The 100 most influential manuscripts in robotic surgery: a bibliometric analysis

Robotic liver surgery: A new reality. Descriptive analysis of 220 cases of minimally invasive liver surgery in 182 patients

INTRODUCTION

The level of recommendation of the robotic approach in liver surgery is controversial. The objective of the study is to carry out a single-center retrospective descriptive analysis of the short-term results of the robotic and laparoscopic approach in liver surgery during the same period.

METHODS

Descriptive analysis of the short-term results of the robotic and laparoscopic approach on 220 resections in 182 patients undergoing minimally invasive liver surgery.

RESULTS

Between April 2018 and June 2022, a total of 92 robotic liver resections (RLR) were performed in 83 patients and 128 laparoscopic (LLR) in 99 patients. The LLR group showed a higher proportion of major surgery (P < .001) and multiple resections (P = .002). The two groups were similar in anatomical resections (RLR 64.1% vs. LLR 56.3%). In the LLS group, the average operating time was 212 min (SD 52.1). Blood loss was 276.5 mL (100-1000) and conversion 12.1%. Mean hospital stay was 5.7 (SD 4.9) days. Morbidity was 27.3% and 2% mortality. In the RLS group, the mean operative time was 217 min (SD 53.6), blood loss 169.5 mL (100.900), and conversion 2.5%. Mean hospital stay was 4.1 (SD 2.1) days. Morbidity was 15%, with no mortality.

CONCLUSION

Minimally invasive liver surgery is a safe technique, and in particular, RLS allows liver resections to be performed safely and reproducibly; it appears to be a non-inferior technique to LLS, but randomized studies are needed to determine the minimally invasive approach of choice in liver surgery.

The 100 most cited articles on trachoma: a bibliometric analysis

OBJECTIVE

Trachoma is the cause of blindness or visual impairment in 1.9 million people. Few bibliometric studies have been carried out, but none explore the characteristics of the 100 most cited articles on trachoma.

METHODS

A keyword-based search without time restriction was performed in September 2022 using the Scopus database. Search keywords include the following: "trachoma; trachome; tracoma; trachomatis." Two authors independently screened the literature and extracted data. The search result was obtained to classify the 100 articles according to their number of citations.

RESULTS

The Top 100 articles were published between 1957 and 2015 with a total of 11,102 citations (range 56-689). The country with the most significant contribution was the USA (n = 56). The Lancet was the most active journal (n = 15). Bailey RL was the author with the highest number of publications (n = 30). The Edna McConnell Clark Foundation (n = 26) was the most prominent funding entity. The type of original article was the most published (n = 83), in addition, the most frequent thematic area was prevention (n = 33). The most popular keywords were trachoma (n = 93), chlamydia trachomatis (n = 55), and azithromycin (n = 34).

CONCLUSIONS

The study provides new insight into trachoma research, information that may help healthcare providers, researchers, and stakeholders better understand trends and influential contributions. It highlights under-researched areas that could be the basis for future research.

Influential articles on shoulder arthroplasty: bibliometric analysis and visualized study

BACKGROUND

Shoulder arthroplasty has had increasing global demand, technical development, and research interest in the past few decades, with the publication of numerous articles. However, little is known about the characteristics and evaluation of these articles. Our objective was to study and analyze the top 100 cited articles in shoulder arthroplasty research.

MATERIALS AND METHODS

Publications on shoulder arthroplasty from inception to 2022 were retrieved from the Web of Science. The top 100 publications were defined by the number of citations, and their characteristics were recorded and analyzed. A visualized study of the articles was performed using VOSviewer software.

RESULTS

The top 100 cited articles were published between 1981 and 2018, with the 2000s the most productive decade. Citations per article ranged from 103 to 822. The countries with the most articles were the United States followed by France and Switzerland. Most of the articles were level III evidence. The keywords for the articles were primarily in 5 clusters: infection, fracture, osteoarthritis, perioperative complications, and prosthetic design.

CONCLUSIONS

The characteristics of influential articles on shoulder arthroplasty were thoroughly analyzed. Most studies focused on surgical techniques and perioperative complications with a relatively low level of evidence.

Publications in Pediatric Epilepsy: Using Bibliometrics to Determine Readings in the Field

Bibliometrics and citation analysis are popular forms of analyzing medical literature based on article impact as determined by the number of citations an article has received from other publications. Many bibliometric studies published within the past 10 years have assembled lists of highly cited papers, top 100 papers, or citation classics of specialties, subspecialties, and specific morbidities. For pediatric epilepsy, there is only 1 study that bibliometrically examines articles in this subspecialty. Although bibliometrics generally examines trends in the literature, we used bibliometrics as a methodology for determining a core set of pediatric epilepsy articles with the highest impact (ie, citation count) that could be used as an introductory reading list for residents, fellows, and early career epileptologists. Therefore, we searched Web of Science to identify the 100 top-cited pediatric epilepsy articles and develop 10 topic areas into which we sorted each article. These recommended articles could be used as essential readings for pediatric epilepsy.

Challenge and future of liver and pancreatic robotic surgery. Analysis of 64 cases in a specialized unit

INTRODUCTION

Robotic surgery has proven effective in certain surgical procedures. However, in liver and pancreatic surgery (HBP) its use is still rare. The initial experience in HBP robotic surgery of a specialized unit of a tertiary hospital is presented.

METHOD

The results of patients undergoing robotic HBP surgery between April 2018 and October 2020 have been prospectively studied. The data analyzed correspond to demographic data, surgical techniques performed, associated morbidity and mortality.

RESULTS

64 patients were operated, corresponding to 35 hepatectomies (major [6.7%], anatomic [52.9%], limited [34.4%], cystectomies [3%] and marsupialization [3%]), 29 pancreatectomies (distal [48.2%], central [6.9%], cephalic [13.8%], enucleations [24.1%], ampullectomies [3.5%] and duodenal resections [3.5%]). In liver surgery the mean operative time was 204.4 min (100-265 min), the median postoperative complications according to the Clavien-Dindo scale was one (1-4), the mean blood losses 166.7 mL (100-300 mL), there was no conversion and the mean postoperative stay was four days (2-14 days). In pancreatic surgery, the mean operative time was 243.8 min (125-460 min), the median of postoperative complications was two (1-4), blood loss of 202.3 mL (100-500 mL) associated to a conversion rate 17.8% and an average stay of seven days (3-23 days).

CONCLUSIONS

Robotic HBP surgery is safe and feasible. It is suggested that its use facilitates parenchymal sparing surgery, access to posterior liver segments and anastomosis in pancreatic reconstruction compared to laparoscopic surgery.

Bibliometric analysis of the 100 top-cited articles on immunotherapy of urological cancer

Purpose

To highlight the scientific progress in immunotherapy of urological cancer by identifying and analyzing the 100 top-cited (T100) articles from the last 15 years.

Methods

Papers in immunotherapy of urological cancer were identified from Clarivate Web of Science Core Collection database. Data of the T100 articles and papers published in recent 2 years, including citations, topic, year of publication, country of origin, institution and authorship, were extracted and analyzed.

Results

Of the T100 articles, the citation number ranged from 7387 to 183 with a mean of 590.66. The USA led the field with 80 T100 articles and 53097 citations. Pro Sharma P from MD Anderson Cancer Center was at the top of list with 8 T100 articles (3 as first author and 6 as corresponding author). Memorial Sloan Kettering Cancer Center ranked first with 26 T100 articles and 22573 citations, followed by Johns Hopkins University with 21 T100 articles and 25095 citations. Forty-nine T100 articles were related to the renal cancer, followed by prostate cancer (29), bladder cancer (13) and urothelial cancer (13). According to the type of immunotherapy, most T100 articles were related to ICI (55 articles) and vaccine (19 articles).

Conclusions

It is the first bibliometric analysis to identify the T100 articles on immunotherapy of urological cancer. The USA made great contribution in the field of immunotherapy related to urological cancer. Renal, bladder and prostate cancers were the major organs treated by immunotherapy especially by ICIs and vaccines. The multiple aspects of ICIs research in renal and bladder cancer and the neoantigen-based vaccine therapy will be hotspots for future research.

Top 100 Cited Articles on Osteoarthritis from 1990 to 2020

OBJECTIVES

The purpose of this study was to identify and analyze the 100 top-cited articles in the field of osteoarthritis (OA) from 1990 to 2020.

METHODS

We used the Web of Science to retrieve the articles related to OA. Then we selected 100 target articles and manually collected their general information, including article title, author, year of publication, journal, type of article, and the number of citations.

RESULTS

The 100 top-cited articles were published in the period from 1990 to 2015. These articles have been cited 66,494 times in total, with the highest being 2382 times, the lowest being 433 times, the median number being 613, and a mean of 664.94 times. The 100 top-cited articles appeared in a total of 35 influential journals. The greatest number of articles in the top of 100 was published in Arthritis and Rheumatism. The authors of these articles came from 18 countries, led by the United States (n = 48), followed by the United Kingdom (n = 15). Among all the institutions, Boston University led the list with 10 articles. The most prevalent type of the study was review (n = 38) and clinical study (n = 38), followed by guideline (n = 12), basic science (n = 10) and other types.

CONCLUSIONS

This study provided some insights on the literature development and citation of OA in the recent 30 years. Articles published in high-impact journals are more likely to be cited in the field of OA. As recent studies did not have enough time to accumulate the number of citations, the latest articles may not be included in the top 100 cited articles.

Robotic Surgery: At the Crossroads of a Data Explosion

BACKGROUND

For the last 20 years, controversies in robotic surgery focused on cost reduction, development of new platforms and technologies, creation and validation of curriculum and virtual simulators, and conduction of randomized clinical trials to determine the best applications of robotics [Leal Ghezzi and Campos in World J Surg 40:2550-2557, 2016].

METHODS

This review explores the robotic systems which are currently indicated for use or development in gastrointestinal/abdominal surgery. These systems are reviewed and analyzed for clinical impact in these areas. In a MEDLINE search of articles with the search terms abdominal, gastrointestinal, review and robotic surgery, a total of 4306 total articles as of 2021 were assessed. Publicly available information, highest cited articles and reviews were assessed by the authors to determine the most significant regarding clinical outcomes.

RESULTS

Despite this increased number of articles related to robotic surgery, ongoing controversies have led to limitation in the use of current and future robotic surgery platforms [Connelly et al. in J Robotic Surg 14:155-165, 2020]. Newer robotic platforms have limited studies or analysis that would allow meaningful definite conclusions. A multitude of new scenarios are possible due to this limited information.

CONCLUSION

Robotic surgery is in evolution to a larger conceptual field of computationally enhanced surgery (CES). Various terms have been used in the literature including computer-assisted surgery or digital Surgery [Ranev and Teixeira in Surg Clin North Am 100:209-218, 2020]. With the growth of technological changes inherent in CES, the ability to validate these improvements in outcomes will require new metrics and analytic tools. This learning feedback and metric analysis will generate the new opportunities in simulation, training and application [Julian and Smith in Int J Med Robot 15:e2037, 2019].

A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis

PURPOSE

Medical images are important in diagnosing disease and treatment planning. Computer algorithms that describe anatomical structures that highlight regions of interest and remove unnecessary information are collectively known as medical image segmentation algorithms. The quality of these algorithms will directly affect the performance of the following processing steps. There are many studies about the algorithms of medical image segmentation and their applications, but none involved a bibliometric of medical image segmentation.

METHODS

This bibliometric work investigated the academic publication trends in medical image segmentation technology. These data were collected from the Web of Science (WoS) Core Collection and the Scopus. In the quantitative analysis stage, important visual maps were produced to show publication trends from five different perspectives including annual publications, countries, top authors, publication sources, and keywords. In the qualitative analysis stage, the frequently used methods and research trends in the medical image segmentation field were analyzed from 49 publications with the top annual citation rates.

RESULTS

The analysis results showed that the number of publications had increased rapidly by year. The top related countries include the Chinese mainland, the United States, and India. Most of these publications were conference papers, besides there are also some top journals. The research hotspot in this field was deep learning-based medical image segmentation algorithms based on keyword analysis. These publications were divided into three categories: reviews, segmentation algorithm publications, and other relevant publications. Among these three categories, segmentation algorithm publications occupied the vast majority, and deep learning neural network-based algorithm was the research hotspots and frontiers.

CONCLUSIONS

Through this bibliometric research work, the research hotspot in the medical image segmentation field is uncovered and can point to future research in the field. It can be expected that more researchers will focus their work on deep learning neural network-based medical image segmentation.

Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses

Objective

To identify and evaluate the indexed studies that allow us to understand the implications of imaging studies in MRI and PET/CT related to COVID-19 research.

Methods

Scoping review. Articles in PubMed, Scopus, and Web of Science (WoS) were scanned from 2019 to 2021 with COVID-19, MRI, and PET-CT as keywords. EndNote software and manual checking removed the duplicated references. Our assessment includes citation, bibliometric, keyword network, and statistical analyses using descriptive statistics and correlations. Highlighted variables were publication year, country, journals, and authorship.

Results

Only 326 papers were included. The most cited article reached 669 cites; this number represented 21.71% of 3081 citations. The top-15 cited authors received 1787 citations, which represented 58% of the total cites. These authors had affiliations from ten countries (Belgium, China, France, Italy, Japan, Spain, Sweden, Turkey, United Kingdom (UK), and the USA). The top-30 journals were cited 2762 times, representing 89.65% of the total cites. Only five journals were cited more than 100 times; Int J Infect Dis had the most significant number of citations (674). Some of the unexpected keywords were encephalitis, stroke, microbleeds, myocarditis.

Conclusion

COVID-19 pandemic is still spreading worldwide, and the knowledge about its different facets continues advancing. MRI and PET/CT are being used in more than 50% of the selected studies; research trends span seven categories, no only the diagnostic but others like socio-economic impact and pathogenesis Developed countries had an advantage by having hospitals with more resources, including MRI and PET/CT facilities in the same institution to supplement basic assessment in patients with COVID-19.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40336-021-00460-x.

Robotic versus laparoscopic surgery for colorectal cancer: a case-control study

BACKGROUND

Robotic resections represent a novel approach to treatment of colorectal cancer. The aim of our study was to critically assess the implementation of robotic colorectal surgical program at our institution and to compare it to the established laparoscopically assisted surgery.

PATIENTS AND METHODS

A retrospective case-control study was designed to compare outcomes of consecutively operated patients who underwent elective laparoscopic or robotic colorectal resections at a tertiary academic centre from 2019 to 2020. The associations between patient characteristics, type of operation, operation duration, conversions, duration of hospitalization, complications and number of harvested lymph nodes were assessed by using univariate logistic regression analysis.

RESULTS

A total of 83 operations met inclusion criteria, 46 robotic and 37 laparoscopic resections, respectively. The groups were comparable regarding the patient and operative characteristics. The operative time was longer in the robotic group (p < 0.001), with fewer conversions to open surgery (p = 0.004), with less patients in need of transfusions (p = 0.004) and lower reoperation rate (p = 0.026). There was no significant difference between the length of stay (p = 0.17), the number of harvested lymph nodes (p = 0.24) and the overall complications (p = 0.58).

CONCLUSIONS

The short-term results of robotic colorectal resections were comparable to the laparoscopically assisted operations with fewer conversions to open surgery, fewer blood transfusions and lower reoperation rate in the robotic group.

The role of artificial intelligence in healthcare: a structured literature review

BACKGROUND/INTRODUCTION

Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, including accounting, business and management, decision sciences and health professions.

METHODS

The structured literature review with its reliable and replicable research protocol allowed the researchers to extract 288 peer-reviewed papers from Scopus. The authors used qualitative and quantitative variables to analyse authors, journals, keywords, and collaboration networks among researchers. Additionally, the paper benefited from the Bibliometrix R software package.

RESULTS

The investigation showed that the literature in this field is emerging. It focuses on health services management, predictive medicine, patient data and diagnostics, and clinical decision-making. The United States, China, and the United Kingdom contributed the highest number of studies. Keyword analysis revealed that AI can support physicians in making a diagnosis, predicting the spread of diseases and customising treatment paths.

CONCLUSIONS

The literature reveals several AI applications for health services and a stream of research that has not fully been covered. For instance, AI projects require skills and data quality awareness for data-intensive analysis and knowledge-based management. Insights can help researchers and health professionals understand and address future research on AI in the healthcare field.

Challenge and future of liver and pancreatic robotic surgery. Analysis of 64 cases in a specialized unit

INTRODUCTION

Robotic surgery has proven effective in certain surgical procedures. However, in liver and pancreatic surgery (HBP) its use is still rare. The initial experience in HBP robotic surgery of a specialized unit of a tertiary hospital is presented.

METHOD

The results of patients undergoing robotic HBP surgery between April 2018 and October 2020 have been prospectively studied. The data analyzed correspond to demographic data, surgical techniques performed, associated morbidity and mortality.

RESULTS

64 patients were operated, corresponding to 35 hepatectomies (major [6.7%], anatomic [52.9%], limited [34.4%], cystectomies [3%] and marsupialization [3%]), 29 pancreatectomies (distal [48.2%], central [6.9%], cephalic [13.8%], enucleations [24.1%], ampullectomies [3.5%] and duodenal resections [3.5%]). In liver surgery the mean operative time was 204.4 minutes (100-265 min), the median postoperative complications according to the Clavien-Dindo scale was one (1-4), the mean blood losses 166.7 mL (100-300 mL), there was no conversion and the mean postoperative stay was four days (2-14 days). In pancreatic surgery, the mean operative time was 243.8 minutes (125-460 min), the median of postoperative complications was two (1-4), blood loss of 202.3 mL (100-500 mL) associated to a conversion rate 17.8% and an average stay of seven days (3-23 days).

CONCLUSIONS

Robotic HBP surgery is safe and feasible. It is suggested that its use facilitates parenchymal sparing surgery, access to posterior liver segments and anastomosis in pancreatic reconstruction compared to laparoscopic surgery.