Association between surgical disease burden and research productivity in surgery across the globe: a big data comparative analysis using artificial intelligence
S Goulas, G Karamitros - British Journal of Surgery, 2023 - academic.oup.com
British Journal of Surgery, 2023•academic.oup.com
Profound disparities in access to surgery across the world have led to the need for
benchmarks for surgical care to design initiatives that reduce the surgical burden of disease
1. This study measures research productivity and human capital in surgery across nations
and investigates associations with the shares of the population and surgical burden of
disease. Understanding the country differences in human capital and innovation in surgery
is crucial in quantifying access to surgeons and quality of surgical care across the world 2 …
benchmarks for surgical care to design initiatives that reduce the surgical burden of disease
1. This study measures research productivity and human capital in surgery across nations
and investigates associations with the shares of the population and surgical burden of
disease. Understanding the country differences in human capital and innovation in surgery
is crucial in quantifying access to surgeons and quality of surgical care across the world 2 …
Profound disparities in access to surgery across the world have led to the need for benchmarks for surgical care to design initiatives that reduce the surgical burden of disease 1. This study measures research productivity and human capital in surgery across nations and investigates associations with the shares of the population and surgical burden of disease. Understanding the country differences in human capital and innovation in surgery is crucial in quantifying access to surgeons and quality of surgical care across the world 2. We followed Karamitros and Goulas (2022, 2023) in deploying Artificial Intelligence (AI) technology by means of a web-scraping algorithm to obtain first author and country information from PubMed for every publication between 2010 and 2022 in the 50 most-cited and influential surgical journals according to the SCImago classification, shown in Table S1 3, 4. We identified 90.3 per cent of extracted publications (further details on journal selection, the AI methodology, and the role of first authors in research productivity are provided in the Supplementary Appendix). This study was approved by the Institutional Review board at Stanford University (# 68322) and followed the STROBE reporting guidelines. Our study brings forth two contextual benchmarks of surgical research: population and surgical burden of disease, proxied by deaths possibly preventable with surgery 5. The surgical burden of disease is calculated using total burden of disease (that is, fatal discontinuity deaths obtained from the Global Burden of Disease Project) multiplied with an estimate of the share of the surgical burden of disease (which accounts for 30 per cent of the global burden of disease, measured by Shrime et al. 5).(Further details on estimating the surgical burden of disease are provided in the Supplementary Appendix.)
Oxford University Press
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