survival. We discuss the most commonly used ranking metrics (quantities that compare the estimated treatment-specific effects), how the ranking metrics produce a treatment hierarchy, and the type of treatment hierarchy question that each ranking metric can answer. We show that the ranking metrics encompass the uncertainty in the estimation of the treatment effects in different ways, which results in different treatment hierarchies. When using network meta-analyses that aim to rank treatments, investigators should state the treatment hierarchy question they aim to address and employ the appropriate ranking metric to answer it. Following this new proposal will avoid some controversies that have arisen in comparative effectiveness research

The Operative management in Bariatric Acute abdomen (OBA) Survey: long-term complications of bariatric surgery and the emergency surgeon\u27s point of view.

Background: The number of bariatric procedures is increasing worldwide. No consensus or guidelines about the emergency management of long-term complications following bariatric surgery are currently available. The aim of this study is to investigate by a web survey how an emergency surgeon approaches this unique group of patients in an emergency medical scenario and to report their personal experience. Method: An international web survey was sent to 197 emergency surgeons with the aim to collect data about emergency surgeons\u27 experience in the management of patients admitted in the emergency department for acute abdominal pain after bariatric surgery. The survey was conceived as a questionnaire composed by 26 (multiple choice and open) questions and approved by a steering committee. Results: One hundred seventeen international emergency surgeons decided to join the project and answered to the web survey with a response rate of 59.39%. Conclusions: The aim of this WSES web survey was to highlight the current management of patients previously submitted to bariatric surgical procedures by ES.Emergency surgeons must be mindful of postoperative bariatric surgery complications. CT scan with oral intestinal opacification may be useful in making a diagnosis if carefully interpreted by the radiologist and the surgeon.In case of inconclusive clinical and radiological findings, when symptoms fail to improve, surgical exploration for bariatric patients presenting acute abdominal pain, by laparoscopy if expertise is available, is mandatory in the first 12-24 h, to have good outcomes and decrease morbidity rate

Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity

Estimating treatment effects conditional on observed covariates can improve the ability to tailor treatments to particular individuals. Doing so effectively requires dealing with potential confounding, and also enough data to adequately estimate effect moderation. A recent influx of work has looked into estimating treatment effect heterogeneity using data from multiple randomized controlled trials and/or observational datasets. With many new methods available for assessing treatment effect heterogeneity using multiple studies, it is important to understand which methods are best used in which setting, how the methods compare to one another, and what needs to be done to continue progress in this field. This paper reviews these methods broken down by data setting: aggregate-level data, federated learning, and individual participant-level data. We define the conditional average treatment effect and discuss differences between parametric and nonparametric estimators, and we list key assumptions, both those that are required within a single study and those that are necessary for data combination. After describing existing approaches, we compare and contrast them and reveal open areas for future research. This review demonstrates that there are many possible approaches for estimating treatment effect heterogeneity through the combination of datasets, but that there is substantial work to be done to compare these methods through case studies and simulations, extend them to different settings, and refine them to account for various challenges present in real data