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Cancer of unknown primary (CUP) and cancer of multiple primaries (CMP) are two groups of neoplasm with high heterogeneity, low incidence, limited clinical knowledge and evidence. The diagnosis and treatment of patients with CUP and CMP is challenging. With the progress in the radiology, pathology and genetic features of these diseases, the cooperation and development of multi-disciplinary treatment, along with the investigation of targeted and immunology treatment have updated the treatment of these patients. We intended to guide the diagnosis and treatment of patients with CUP and CMP through this guideline, providing standard guidance for the overall management of patients.

In this paper we will present the results and analysis of the first exit poll that has been done in Serbia, or more precisely, in Belgrade municipality of Voždovac. During election day of the 2020 Serbian parliamentary election, we collected data from 2969 respondents in 40 voting spots. We applied number of statistical and data collection procedures in order to improve precision of predication. The collected data provided the evidence of a very accurate prediction. Beside the prediction of election results, we collected demographic data, as well as data of the timing of the making the decision to vote. Therefore, for the explorative purposes we present that data in the paper. We found significant differences among demographic categories regarding party/electoral list preferences. Additionally, we identify different patterns between SNS and Šapić voters, i.e. we found that SNS voters mostly decided to vote for this list a long time ago, while Šapić voters mostly decided to vote for this electoral list a few days before the elections. In conclusion, we discuss the possible reasons of such pattern.

Background Fever of unknown origin (FUO) and inflammation of unknown origin (IUO) are syndromes commonly used as medical diagnoses. Since the existing literature has a mixture of diagnostic approaches, developing consensus-based recommendations would be helpful for clinicians, researchers, and patients. Methods A modified Delphi process was performed from October 2022 to July 2023, involving 4 rounds of online surveys and 2 live video conferences. The panel comprised international experts recruited based on peer-reviewed published publications and studies. Results Among 50 invited experts, 26 (52.0%) agreed to participate. Twenty-three panelists completed round 1 of the survey, 21 completed rounds 2 and 3, 20 completed round 4, and 7 participated in round 5 live video discussions. Of the participants, 18 (78.3%) were academic-based clinicians and researchers, 5 (21.7%) practiced in a community-based hospital, and 6 (26.1%) were female. Consensus was reached on 5 themes: (1) incorporating epidemiologic factors, such as geographic location and travel history; (2) updated criteria for classifying FUO or IUO; (3) initial evaluation approaches; (4) a classification system for diagnoses; and (5) recommendations for judicious limitation of empiric therapies. Experts strongly disagreed with using 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography/computed tomography as part of the diagnostic criteria for FUO. There were mixed opinions about the importance of the temperature measurement site, the 3-week minimum illness criterion, the need for a standard definition of relapsing fevers, and the use of similar evaluation strategies for FUO and IUO. Conclusions These Delphi-generated consensus-based recommendations offer potential improvements compared with earlier definitions and a guide for clinical practice and future research. [ABSTRACT FROM AUTHOR]