PANC Study (Pancreatitis: A National Cohort Study): national cohort study examining the first 30 days from presentation of acute pancreatitis in the UK

Abstract Background Acute pancreatitis is a common, yet complex, emergency surgical presentation. Multiple guidelines exist and management can vary significantly. The aim of this first UK, multicentre, prospective cohort study was to assess the variation in management of acute pancreatitis to guide resource planning and optimize treatment. Methods All patients aged greater than or equal to 18 years presenting with acute pancreatitis, as per the Atlanta criteria, from March to April 2021 were eligible for inclusion and followed up for 30 days. Anonymized data were uploaded to a secure electronic database in line with local governance approvals. Results A total of 113 hospitals contributed data on 2580 patients, with an equal sex distribution and a mean age of 57 years. The aetiology was gallstones in 50.6 per cent, with idiopathic the next most common (22.4 per cent). In addition to the 7.6 per cent with a diagnosis of chronic pancreatitis, 20.1 per cent of patients had a previous episode of acute pancreatitis. One in 20 patients were classed as having severe pancreatitis, as per the Atlanta criteria. The overall mortality rate was 2.3 per cent at 30 days, but rose to one in three in the severe group. Predictors of death included male sex, increased age, and frailty; previous acute pancreatitis and gallstones as aetiologies were protective. Smoking status and body mass index did not affect death. Conclusion Most patients presenting with acute pancreatitis have a mild, self-limiting disease. Rates of patients with idiopathic pancreatitis are high. Recurrent attacks of pancreatitis are common, but are likely to have reduced risk of death on subsequent admissions. </jats:sec

Big data and credit risk assessment: a bibliometric review, current streams, and directions for future research

This study aims to track the structural development of academic research on credit risk assessment and big data using bibliometric analysis. The bibliography is obtained from the Scopus database and contains all studies with citations published between 2012 and 2021. The study’s findings suggest that credit risk assessment and big data are vast fields that have increased significantly in the last nine years. Chinese researchers and organizations contributed the most to the documents. The current study concludes that several possibilities exist to improve the knowledge of credit risk assessment and big data

The applications of big data in the insurance industry: A bibliometric and systematic review of relevant literature

The insurance industry has changed rapidly over the last few decades. One factor in this change is the continuous growth of massive amounts of data that need to be processed properly to be optimally utilized. This has led to a strong wave of advanced processing technologies that can systematically manage big datasets, such as machine learning and artificial intelligence. This study analyzes the current state of research on big data and insurance. Bibliometric analysis and a systematic review were conducted to analyze the patterns and trends of the subject area, with the main focus on citations as a key measurement unit. This analysis is important to fill the existing gap in the examined area because no other bibliometric analysis has been conducted previously on the same subject; it will also help in establishing a scientific background for future research. The research findings verify that the United States is the most popular and cited country in the research area of big data and insurance at both the single authorship and co-authorship levels. Finally, the major impact of the relationship between big data and the insurance sector was marked by human-related aspects

Bibliometric analysis of foreign exchange risk

In this study, we have focused our attention on foreign exchange risk as it has gained the attention of many researchers all around the globe. In addition, the increased foreign exchange in the process of globalization significantly impacts the profitability and operations of enterprises (Nor, Masron &amp; Alabdullah, 2020) making it essential to understand the topic in greater depth. Thus, the main purpose of the paper is to understand the contribution that was made regarding this topic. This study thus employed the bibliometric analysis to evaluate the literature on foreign exchange risk. Bibliometric analysis is a statistical approach used to represent developments in a research topic and identify future research directions (Chen &amp; Yang, 2021). The bibliometric analysis was based on 487 documents spanning from 1969 to 2020. The visualization and content analysis results showed that the literature on foreign exchange risk has been growing, and a great deal of it has shown that foreign exchange risk significantly affects the overall performance of both local and multinational corporations. Many papers also concluded that an understanding of foreign exchange risk by investors and businesses can greatly affect their holdings. Based on this study’s exploration of current research streams in the field, directions for future research are proposed.</jats:p

Sustainable medical insurance: A bibliometric review

Many less fortunate people are struggling to pay for their medical expenses, as well as with the contributions they have to pay for their health insurance. People especially those who are living in lower-income countries end up suffering from both illnesses and debt when they get sick. This paper is a bibliometric review of 638 articles retrieved from the Scopus database on the subject of sustainable medical insurance, during the past 20 years, from 2000 to 2020. Scopus database was selected as it offers access to published research papers in high-quality journals relevant to the topic studied. Three research streams were further identified in this paper: health financing, health insurance, and global health. The bibliometric analyses provide insights in publication output concerning the growth of publication, most influential authors, keywords analysis, most influential sources, most cited documents, and publications output by countries. Our recommendation would be to design and develop pro-poor medical insurance, which will significantly help the less fortunate people, especially from the lower-income countries, which cannot pay it.</jats:p