Objective: Hypothesis testing, correlation, and regression analysis are statistical methods developed to be used in the statistical inference process which is the main purpose of all scientific studies. The purpose of this study is to develop a web-based application using the Shiny package in R software, which allows the evaluation of the results of scientific research to be made in a simpler, easier and understandable way. Methods: In this study, the tests and techniques developed in the software were applied to the data derived from the simulation. This web tool will be updated upon the updated R software packages, including ggplot2, shiny, reshape, plotly, shinydashboard, dplyr, plyr, tinytex, DT, rhandsontable, shinyjs, tools, readxl, foreign, shinyWidgets, shinyLP, shinyjqui, stringr, olsrr, perturb, mctest, relaimpo, MASS, MKmisc, aod, caret, shinydashboardPlus, rmarkdown. Scripts were written for calculations that could not be done by these packages. Results: In the web-based software developed to perform statistical analyses, the results and outputs of the derived dataset were interpreted. Conclusion: The developed interactive user-friendly web application is freely accessible through http://biostatapps.inonu.edu.tr/IAY. In future studies, it is aimed to strengthen the software by adding modules that perform different multivariate statistical analyzes.

Placenta accreta spectrum (PAS) presents a significant obstetric challenge, associated with considerable maternal and fetal-neonatal morbidity and mortality. Nevertheless, it is imperative to acknowledge that a noteworthy subset of PAS cases remains undetected until the time of delivery, thereby contributing to an augmented incidence of morbidity among the affected individuals. The delayed identification of PAS not only hinders timely intervention but also exacerbates the associated health risks for both the maternal and fetal outcomes. This underscores the urgency to innovate strategies for early PAS diagnosis. In this study, we aimed to explore plasma proteins as potential diagnostic biomarkers for PAS. Integrated transcriptome and proteomic analyses were conducted to establish a novel diagnostic approach. A cohort of 15 pregnant women diagnosed with PAS and delivering at Inonu University Faculty of Medicine between 01/04/2021 and 01/01/2023, along with a matched control group of 15 pregnant women without PAS complications, were enrolled. Plasma protein identification utilized enzymatic digestion and liquid chromatography-tandem mass spectrometry techniques. Proteomic analysis identified 228 plasma proteins, of which 85 showed significant differences (P < 0.001) between PAS and control cases. We refined this to a set of 20 proteins for model construction, resulting in a highly accurate classification model (96.9% accuracy). Notable associations were observed for proteins encoded by P01859 (Immunoglobulin heavy constant gamma 2), P02538 (Keratin type II cytoskeletal 6A), P29622 [Kallistatin (also known as Serpin A4)], P17900 (Ganglioside GM2 activator Calmodulin-like protein 5), and P01619 (Immunoglobulin kappa variable 3–20), with fold changes indicating their relevance in distinguishing PAS from control groups. In conclusion, our study has identified novel plasma proteins that could serve as potential biomarkers for early diagnosis of PAS in pregnant women. Further research and validation in larger PAS cohorts are necessary to determine the clinical utility and reliability of these proteomic biomarkers for diagnosing PAS.

Adults with end-stage of chronic liver diseases have lower antibody titers after hepatitis-B vaccination. We have less amount of knowledge about the effect of non-viral cause chronic liver fibrosis...

Aim: Shoulder joint is important for the functional capacity of the upper extremity. A big part of the functionality in this joint is created by rotator cuff muscles. Rotator cuff injuries are the primary reason for shoulder induced pain and injuries. The purpose of this study is to assess the effects of kinesio-taping in addition to conventional physiotherapy methods on upper extremity function, quality of life and emotional state in patients with chronic rotator cuff syndrome. Material and Method: Our study was conducted on 92 (64 female-28 male) patients with rotator cuff syndrome (RCS). The patients were randomly grouped in two. The first group was given conventional therapy, while kinesio taping was applied to the second group twice a week in addition to conventional physiotherapy techniques. Each patient was assessed before and after treatment with DASH (the disabilities of the arm, shoulder and hand) scale, SF-36 (short form-36) scale, VAS (visual analogue scale) score and BECK depression inventory. Each group was compared in terms of treatment efficiency both within the group and with the other group and statistical analyses were made. Results: Statistically significant decrease was found in both groups in terms of both pre-treatment and post-treatment DASH and VAS assessments. SF-36 scores were found to increase statistically significantly. When post-treatment scores were compared, statistically significant difference was found between the two groups. No statistically significant difference was found in both groups in terms of BECK depression inventory scores. Conclusion: It was concluded that when applied in addition to conventional physiotherapy techniques in clinic, kinesio taping treatment was an effective treatment method in terms of developing upper extremity functions, increasing quality of life in patients and decreasing pain.

Placenta accreta spectrum (PAS) disorders; Abnormal adhesion of placental villi to the myometrium associated with endometrial trauma or dysplasia. Placenta previa and previous cesarean section operations are two major risk factors for PAS disorders. It is usually diagnosed by ultrasound examinations performed during pregnancy follow-up. After this diagnosis is made, a very careful and strict pregnancy follow-up should be done. If the diagnosis is made during pregnancy, the delivery should be done by cesarean section and the bleeding that the mother will experience should be stopped with an appropriate method. However, no protein candidate to be used in clinical diagnosis has been found so far. The aim of this study is to identify candidate biomarkers that can be used in the diagnosis and follow-up of PAS with machine learning methods. In this study, proteomic data obtained from 26 women with and without PAS were used. After using the Lasso method as the variable selection method, machine learning models (XGBoost, Adaboost) were created with 5-fold cross-validation. Accuracy, Balanced accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, F1-Score, MCC and G-mean metrics were used in the performance evaluation of the models created. When the performance metrics of the two models are compared, the best result belongs to the XGBoost machine learning model. Therefore, the Accuracy, Balanced accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, F1-Score, MCC, and G-mean performance criteria for the XGBoost model are 0.962, 0.950, 1.00, 0.90, 0.94, 1.00, 0.97, 0.92, and 0.97, respectively. As a result, considering the experimental results, it can be said that the created machine learning model is quite successful in classifying PAS. In addition, it can be said that KDR and AMH proteins are candidate biomarkers that can be used in the diagnosis and follow-up of PAS according to the significance of the variables related to the model.

Objective: In this retrospective study, we compared the postoperative complications by using both the Clavien–Dindo classification and the Revised 2016 International Study Group on Pancreatic Surgery (ISGPS) classification methods after pancreaticoduodenectomy. Materials and Methods: The data of patients were retrospectively reviewed. Pancreaticojejunostomy (PJ) and pancreaticogastrostomy (PG) were performed on 41 and 40 patients, respectively. The patients were assigned into two groups for anastomosis types and compared with each other according to postoperative complications. The postoperative follow-up period of the patients was limited to 90 days. Results: No significant difference was detected between the two groups in terms of gender (P = .581) and age (P = .809). According to the Clavien–Dindo classification system, grade 1 complication rates were 29.3% and 35.0% in PJ and PG groups, respectively. Also, grade 2 complication rates were 34.1% and 32.5% in PJ and PG groups, respectively. Besides, grade 3B complication rates were 9.8% and 17.5% in PJ and PG groups, respectively. No grade 3A, grade 4A, and grade 4B complications were detected in both groups. But, grade 5 complications rates were 2.4% and 5.0% in PJ and PG groups, respectively. Based on the ISGPS classification system, the pancreatic fistulas were classified. The biochemical leak rates were calculated as 26.8% and 37.5% in PJ and PG groups, respectively. The rates were 14.6% and 10% in PJ and PG groups, respectively, for grade B complications. Also, grade C complication rates were 9.75% and 12.5% in PJ and PG groups, respectively. No statistically significant differences were detected between the two groups for postoperative complications. Conclusion: The evidence from this retrospective study suggests that there is no difference between the two types of pancreatic anastomosis techniques (PJ or PG) in terms of the rate of postoperative complications. Cite this article as: Koc S, Dirican A, Soyer V, et al. Comparison of two pancreatic anastomosis techniques in terms of postoperative complications after pancreaticoduodenectomy. Eurasian J Med. 2021; 53 (3):192–196.