Electrocardiographic findings in patients with sickle cell disease: A protocol for systematic review and meta-analysis.

Background: Despite advancements in the management of patients with sickle cell disease (SCD), the involvement of the cardiovascular system in these patients remains a significant concern. Cardiovascular manifestations of SCD are well-documented, with electrocardiography (ECG) serving as a valuable diagnostic tool. Studies have reported a high rate of critical ECG findings in patients with SCD that warrants consideration when managing these patients, indicating the need for proactive cardiac screening and management strategies in this patient population. This study aims to systematically review the literature to identify sociodemographic, clinical, and paraclinical factors associated with ECG abnormalities in patients with SCD. Methods: A comprehensive search strategy will be employed across multiple online databases, including PubMed, Embase, Scopus, Web of Science, and Google Scholar, for published and gray literature. Eligible studies will include original articles reporting associations between sociodemographic, clinical, and paraclinical variables and a spectrum of ECG findings in patients with SCD. Independent reviewers will conduct the screening, quality assessment, and data extraction. Quantitative analyses will be performed under a random-effect model using Comprehensive Meta-Analysis software, with subgroup analyses based on SCD status, sickle hemoglobinopathy form, and age group.

A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine.

BACKGROUND: Leishmaniasis, an illness caused by protozoa, accounts for a substantial number of human fatalities globally, thereby emerging as one of the most fatal parasitic diseases. The conventional methods employed for detecting the Leishmania parasite through microscopy are not only time-consuming but also susceptible to errors. Therefore, the main objective of this study is to develop a model based on deep learning, a subfield of artificial intelligence, that could facilitate automated diagnosis of leishmaniasis. METHODS: In this research, we introduce LeishFuNet, a deep learning framework designed for detecting Leishmania parasites in microscopic images. To enhance the performance of our model through same-domain transfer learning, we initially train four distinct models: VGG19, ResNet50, MobileNetV2, and DenseNet 169 on a dataset related to another infectious disease, COVID-19. These trained models are then utilized as new pre-trained models and fine-tuned on a set of 292 self-collected high-resolution microscopic images, consisting of 138 positive cases and 154 negative cases. The final prediction is generated through the fusion of information analyzed by these pre-trained models. Grad-CAM, an explainable artificial intelligence technique, is implemented to demonstrate the model's interpretability. RESULTS: The final results of utilizing our model for detecting amastigotes in microscopic images are as follows: accuracy of 98.95 1.4%, specificity of 98 2.67%, sensitivity of 100%, precision of 97.91 2.77%, F1-score of 98.92 1.43%, and Area Under Receiver Operating Characteristic Curve of 99 1.33. CONCLUSION: The newly devised system is precise, swift, user-friendly, and economical, thus indicating the potential of deep learning as a substitute for the prevailing leishmanial diagnostic techniques.

Postbiotic characterization of a potential probiotic yeast isolate, and its microencapsulation in alginate beads coated layer-by-layer with chitosan.

Considering biosafety concerns and survivability limitations of probiotics (PRO) under different stresses, application of postbiotics and encapsulated PRO has received considerable attentions. Accordingly, the objective of the present study was to investigate the postbiotic capabilities of a potential PRO yeast isolate and the effect of encapsulation with alginate (Alg) and chitosan (Ch) on its survival under SGI conditions. Sequencing results of the PCR products led to the identification of Saccharomyces cerevisiae as the selected potential PRO yeast isolated from wheat germ sourdough. High survival of the isolate under simulated gastrointestinal (SGI) conditions (95.74%), its proper adhesion abilities, as well as its potent inhibitory activity against Listeria monocytogenes (75.84%) and Aspergillus niger (77.35%) were approved. Interestingly, the yeast cell-free supernatant (CFS) showed the highest antioxidant (84.35%) and phytate-degrading (56.19%) activities compared to the viable and heat-dead cells of the isolate. According to the results of the HPLC-based assay, anti-ochratoxin A (OTA) capability of the dead cells was also significantly (P < 0.05) higher than that of the viable cell. Meanwhile, the yeast CFS had no anti-OTA and antimicrobial activities against the foodborne bacteria and fungi tested. Further, microencapsulation of the yeast isolate in Alg beads coated layer-by-layer with Ch (with 77.02% encapsulation efficacy and diameter of 1059 µm based on the field emission scanning electron microscopy analysis) significantly enhanced its survivability under SGI conditions in comparison with the free cells. In addition, electrostatic cross-linking between negatively charged carboxylic groups of Alg and positively charged amino groups of Ch was verified in accordance with Fourier transform infrared and zeta potential data. Human and/or industrial food trials in future are needed for practical applications of these emerging ingredients.

Evaluation of Central Nervous System Relapse in Adults with Acute Lymphoblastic Leukemia (ALL) Receiving Hyper-CVAD Treatment in Seyyed Al-Shohada Hospital: Isfahan, 2014-2019.

Background: Recurrence of ALL in the central nervous system, CNS Relapse, is known as a poor prognostic factor. Few studies have been performed on the CNS Relapse in adults with ALL. This study aimed to evaluate the recurrence of acute lymphoblastic leukemia in the central nervous system, CNS relapse, in adults with ALL. Materials and Methods: Seventy newly diagnosed patients with acute lymphoblastic leukemia aged 15 years and older referred to Seyyed Al-Shohada Hospital in Isfahan between 2014 and 2019 were included in this study. All patients treated with the Hyper-CVAD regimen underwent prophylaxis for the central nervous system based on the risk of CNS relapse. All study participants with CNS relapse underwent intrathecal chemotherapy. Results: The median age of patients was 34 years. Four patients (5.7%) had primary central nervous system involvement. Out of 70 patients receiving the Hyper-CVAD regimen, 59 (84.2%) achieved complete remission. Of the 59 patients achieving CR, ten (16.94%) developed CNS relapse. The median duration of CR before CNS relapse was 21 weeks. Out of 10 patients with CNS relapse, seven (70%) achieved complete remission. Of seven patients achieving CR in the central nervous system, one had a second recurrence in the central nervous system, but finally achieved CNS complete remission. The median survival of patients after CNS relapse was four months. The results also showed that out of 10 patients with CNS relapse, four (40%) survived one year. Conclusion: This study shows that the prognosis of CNS relapse in adults with ALL has not improved much. Limited studies have been conducted on the recurrence of the central nervous system in adults with acute lymphoblastic leukemia. Therefore, further studies on CNS relapse after complete remission of ALL are required to clarify more details.

Estimates of global and regional prevalence of Helicobacter pylori infection among individuals with obesity: a systematic review and meta-analysis.

PURPOSE: The prevalence of obesity is an escalating concern in modern populations, predominantly attributed to the widespread adoption of sedentary lifestyles observed globally. Extensive research has established a significant association between obesity and Helicobacter pylori (H. pylori). Nonetheless, a comprehensive assessment of the global prevalence of H. pylori among individuals with obesity remains undetermined. METHODS: A systematic search strategy was applied to PubMed, Scopus, and Web of Science. The resulting records were screened using the Rayyan online tool for the management of systematic reviews. Freeman-Tukey double arcsine transformation was used. Subgroup analyses (continent, regional classifications, developmental status, religion, global hemisphere, income, access to international waters, and H. pylori eradication) and multivariate meta-regression (latitude, longitude, male-to-all ratio, mean age, and body mass index) were done to estimate the effects of the moderators. Risk of bias assessment was done using JBI checklist for prevalence studies. RESULTS: A total of 472,511 individuals with obesity from 208 studies were included. The global estimation of H. pylori prevalence among individuals with obesity was 32.3% (95% CI 26.9%, 38.0%). South America had the highest prevalence. Based on the different classifications of countries, resource-rich, low-/middle-income, developing, and Islamic countries had the highest prevalence. Lower pooled prevalence was observed in the studies with adequate sample sizes (n ≥ 270). CONCLUSION: The findings have the potential to influence future health policies for preventing and treating H. pylori infection. However, there is variability among the included studies, indicating the need for more population-based research.

Global incidence of intrahepatic cholestasis of pregnancy: A protocol for systematic review and meta-analysis.

Background: Intrahepatic cholestasis of pregnancy (ICP) typically develops in the late second and third trimesters and resolves rapidly after delivery. Although not associated with serious maternal sequelae, ICP can be highly bothersome. On the other hand, the major complications of ICP are fetal and neonatal, which can be fatal. The current knowledge lacks an estimation regarding the global prevalence of ICP. Methods: PubMed, Scopus, and Web of Science will be searched systematically. Records will be screened for eligibility by two independent reviewers. Observational studies that reported the incidence of ICP will be eligible. Joanna Bridge Institute checklist for appraisal of prevalence studies will be used for quality assessment. Freeman-Tukey double arcsine transformed effect sizes will be pooled under random-effect models. The residual between study heterogeneity will be quantified using I 2 statistic. Further investigations will be done using subgroup and meta-regression analyses. Discussion: Estimating the global and regional prevalence of ICP and evaluating the effects of moderating factors will provide valuable insights into the knowledge. Further investigations on the moderating factors will help researchers to hypothesize the associations and extend the current understanding of the disease. The planned study will be the first systematic review and meta-analysis that estimates the global prevalence of ICP. The reviewers will try rigorous mythology to ensure high-quality evidence. However, substantial heterogeneity is expected as prevalence studies utilize different mythologies, settings, and definitions. Moreover, this study relies on utilizing previously published studies, which may impede the overall data quality and comprehensiveness.

Machine-learning algorithms in screening for type 2 diabetes mellitus: Data from Fasa Adults Cohort Study.

INTRODUCTION: The application of machine learning (ML) is increasingly growing in biomedical sciences. This study aimed to evaluate factors associated with type 2 diabetes mellitus (T2DM) and compare the performance of ML methods in identifying individuals with the disease in an Iranian setting. METHODS: Using the baseline data from Fasa Adult Cohort Study (FACS) and in a sex-stratified manner, we studied factors associated with T2DM by applying seven different ML methods including Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbours (KNN), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB) and Bagging classifier (BAG). We further compared the performance of these methods; for each algorithm, accuracy, precision, sensitivity, specificity, F1 score, and Area Under Curve (AUC) were calculated. RESULTS: 10,112 participants were recruited between 2014 and 2016, of whom 1246 had T2DM at baseline. 4566 (45%) participants were males, aged between 35 and 70 years. For males, age, sugar consumption, and history of hospitalization were the most weighted variables regarding their importance in screening for T2DM using the GBM model, respectively; these variables were sugar consumption, urine blood, and age for females. GBM outperformed other models for both males and females with AUC of 0.75 (0.69-0.82) and 0.76 (0.71-0.80), and F1 score of 0.33 (0.27-0.39) and 0.42 (0.38-0.46), respectively. GBM also showed a sensitivity of 0.24 (0.19-0.29) and a specificity of 0.98 (0.96-1.0) in males and a sensitivity of 0.38 (0.34-0.42) and specificity of 0.92 (0.89-0.95) in females. Notably, close performance characteristics were detected among other ML models. CONCLUSIONS: GBM model might achieve better performance in screening for T2DM in a south Iranian population.

Electrocardiographic abnormalities in patients with sickle cell disease: A systematic review and meta-analysis.

BACKGROUND: Previous studies have documented that electrocardiography (ECG) can reveal a range of abnormalities, offering valuable insights into the cardiac evaluation of patients with sickle cell disease (SCD). The objective of this study is to assess the patterns of ECG abnormalities observed in these patients with SCD, and to determine their prevalence. METHOD: We systematically reviewed the literature using online databases of PubMed, Scopus, Web of Science, Embase, and Google Scholar to identify original studies that reported findings of standard ECG assessments in patients with SCD. Statistical analyses were performed using the random effects model. Additional analyses including sensitivity analysis and subgroup analysis were also conducted. RESULTS: Analysis of data from 59 studies involving 897,920 individuals with SCD revealed that 75% of these patients had abnormal ECG findings (67%-81%), which were predominantly nonspecific ST-T changes, left ventricular hypertrophy, T-wave changes, prolonged corrected QT (QTc) interval, and ischemic changes. Besides, it was shown that these patients had significantly higher odds of having any ECG abnormalities (OR of 17.50, 4.68-65.49), right atrial enlargement (6.09, 1.48-25.09), left ventricular hypertrophy (3.45, 1.73-6.89), right ventricular hypertrophy (7.18, 2.28-22.57), biventricular hypertrophy (10.11, 1.99-51.38), prolonged QTc interval (5.54, 2.44-12.59), ST depression (3.34, 1.87-5.97), and T-wave changes (5.41, 1.43-20.56). Moreover, the mean of QTc interval was significantly higher among those with SCD (23.51 milliseconds, 16.08-30.94). CONCLUSION: Our meta-analysis showed a higher prevalence of abnormal ECG findings among individuals with SCD. A significant proportion of these patients had various ECG abnormalities, suggesting a potential need for regular ECG assessments for patients with SCD.

Potential diagnostic application of a novel deep learning- based approach for COVID-19.

COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, which has had a significant impact on global public health and the economy. Detecting COVID-19 patients during a pandemic with limited medical facilities can be challenging, resulting in errors and further complications. Therefore, this study aims to develop deep learning models to facilitate automated diagnosis of COVID-19 from CT scan records of patients. The study also introduced COVID-MAH-CT, a new dataset that contains 4442 CT scan images from 133 COVID-19 patients, as well as 133 CT scan 3D volumes. We proposed and evaluated six different transfer learning models for slide-level analysis that are responsible for detecting COVID-19 in multi-slice spiral CT. Additionally, multi-head attention squeeze and excitation residual (MASERes) neural network, a novel 3D deep model was developed for patient-level analysis, which analyzes all the CT slides of a given patient as a whole and can accurately diagnose COVID-19. The codes and dataset developed in this study are available at https://github.com/alrzsdgh/COVID . The proposed transfer learning models for slide-level analysis were able to detect COVID-19 CT slides with an accuracy of more than 99%, while MASERes was able to detect COVID-19 patients from 3D CT volumes with an accuracy of 100%. These achievements demonstrate that the proposed models in this study can be useful for automatically detecting COVID-19 in both slide-level and patient-level from patients' CT scan records, and can be applied for real-world utilization, particularly in diagnosing COVID-19 cases in areas with limited medical facilities.

Body weight changes and diabetes mellitus incident: A cohort study from the Middle East.

Objective: Obesity is a known risk factor for diabetes, but the effect of weight changes on the incidence of diabetes is not yet determined. This study aims to evaluate the long-term effects of weight change [based on body mass index (BMI)] on the incidence of diabetes mellitus (DM) in a middle eastern population. Method: In the Isfahan Cohort Study (ICS) 6504 adults equal or greater than 35 years of age were recruited at 2001 and were followed until 2013. Absolute BMI changes (ΔBMI) were calculated by subtracting the baseline BMI from the BMI measured at follow-ups. To compare participants with different baseline BMI easier, relative changes in BMI were quantified as the percentage of changes from baseline. DM was assessed based on standard definitions. Multivariable Cox regression was used to determine the association between ΔBMI and the incidence of diabetes. Results: During follow-ups, 261 new cases of diabetes were recorded, with an IR of 3401.29 per 100,000 P-Y. The highest number of new cases of type 2 DM belongs to participants with overweight and obesity who had minimal BMI changes (less than 5% of their baseline BMI limits; 42 and 38 new cases, respectively). Participants who were obese at baseline and had lost more than 10% or gained 5-10% of baseline BMI were in the groups with the highest IR [360.05-95% CI (239.3-541.8) and 322.39-95% CI (178.5-582.1) respectively]. There was no significant association between BMI changes and the incidence of DM in the participants with normal BMI, overweight, and obesity at baseline in cure and adjusted models. Conclusions: This study showed there was no significant association between diabetes mellitus incidence and BMI changes.

Massive pulmonary embolism post sleeve gastrectomy treated with systemic thrombolytic: A case report.

Prompt diagnosis and management of massive pulmonary embolism after bariatric surgery is crucial, but thrombolytic therapy may increase the risk of complications such as anastomotic leakage and bleeding. Individualized management is needed.

Endovascular therapy for acute stroke with a large infarct core: A systematic review and meta-analysis.

OBJECTIVE: In this meta-analysis, we aimed to investigate the efficacy and safety of endovascular treatment (EVT) for acute ischemic stroke (AIS) patients with large core infarct. METHODS: Three online databases of Web of Science, PubMed and Scopus were systematically searched. Original studies which evaluated AIS participants with large core infarction who underwent EVT were included. R statistical software was used for statistical analyses. Effect sizes were presented with odds ratios (ORs) with their 95% confidence intervals (CIs). The effect sizes were pooled using random effects modeling. RESULTS: Including 47 studies and 15,173 patients, this meta-analysis showed that compared with medical management (MM), EVT was significantly associated with decreased odds of mortality (0.67, 95% CI: 0.51-0.87) and increased odds of favorable outcomes, including a modified Rankin Scale of 0-3 (2.36, 95% CI: 1.69-3.291) and of 0-2 (3.54, 95% CI: 1.96-6.4) in 90 days and remarkable improvement in National Institutes of Health Stroke Scale within 48 h after the procedure (3.6, 95% CI:1.32-9.79). Besides, there was a higher chance of intracranial hemorrhage (ICH) development (1.88, 95% CI: 1.32-2.68) but not symptomatic ICH (1.34, 95% CI: 0.78-2.31) in those who underwent EVT. CONCLUSION: Our study suggests that EVT might be an effective and relatively safe treatment option for the treatment of AIS patients with large vessel occlusion who have large core infarcts, although more large-scale trials are needed to consolidate the results and to make inclusion criteria and the patient selection process clearer.

The clinico-epidemiological, diagnostic and therapeutic aspects of methanol poisoning: A five-year retrospective study, northern Iran.

INTRODUCTION: Methanol poisoning (MP) is a serious health issue that has become more prevalent in recent years and has resulted in numerous deaths. Early detection and timely treatment are critical for preventing fatalities and reducing the incidence of neurological complications. PATIENTS AND METHODS: This study was designed as a retrospective investigation with the purpose of analyzing the clinico-epidemiological, diagnostic, and therapeutic aspects of patients who were admitted to two training hospitals in northern Iran due to MP. The selection of samples for this study was based on a pre-defined checklist. Following the completion of the treatment period in the hospital, the patients were categorized into three groups based on their clinical outcome. All relevant variables for each group were recorded and reported separately, using the SciPy library in the Python programming language. RESULTS: The majority of the patients (88.12%) were male (P=0.012), the average age was 41.46, and mostly (82.18%) lived in urban regions (P=0.025). The primary clinical complaint reported was visual disorders, accounting for 75.25% of the cases, followed by nervous, gastrointestinal, respiratory, and chest pain accordingly. The average hospitalization length for the patients was 5.065 days. Out of the 101 patients, 65 (64.36%) were discharged without any complications, 17 (16.83%) were discharged with complications, and unfortunately, 19 (18.81%) were died. CONCLUSION: A decreased level of consciousness and severe metabolic acidosis are commonly associated with unfavorable outcomes in MP. The use of systemic corticosteroids as a treatment method has a significant association with reducing mortality rates.

Recent advances in probiotic breads; a market trend in the functional bakery products.

Although bread is the main consumed staple food worldwide containing essential micro- and macronutrients, incorporation of probiotics (PRO) into this nondairy product has been less documented. Due to the mechanical and thermal stresses during bread-making process, production of PRO bread (PRO-BR) is dependent on development of emerging strategies like edible coating, encapsulation, three-dimensional printing, and application of thermophilic PRO strains. In the present study, novel technological and formulation aspects of PRO-BR, as well as critical conditions for obtaining products with guaranteed PRO potential have been reviewed. The biological functionality of these products, their scale up, marketing and commercial success factors are also highlighted. Production of functional PRO-BR containing bioactive compounds, phytochemicals and prebiotic components as an emerging field also affects dough rheology and textural features, sensory attributes and shelf-life of the final product. Recent data has revealed the effect of PRO on acrylamide content and staling rate of the produced bread. Furthermore, there are clinical evidences confirming the effects of PRO and synbiotic breads on reduction of triacylglycerol, low-density lipoprotein, insulin level and malondialdehyde, along with the increase of nitric oxide in the patients with type II diabetes.

Protective effects of exogenous melatonin therapy against oxidative stress to male reproductive tissue caused by anti-cancer chemical and radiation therapy: a systematic review and meta-analysis of animal studies.

Background: Male testicular dysfunction is a considerable complication of anti-cancer therapies, including chemotherapy and radiotherapy, partly due to the increased oxidative stress caused by these treatments. Melatonin is an effective antioxidant agent that protects testicles against physical and toxic chemical stressors in animal models. This study aims to systematically review the melatonin's protective effects against anti-cancer stressors on rodential testicular tissue. Materials and Method: An extensive search was conducted in Web of Science, Scopus, and PubMed for animal studies investigating exogenous melatonin's protective effects on rodent testicles exposed to anti-cancer chemicals and radiotherapeutic agents. Using the DerSimonian and Laird random-effect model, standardized mean differences and 95% confidence intervals were estimated from the pooled data. The protocol was prospectively registered in the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022355293). Results: The meta-analysis included 38 studies from 43 studies that were eligible for the review. Rats and mice were exposed to radiotherapy (ionizing radiations such as gamma- and roentgen radiation and radioactive iodine) or chemotherapy (methotrexate, paclitaxel, busulfan, cisplatin, doxorubicin, vinblastine, bleomycin, cyclophosphamide, etoposide, Taxol, procarbazine, docetaxel, and chlorambucil). According to our meta-analysis, all outcomes were significantly improved by melatonin therapy, including sperm quantity and quality (count, motility, viability, normal morphology, number of spermatogonia, Johnsen's testicular biopsy score, seminiferous tubular diameter, and seminiferous epithelial height), serum level of reproductive hormones (Follicle-Stimulating Hormone and testosterone), tissue markers of oxidative stress (testicular tissue malondialdehyde, superoxide dismutase, glutathione peroxidase, catalase, glutathione, caspase-3, and total antioxidant capacity), and weight-related characteristics (absolute body, epididymis, testis, and relative testis to body weights). Most SYRCLE domains exhibited a high risk of bias in the included studies. Also, significant heterogeneity and small-study effects were detected. Conclusion: In male rodents, melatonin therapy was related to improved testicular histopathology, reproductive hormones, testis and body weights, and reduced levels of oxidative markers in testicular tissues of male rodents. Future meticulous studies are recommended to provide a robust scientific backbone for human applications. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022355293, identifier CRD42022355293.

Carbohydrate polymer-based carriers for colon targeted delivery of probiotics.

Probiotics (PRO) have been recognized for their significant role in promoting human health, particularly in relation to colon-related diseases. The effective delivery of PRO to the colon is a fascinating area of research. Among various delivery materials, carbohydrates have shown great potential as colon-targeted delivery (CTD) carriers for PRO. This review explores the connection between probiotics and colonic diseases, delving into their underlying mechanisms of action. Furthermore, it discusses current strategies for the targeted delivery of active substances to the colon. Unlike other reviews, this work specifically focuses on the utilization of carbohydrates, such as alginate, chitosan, pectin, and other carbohydrates, for probiotic colon-targeted delivery applications. Carbohydrates can undergo hydrolysis at the colonic site, allowing their oligosaccharides to function as prebiotics or as direct functional polysaccharides with beneficial effects. Furthermore, the development of multilayer self-assembled coatings using different carbohydrates enables the creation of enhanced delivery systems. Additionally, chemical modifications of carbohydrates, such as for adhesion and sensitivity, can be implemented to achieve more customized delivery of PRO.

Prevalence of body dysmorphic disorder in rhinoplasty candidates: A systematic review and meta-analysis.

Background: Body dysmorphic disorder (BDD) is a prevalent mental disorder, particularly in those seeking plastic surgery, leading to unnecessary surgeries and postsurgical dissatisfaction. Among the plastic surgeries, rhinoplasty is the most commonly sought, yet the data on prevalence of BDD among the candidates of rhinoplasty is limited. Therefore, this systematic review and meta-analysis aimed to estimate the prevalence of BDD in rhinoplasty candidates. Methods: The online libraries of Web of Science, PubMed, Cochrane Library, ProQuest, Research Square, Scopus, and Google Scholar were searched up to August 2022. Statistical analyses were performed using STATA software (v. 16). The heterogeneity was determined using the I 2 statistic, and an overall estimated analysis was conducted. Subgroup analyses were performed on study year, age, gender, World Health Organization regional classification, sociodemographic index, country, sample size, and employed diagnostic tool. A meta-regression analysis was performed to identify potential sources of heterogeneity. Results: Out of 12,999 studies assessed, 18, with a combined sample size of 2132 individuals, met our criteria and were included in the study. The pooled prevalence of BDD was 32.7% (95% CI: 23.6-41.7; I 2 = 96.45%). Subgroup analyses revealed the studies that were conducted in the European region (42.8%), with a sample size of ≥100 (40.2%), utilized the BDD modification of the Y-BOCS (BDD-YBOCS) diagnostic method (47.3%), and with a quality score of ≥6 (34.2%) demonstrated higher prevalence of BDD. The meta-regression analysis identified a higher prevalence in the BDD-YBOCS diagnostic method than in the BDD questionnaire (ß: 0.23; 95% CI: 0.04-0.43; p = 0.022). Conclusions: The prevalence of BDD is high in those seeking rhinoplasty. Clinicians should be aware of BDD symptoms to prevent unnecessary surgery and dissatisfaction. Public awareness through the media and access to affordable medical services should also be provided.

Global prevalence of Helicobacter pylori infection among individuals with obesity: A protocol for a systematic review and meta-analysis.

Background and Aims: Modern populations are prone to obesity, as sedentary lifestyles prevail globally. Previous research has shown that obesity and Helicobacter pylori are mutually associated. However, the global prevalence of H. pylori among individuals with obesity is not yet determined. Methods: A comprehensive search will be conducted in PubMed, Scopus, and Web of Science online databases for studies that have reported the prevalence of H. pylori infection among individuals with obesity. Cross-sectional, case-control, and cohort studies will be included if reported sufficient data. Records screening, data extraction, and quality assessment will be done by independent reviewers. Joanna Bridge Institute checklist for prevalence studies will be used to appraise the included studies. Prevalence will be pooled using random effect models. Heterogeneity will be quantified by I 2 and p value. Subgroup analyses and meta-regression will be utilized to address the sources of residual between-study heterogeneity. Discussion: Understanding the regional and global occurrence of H. pylori infection in individuals with obesity can provide valuable insights for health policymakers and clinicians to devise proficient diagnostic and eradication strategies, thereby enhancing postoperative outcomes for patients undergoing bariatric surgery. The study's strength will lie in not being restricted to language and time of publication, comprehensive investigation of regional and pre- and posteradication estimates, and the effects of time trends and sociodemographic indices on H. pylori prevalence. However, potential heterogeneity in methodologies used across prevalence studies could affect the interpretation of the results. Additionally, the study relies on previously published studies, limiting data quality and completeness.

Protective effects of melatonin against oxidative stress induced by metabolic disorders in the male reproductive system: a systematic review and meta-analysis of rodent models.

Background: Male infertility is a multifaceted issue that has gained scientific interest due to its increasing rate. Studies have demonstrated that oxidative stress is involved in male infertility development. Furthermore, metabolic disorders, including obesity, diabetes, hypo- and hyperthyroidism, are risk factors for male infertility, and oxidative stress is believed to contribute to this association. Melatonin, functioning as an oxidative scavenger, may represent a promising therapeutic approach for the prevention and treatment of metabolic disorder-associated male infertility. Material and methods: We systematically searched three online databases (PubMed, Scopus, and Web of Science) for studies that evaluated the effects of melatonin therapy on metabolic disorders-induce infertility in male rodents. The favorable outcomes were histopathological parameters of testicular tissue, reproductive hormones, and markers of oxidative stress. Then, meta-analyses were done for each outcome. The results are reported as standardized mean difference (Cohen's d) and 95% confidence interval. Results: 24 studies with 31 outcomes were included. Rats and mice were the subjects. Studies have employed obesity, diabetes, hypothyroidism, hyperthyroidism, hyperlipidemia, and food deprivation as metabolic disorders. To induce these disorders, a high-fat diet, high-fructose diet, leptin, streptozotocin, alloxan, carbimazole, and levothyroxine were used. The outcomes included histopathologic characteristics (abnormal sperm morphology, apoptotic cells, apoptotic index, Johnsen's testicular biopsy score, seminiferous epithelial height, tubular basement membrane thickness, tubular diameter, sperm count, and motility), weight-related measurements (absolute epididymis, testis, and body weight, body weight gain, epididymal adipose tissue weight, and relative testis to body weight), hormonal characteristics (androgen receptor expression, serum FSH, LH, and testosterone level), markers of oxidative stress (tissue and serum GPx and MDA activity, tissue CAT, GSH, and SOD activity), and exploratory outcomes (serum HDL, LDL, total cholesterol, triglyceride, and blood glucose level). The overall pooled effect sizes were statistically significant for all histopathological characteristics and some markers of oxidative stress. Conclusions: Melatonin can reduce damage to male rodents' gonadal tissue and improve sperm count, motility, and morphology in metabolic diseases. Future clinical studies and randomized controlled trials are needed to evaluate the safety and effectiveness of melatonin for male infertility in patients with metabolic diseases.