Background: Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the number of COVID-19–related publications. Identifying trends and areas of interest using traditional review methods (eg, scoping and systematic reviews) for such a large domain area is challenging.
Objective: We aimed to conduct an extensive bibliometric analysis to provide a comprehensive overview of the COVID-19 literature.
Methods: We used the COVID-19 Open Research Dataset (CORD-19) that consists of a large number of research articles related to all coronaviruses. We used a machine learning–based method to analyze the most relevant COVID-19–related articles and extracted the most prominent topics. Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. We have made our software accessible to the community via GitHub.
Results: Of the 196,630 publications retrieved from the database, we included 28,904 in our analysis. The mean number of weekly publications was 990 (SD 789.3). The country that published the highest number of COVID-19–related articles was China (2950/17,270, 17.08%). The highest number of articles were published in bioRxiv. Lei Liu affiliated with the Southern University of Science and Technology in China published the highest number of articles (n=46). Based on titles and abstracts alone, we were able to identify 1515 surveys, 733 systematic reviews, 512 cohort studies, 480 meta-analyses, and 362 randomized control trials. We identified 19 different topics covered among the publications reviewed. The most dominant topic was public health response, followed by clinical care practices during the COVID-19 pandemic, clinical characteristics and risk factors, and epidemic models for its spread.
Conclusions: We provide an overview of the COVID-19 literature and have identified current hotspots and research directions. Our findings can be useful for the research community to help prioritize research needs and recognize leading COVID-19 researchers, institutes, countries, and publishers. Our study shows that an AI-based bibliometric analysis has the potential to rapidly explore a large corpus of academic publications during a public health crisis. We believe that this work can be used to analyze other eHealth-related literature to help clinicians, administrators, and policy makers to obtain a holistic view of the literature and be able to categorize different topics of the existing research for further analyses. It can be further scaled (for instance, in time) to clinical summary documentation. Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.

/pdf/a-comprehensive-overview-of-the-covid-19-literature-machine-4jvw2wxuk6.pdf

A Comprehensive Overview of the COVID-19 Literature: Machine Learning-Based Bibliometric Analysis.

The SARS-CoV-2 (COVID-19) pandemic is having a large effect on the management of cancer patients. This study reports on the approach and outcomes of cancer patients receiving radical surgery with curative intent between March and September 2020 (in comparison to 2019) in the European Institute of Oncology, IRCCS (IEO) in Milan and the South East London Cancer Alliance (SELCA). Both institutions implemented a COVID-19 minimal pathway where patients were required to self-isolate prior to admission and were swabbed for COVID-19 within 72 h of surgery. Positive patients had surgery deferred until a negative swab. At IEO, radical surgeries declined by 6% as compared to the same period in 2019 (n = 1477 vs. 1560, respectively). Readmissions were required for 3% (n = 41), and <1% (n = 9) developed COVID-19, of which only one had severe disease and died. At SELCA, radical surgeries declined by 34% (n = 1553 vs. 2336). Readmissions were required for 11% (n = 36), <1% (n = 7) developed COVID-19, and none died from it. Whilst a decline in number of surgeries was observed in both centres, the implemented COVID-19 minimal pathways have shown to be safe for cancer patients requiring radical treatment, with limited complications and almost no COVID-19 infections.

https://www.mdpi.com/2072-6694/13/7/1597/pdf

Continuity of Cancer Care: The Surgical Experience of Two Large Cancer Hubs in London and Milan.

To compare the management and outcomes of colorectal cancer (CRC) patients during the first 2 months of the COVID-19 pandemic with the preceding 6 months. Background: The pandemic has affected the diagnosis and treatment of CRC patients worldwide. Little is known about the safety of major resection and whether creating "cold" sites (COVID-free hospitals) is effective. Methods: A national study in England used administrative hospital data for 14,930 CRC patients undergoing surgery between October 1, 2019, and May 31, 2020. Mortality of CRC resection was compared before and after March 23, 2020 ("lockdown" start). Results: The number of elective CRC procedures dropped sharply during the pandemic (from average 386 to 214 per week), whereas emergency procedures were hardly affected (from 88 to 84 per week). There was little change in characteristics of surgical patients during the pandemic. Laparoscopic surgery decreased from 62.5% to 35.9% for elective and from 17.7% to 9.7% for emergency resections. Surgical mortality increased slightly (from 0.9% to 1.2%, P = 0.06) after elective and markedly (from 5.6% to 8.9%, P = 0.003) after emergency resections. The observed increase in mortality during the first phase of the pandemic was similar in "cold" and "hot" sites (P > 0.5 elective and emergency procedures). Conclusions: The pandemic resulted in a 50% reduction in elective CRC procedures during the initial surge and a substantial increase in mortality after emergency resection. There was no evidence that surgery in COVID-free "cold" sites led to better outcomes in the first 2 months.

Surgical Treatment and Outcomes of Colorectal Cancer Patients During the COVID-19 Pandemic: A National Population-based Study in England

Globally, 28.4 million non-emergent (‘elective’) surgical procedures have been deferred during the COVID-19 pandemic. This study evaluated the impact of the COVID-19 pandemic on elective breast- or colorectal cancer (CRC) procedure backlogs and attributable mortality, globally. Further, we evaluated the interaction between procedure deferrals and health systems, internationally. Relevant articles from any country, published between December 2019–24 November 2022, were identified through searches of online databases (MEDLINE, EMBASE) and by examining the reference lists of retrieved articles. We organised health system-related findings thematically per the Structures-Processes-Outcomes conceptual model by Donabedian (1966). Of 337 identified articles, we included 50. Eleven (22.0%) were reviews. The majority of included studies originated from high-income countries (n = 38, 76.0%). An ecological, modelling study elucidated that global 12-week procedure cancellation rates ranged from 68.3%–73%; Europe and Central Asia accounted for the majority of cancellations (n = 8,430,348) and sub-Saharan Africa contributed the least (n = 520,459). The percentage reduction in global, institutional elective breast cancer surgery activity ranged from 5.68%–16.5%. For CRC, this ranged from 0%–70.9%. Significant evidence is presented on how insufficient pandemic preparedness necessitated procedure deferrals, internationally. We also outlined ancillary determinants of delayed surgery (e.g., patient-specific factors). The following global health system response themes are presented: Structural changes (i.e., hospital re-organisation), Process-related changes (i.e., adapted healthcare provision) and the utilisation of Outcomes (i.e., SARS-CoV-2 infection incidence among patients or healthcare personnel, postoperative pulmonary complication incidence, hospital readmission, length of hospital stay and tumour staging) as indicators of health system response efficacy. Evidence on procedure backlogs and attributable mortality was limited, partly due to insufficient, real-time surveillance of cancer outcomes, internationally. Elective surgery activity has decreased and cancer services have adapted rapidly, worldwide. Further research is needed to understand the impact of COVID-19 on cancer mortality and the efficacy of health system mitigation measures, globally.

Global elective breast- and colorectal cancer surgery performance backlogs, attributable mortality and implemented health system responses during the COVID-19 pandemic: A scoping review

Crisis management for surgical teams and their leaders, lessons from the COVID-19 pandemic; A structured approach to developing resilience or natural organisational responses.

AIM This report summarizes the early experience of implementing elective colorectal cancer surgery during the COVID-19 pandemic. METHODS A pathway to minimize the risk of including COVID-19-positive patients for elective surgery was established. Prioritization and additional safety measures were introduced into clinical practice. Minimal invasive surgery was used where appropriate. RESULTS Thirty-eight patients were prioritized, and 23 patients underwent surgery (eight colon, 14 rectal and one anal cancer). The minimal invasive surgery rate was 78%. There were no major postoperative complications or patients diagnosed with COVID-19. Histopathological outcomes were similar to normal practice. CONCLUSION A safe pathway to offer standard high-quality surgery to colorectal cancer patients during the COVID-19 pandemic is feasible.

Implementation of a clinical pathway for the surgical treatment of colorectal cancer during the COVID-19 pandemic.

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Implementation of a clinical pathway for the surgical treatment of colorectal cancer during the COVID-19 pandemic.