Looking backward toward the future: A bibliometric analysis of the last 40 years of meningioma global outcomes.

This study is the first comprehensive bibliometric analysis about meningioma to date. The aim of this study is to identify the most influential publications in this field through citation and co-citation analysis, to examine international collaborations, to identify the conceptual framework of the subject and emerging trending topics through keyword analysis, and to identify the most productive countries, authors and journals. 9619 articles on meningioma published between 1980 and 2023 were downloaded from the Web of Science (WoS) database and statistically analyzed. In this study, various bibliometric techniques were utilized, including trend keyword analysis, thematic evolution analysis, factor analysis, conceptual structure analysis, citation and co-citation analyses. Bibliometric network visualization maps were created to identify trend topics, citation analysis and cross-country collaborations. The Exponential Smoothing estimator was used to predict article productivity in the coming years. The first 3 countries that contributed the most to the literature were respectively; USA (2664, 27.7%), Japan (972, 10.1%), Germany (943, 9.8%). The first three most productive journals were respectively; Journal of Neurosurgery (number of article = 496), World Neurosurgery (399), Acta Neurochirurgica (378). The most productive author was Mcdermott MW (number of article = 88) and the most active institution was the University of California System (number of article = 470). In addition to high-grade meningiomas, the most studied topics from past to present have been magnetic resonance imaging, recurrence, radiation therapy, and skull base. As a result of the analyses to determine trend topics, the subjects studied in recent years were diagnostic and imaging methods, surgical and treatment methods, prognosis and survival, epidemiology and quality of life, and with the advancement of technology, machine learning and prediction models. Scientific collaboration was seen primarily in articles from western countries, especially the USA, European countries, and Canada. However, there was also a not insignificant effect in developing countries such as China, India, and Turkey.

Can the use of antithrombotic drugs be a predictive factor in the early diagnosis of bladder cancer?: A single-center analysis.

Hematuria is the most common symptom of bladder cancer (BCa). It is well-known that the frequency of hematuria increases with the use of antithrombotic drugs (ATDs). We designed our study with the hypothesis that patients using antithrombotic drugs who present with the complaint of hematuria and are subsequently diagnosed with BCa may receive an earlier diagnosis, leading to lower tumor grades and stages. Data of 441 consecutive patients who presented to our urology outpatient clinic with macroscopic hematuria between 2020 and 2023 were retrospectively evaluated. A total of 88 patients (21.4%) with a primary diagnosis of BCa were included in our study. Patients were divided into 2 groups: those using ATDs during the episode of macroscopic hematuria (group 1) and those not using ATDs (group 2). Univariate and multivariate binary logistic regression analysis was performed to identify risk factors that could predict tumor grade. The incidence of multiple tumors (>1) was significantly lower in patients using ATDs (P = .033). The number of patients with tumor size larger than 3 cm was significantly higher in the group not using ATDs (P = .005). The rates of pathological T1 stage in the group using ATDs were significantly lower than those in the nonuser group (P = .038). According to the results of the multivariate model, the effect of pathology stage and ATD use on predicting tumor grade was significant (P = .002 and P < .001, respectively). The probability of having a high-grade tumor in patients with pathology stage T1 was 5.32 times higher than in patients with pathology stage TA. The probability of having a high-grade tumor in patients not using ATDs was 7.73 times higher than in those using ATDs. The effect of pathology stage and ATD use on predicting tumor grade was found to be significant. The probability of having a high-grade tumor was higher in patients not using ATDs compared to those using ATDs. In light of these results, we can state that the use of ATDs is a positive predictive factor in the early diagnosis of BCa, bringing along the chance of early diagnosis and treatment.

The Mechanical Properties of 3D-Printed Polylactic Acid/Polyethylene Terephthalate Glycol Multi-Material Structures Manufactured by Material Extrusion.

The mechanical properties of polylactic acid (PLA), polyethylene terephthalate glycol (PETG), and PLA/PETG structures manufactured using the multi-material additive manufacturing (MMAM) method were studied in this work. Material extrusion additive manufacturing was used to print PLA/PETG samples with various PLA and PETG layer numbers. By varying the top and bottom layer numbers of two thermoplastics, the effect of layer number on the mechanical properties of 3D-printed structures was investigated. The chemical and thermal characteristics of PLA and PETG were investigated using Fourier transform infrared spectroscopy and differential scanning calorimetry. Tensile and flexural strength of 3D-printed PLA, PETG, and PLA/PETG samples were determined using tensile and three-point bending tests. The fracture surfaces of the samples were evaluated using optical microscopy. The results indicated that multi-material part containing 13 layers of PLA and 3 layers of PETG exhibited the highest ultimate tensile strength (65.4 MPa) and a good flexural strength (91.4 MPa). MMAM was discovered to be a viable way for producing PLA/PETG materials with great mechanical performance.