Objective MET positivity is independently associated with survival in oral squamous cell carcinoma (OSCC). Since MET is a known orchestrator of invasive tumor growth, we investigated its association with LNM in early oral tongue squamous cell carcinoma (OTSCC). As it is recommended by the NCCN to use tumor depth of invasion (DOI) in making decisions on elective neck dissection (END), the results obtained for MET positivity were aligned with those for DOI > 4 mm. The cutoff value used in our institution. Methods Tumor samples from patients who underwent primary tumor resection and neck dissection between 1995 and 2013, were collected from the archives of the Leiden and Erasmus University Medical Center. Immunohistochemistry with D1C2 was performed to identify MET negative (< 10% uniform positivity) and MET positive (≥ 10% uniform positivity) cancers. ROC curve analysis and the Chi-squared test were used to investigate the association of MET positivity with LNM (pN+ and occult). Binary logistic regression was used to investigate the association of MET positivity with LNM. Results Forty-five (44.1%) of the 102 cancers were MET positive. Ninety were cN0 of which 20 were pN+ (occult metastasis). The remaining 12 cancers were cN+, of which 10 were proven pN+ and 2 were pN0. MET positivity was associated with LNM with a positive predictive value (PPV) of 44.4% and a negative predictive value (NPV) of 82.5% for pN+. For the occult group, the PPV was 36.8% and the NPV was 88.5%. Regression analysis showed that MET positivity is associated with pN+ and occult LNM (p-value < 0.05). Conclusion MET positivity is significantly associated with LNM in early OTSCC, outperforming DOI. The added value of MET positivity could be in the preoperative setting when END is being considered during the initial surgery. For cases with DOI ≤ 4 mm, MET positivity could aid in the clinical decision whether regular follow-up, watchful waiting, or END is more appropriate. Realizing that these preliminary results need to be independently validated in a larger patient cohort, we believe that MET positivity could be of added value in the decision making on END in early OTSCC.

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

Aim: To determine the impact of the COVID-19 pandemic on the overall practice of the histopathological and cytological laboratory at the University Hospital Centre Rijeka, and on the diagnosis of the most common cancers. Methods: The numbers of histopathological and cytological reports, newly diagnosed cancers of breast, lung, colon, endometrium, and prostate, molecular tests for EGFR mutations and HPV were extracted. Two periods, from March 1 to September 30 in 2019 and 2020 were analysed and compared, as the periods before and during the COVID-19 pandemic. Results: The total number of reports was statistically significantly lower during the COVID-19 pandemic in 2020, compared to the same period in 2019 (p&lt;0.000), histopathology by 24%, non-gynecological cytology by 20%, gynecological cytology by 13%, and Pap tests by 11%. During COVID-19 compared to the same period in 2019 the number of newly diagnosed malignant tumors was significantly reduced for colon cancers (–25%, p &lt;0.0001). The decrease in the new cases of breast (–3%) and prostate cancer (–4%) was less pronounced while the increase was recorded for lung (+ 2%) and endometrial cancer (+ 53%). The number of HPV tests dropped significantly during the COVID-19 pandemic, by 40% (p &lt;0.0001). Conclusions: This study confirmed the expected significant reduction in workload during the first wave of the COVID-19 pandemic in 2020, from 11% to 40%, although the number of patients with newly diagnosed cancers, except for colon, did not fall significantly. It would be important to form a joint national registry that would collect diagnostic and also therapeutic procedures, especially for oncology patients, in order to gain a more objective insight into the problems of the health system during pandemics. These data can be used to consider measures and strategies for the most adequate care, not only for COVID-19 but also for all other patients. © 2021 Hrvatski Lijecnicki Zbor. All rights reserved.

Introduction: Type 2 diabetes mellitus is a chronic disease that is causing enormous economic and social costs. It is characterized by many microvascular and macrovascular complications, such as heart attack, stroke, retinopathy, nephropathy, neuropathy, etc. Such complications can cause severe limitations and decrease the quality of life. The objective of this study was to assess the effect of type 2 diabetes mellitus on the quality of life using the EQ-5D-5L questionnaire, taking into account cardiovascular complications (heart attack, hospitalization due to angina pectoris, stroke, hospitalization due to heart insufficiency, transient ischemic attack, coronary revascularisation), complications of diabetes (microalbuminuria, renal failure, retinopathy, and neuropathy), and demographic characteristics (age, gender, body mass index, height, and weight).Materials and Methods: This cross-sectional study included 484 participants with type 2 diabetes mellitus. Quality of life was estimated by the EuroQol instrument EQ-5D-5L and visual analogue scale (VAS). The following complications related to type 2 diabetes were taken into account: heart attack, hospitalization due to angina pectoris, stroke, hospitalization due to heart insufficiency, transient ischemic attack, coronary revascularization, microalbuminuria, renal insufficiency, retinopathy, and neuropathy.Results: The mean value of the EQ index was 0.895, with the value of -0.59 as the lowest, and 1.0 as the highest quality of life of the study patients. Multivariate linear regression model showed that heart attack, hospitalization due to unstable angina pectoris, retinopathy, and neuropathy significantly decreased the quality of life of the study participants (p<0.05). Spearman's correlation showed that there was a significant correlation between age, height, duration of type 2 diabetes, body mass index, and the EQ index (p<0.001).Conclusion: The results suggest that type 2 diabetes complications, such as heart attack, neuropathy, retinopathy, and hospitalization due to unstable angina pectoris significantly decrease the quality of life of type 2 diabetes mellitus patients (T2DM).

BACKGROUND The association between adverse pregnancy outcomes (APOs) and maternal apical periodontitis remains unclear as it has not been examined rigorously or reviewed systematically. OBJECTIVE To systematically review and critically evaluate the available evidence on the association of maternal apical periodontitis with several APOs. METHODS A literature search was conducted using the following electronic databases: Clarivate Analytics' Web of Science, Scopus, PubMed, and Cochrane Database of Systematic Reviews (CDSR), from inception to 25 February 2021, with no language restrictions. Observational studies including longitudinal clinical trials, cohort, case-control, and cross-sectional studies of prospective and retrospective design were included. Articles with duplicate or overlapping results, abstract-only papers, case reports, case series, animal studies and reviews were excluded. Two independent reviewers were involved in study selection, data extraction and appraising the included studies; disagreements were resolved by a third reviewer. The Newcastle-Ottawa Scale (NOS) and the adapted form of the NOS were used to assess the quality for case-control and cross-sectional studies, respectively. RESULTS Two case-control and one cross-sectional study were included in the current review. The included studies were published between 2015 and 2017, with a total of 1187 participating individuals with an approximate age range of 15 to 40 years. As the included studies reported different outcomes, the heterogeneity of data prevented the use of a meta-analysis. The overall quality of the evidence was "Fair" for two out of three included studies, while one study was categorised as "Good". DISCUSSION Two out of three included primary studies had a substantial number of methodological inconsistencies and flaws, and caution should be exercised in interpreting the results of this systematic review because several important covariates were not considered in the original investigations. CONCLUSION Based on a limited volume and "Fair" and "Good" quality of evidence, a positive association between maternal apical periodontitis and APOs was observed. However, more "Good" quality clinical studies are needed to confirm the results of the current review.

The application of machine learning (ML) techniques could facilitate the identification of predictive biomarkers of somatostatin analog (SSA) efficacy in patients with neuroendocrine tumors (NETs). We collected data from 74 patients with a pancreatic or gastrointestinal NET who received SSA as first-line therapy. We developed three classification models to predict whether the patient would experience a progressive disease (PD) after 12 or 18 months based on clinic-pathological factors at the baseline. The dataset included 70 samples and 15 features. We initially developed three classification models with accuracy ranging from 55% to 70%. We then compared ten different ML algorithms. In all but one case, the performance of the Multinomial Naïve Bayes algorithm (80%) was the highest. The support vector machine classifier (SVC) had a higher performance for the recall metric of the progression-free outcome (97% vs. 94%). Overall, for the first time, we documented that the factors that mainly influenced progression-free survival (PFS) included age, the number of metastatic sites and the primary site. In addition, the following factors were also isolated as important: adverse events G3–G4, sex, Ki67, metastatic site (liver), functioning NET, the primary site and the stage. In patients with advanced NETs, ML provides a predictive model that could potentially be used to differentiate prognostic groups and to identify patients for whom SSA therapy as a single agent may not be sufficient to achieve a long-lasting PFS.

Introduction: Clance Impostor Phenomenon Scale (CIPS) is the most common and psychometrically sound instrument used to measure the impostor phenomenon. The aim of this study was to translate and make a cultural adaptation of the CIPS from English into Croatian. Materials and Methods: The translation process included two independent forward translations, combination of the forward translations into one single translation, back-translation, back-translation review, pre-piloting and drafting of the final translation after several revisions and minor adjustments by a professional reviewer. Results: We noticed no semantic differences when comparing the original and the back-translated versions of the CIPS. Thus, the final translation was only slightly changed in comparison with the first version. Conclusions: The version of the CIPS which was translated and culturally adapted into Croatian represents a reliable translation ready to be used in Croatia and Bosnia and Herzegovina.

With recent clinical breakthroughs, immunotherapy has become the fourth pillar of cancer treatment. Particularly, immune cell-based therapies have been envisioned as a promising treatment option with curative potential for leukemia patients. Hence, an increasing number of preclinical and clinical studies focus on various approaches of immune cell-based therapy for treatment of acute leukemia (AL). However, the use of different immune cell lineages and subsets against different types of leukemia and patient disease statuses challenge the interpretation of the clinical applicability and outcome of immune cell-based therapies. This review aims to provide an overview on recent approaches using various immune cell-based therapies against acute B-, T-, and myeloid leukemias. Further, the apparent limitations observed and potential approaches to overcome these limitations are discussed.

multilateral policy spaces. Let us not forget that on the twentieth anniversary of UNSCR 1325 last year, Russia proposed a draft resolution to the UNSC that, if passed, would have seriously diluted the hard-won advances of the past two decades. The resistance to the agenda, notably by antifeminist regional and transnational coalitions, is certainly one of the most serious threats that the WPS community is facing today. In the form of a conversation between Joy Onyesoh, Madeleine Rees, and Catia Cecilia Confortini – all affiliated with the Women’s International League for Peace and Freedom (WILPF) – the last chapter tackles the question of co-optation and how feminist advocacy has a role to play in confronting this challenge. To conclude, while this cutting-edge volume fulfills its promise, the “new directions” referred to in the title could have been more explicitly defined and discussed; its contributions could have been more clearly highlighted with the addition of a conclusion bringing together the insights of the 14 chapters. New Directions in Women, Peace and Security nonetheless offers a remarkable and accessible overview of the current theoretical debates in the field, as well as the future research avenues and policy challenges of the constantly evolving WPS agenda.

Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.

Tilapia fingerlings (0.5 ± 0.08g) were reared during the nursery phase in two different stocking densities (0.5 fish/m2 for control in a pond of 600m² and 75 fish/m2 for compensatory group in a cage of 4m²) for a period of 100 days. After this period, a 50-day trial study was performed with 43 juvelines of tilapia (Oreochromis niloticus) for each group (control 294 ± 24.43g and compensatory 99.33 ± 16.99g) stocked at the same density (0,28 fish/m2) in order to evaluate the compensatory growth in eathern ponds of 160m2 for each treatment. Throughout the experimental period the water quality was monitored and biometrics were performed to evaluate the zootechnical performance. The results revealed that the fishes of compensatory group presented higher specific growth rate compared to control, demonstrating a compensatory growth. At the end of the trial both treatments presented weight loss strongly influenced by temperature decrease. These results showed the compensatory growth of O. niloticus and the possibility to use this strategy (nursery in high density) contributing to ensure a successful production of O. niloticus in this region of the country.