Insight into the research history and trends of total anomalous pulmonary venous connection: a bibliometric analysis.

BACKGROUND: Total anomalous pulmonary venous connection (TAPVC) is a rare congenital heart disease characterized by the inability of all pulmonary veins to connect to the left atrium. Our previous bibliometric article summarized the characteristics of only the 100 most cited papers in TAPVC research. The purpose of this study was to use comprehensive bibliometric analysis to examine the development history, current status, and future trends in the field of TAPVC. METHODS: All publications on TAPVC published between 2000 and 2023 were collected from the Web of Science Core Collection. The publication and citation data were quantitatively analyzed by publication year, country, institution, author, and journal. Co-authorship and co-occurrence analyses were performed using VOSviewer, and keyword and reference bursts were identified using CiteSpace. Pearson's test was used to examine the correlations between two continuous variables. RESULTS: As of July 20, 2023, we identified 368 publications with 3320 citations. These publications were published in 132 journals and authored by 1835 researchers from 457 institutions in 47 countries. For the number of publications, the top country, top institution, top author, and top journals were the United States (n = 82), Shanghai Jiao Tong University (n = 13), Huiwen Chen (n = 9), and Annals of Thoracic Surgery and Pediatric Cardiology (n = 29 each), respectively. For the number of citations, the top country, top affiliation, top author, and top journal were the United States (n = 1348), University of Toronto (n = 250), Christopher A. Caldarone (n = 315), and Annals of Thoracic Surgery (n = 746), respectively. The number of national publications significantly correlated with GDP (R = 0.887, P < 0.001), research & development (R&D) expenditure (R = 0.375, P = 0.013), population (R = 0.694, P < 0.001), and journals (R = 0.751, P < 0.001). The number of national citations significantly correlated with GDP (R = 0.881, P < 0.001), R&D expenditure (R = 0.446, P = 0.003), population (R = 0.305, P = 0.037), and journals (R = 0.917, P < 0.001). International collaboration in the field of TAPVC was not well developed. The most commonly cited publication discussed era changes in mortality and reoperation rate in TAPVC patients. The most common keywords were "total anomalous pulmonary venous connection" and "congenital heart disease". The keyword "case report" appeared most recently, with an average occurrence year of 2021.8. The co-occurrence analysis grouped 26 keywords into six themes: surgical repair of TAPVC, postoperative pulmonary vein stenosis, surgical repair of TAPVC patients with heterotaxy, application of echocardiography in diagnosing TAPVC, application of echocardiography in the prenatal diagnosis of TAPVC, and application of the sutureless technique in the surgical repair of TAPVC patients with right atrial isomerism or a single ventricle. Citation burst detection identified 32 references with citation bursts, seven of which had ongoing citation bursts until 2023. CONCLUSIONS: This study conducted a bibliometric analysis to provide a comprehensive overview of TAPVC research. We hope to offer new ideas for promoting development in the field of TAPVC.

The 100 most cited papers on total anomalous pulmonary venous connection: a bibliometric analysis.

BACKGROUND: The number of citations a paper receives reflects its impact on the scientific community. We aimed to identify and explore the characteristics of the most cited papers on total anomalous pulmonary venous connection (TAPVC). METHODS: Web of Science Core Collection Expanded Science Citation Index (1900 to present) was searched and papers on TAPVC were reviewed. Articles were ranked by the number of citations and the 100 most cited papers were analyzed. RESULTS: The 100 most cited papers were published between 1952 and 2018 with a mean number of citations of 52 (range 26 to 148). The 1990s was the most productive decade. All articles except one were written in English. The 100 most cited articles were published in 24 journals, led by Journal of Thoracic and Cardiovascular Surgery (21 articles), followed by Annals of Thoracic Surgery (20 articles), and Circulation (16 articles). The United States of America contributed most of the 100 most cited papers (60 articles). Hospital for Sick Children, Toronto led the list of citation classics with six papers. Christopher A. Caldarone, John W. Kirklin, and P. E. F. Daubeney were the most productive authors with 3 articles each. More than half of the papers were cohort studies (51 articles). Surgery, radiology and etiology were the main topics. Thirty-one articles were funded by public foundations, and none received support from commercial companies. CONCLUSIONS: The bibliometric analysis gives a historical perspective on scientific progress in the field of TAPVC and lays the foundation for future research.

DRG grouping by machine learning: from expert-oriented to data-based method.

BACKGROUND: Diagnosis-related groups (DRGs) are a payment system that could effectively solve the problem of excessive increases in healthcare costs which are applied as a principal measure in the healthcare reform in China. However, expert-oriented DRG grouping is a black box with the drawbacks of upcoding and high cost. METHODS: This study proposes a method of data-based grouping, designed and updated by machine learning algorithms, which could be trained by real cases, or even simulated cases. It inherits the decision-making rules from the expert-oriented grouping and improves performance by incorporating continuous updates at low cost. Five typical classification algorithms were assessed and some suggestions were made for algorithm choice. The kappa coefficients were reported to evaluate the performance of grouping. RESULTS: Based on tenfold cross-validation, experiments showed that data-based grouping had a similar classification performance to the expert-oriented grouping when choosing suitable algorithms. The groupings trained by simulated cases had less accuracy when they were tested by the real cases rather than simulated cases, but the kappa coefficients of the best model were still higher than 0.6. When the grouping was tested in a new DRGs system, the average kappa coefficients were significantly improved from 0.1534 to 0.6435 by the update; and with enough computation resources, the update process could be completed in a very short time. CONCLUSIONS: As a new potential option, the data-based grouping meets the requirements of the DRGs system and has the advantages of high transparency and low cost in the design and update process.