Global trends and insights in vascular surgery research from 2000 to 2023
Bibliographic record
Abstract
<h2>Abstract</h2><h3>Objectives</h3> This study aimed to provide a comprehensive bibliometric analysis of vascular surgery research from 2000 to 2023, examining trends in publications, key research themes, and international collaboration networks. <h3>Methods</h3> A literature search was conducted via Scopus, including English-language articles, reviews, and conference papers published between 2000 and 2023 in 16 key vascular surgery journals. Multiple parameters of the retrieved publications were analyzed, including annual growth, key themes identified through author keyword co-occurrence analysis, productivity and impact of countries, institutions, journals, and authors through citation analysis, and collaborative networks through co-authorship analysis. <h3>Results</h3> Our search yielded 43,483 documents with a mean of 23.5 citations per document and an overall <i>h</i>-index of 242. There was a steady increase in annual publications, rising from 1257 documents in 2000 to 2974 in 2023. The predominant research themes identified were abdominal aortic aneurysm (1559 occurrences), peripheral artery/arterial disease (1222 occurrences), and endovascular aneurysm repair (752 occurrences), with additional focus areas including carotid endarterectomy (511 occurrences), and varicose veins (310 occurrences). The <i>Journal of Vascular Surgery</i> emerged as the most prolific journal, publishing 10,760 documents (24.7%) with 430,306 citations (42.1%), followed by the <i>Annals of Vascular Surgery</i> (7464 documents, 17.2%) and the <i>Journal of Vascular and Interventional Radiology</i> (5613 documents, 12.9%). The United States led in research productivity, producing 20,324 documents with 554,038 citations, followed by the United Kingdom (3743 documents and 118,370 citations) and the Netherlands (2220 documents and 71,016 citations). Institutionally, the Department of Vascular Surgery at the Cleveland Clinic Foundation led with 238 documents and 12,784 citations. Furthermore, 14 of the top 20 most productive institutions and all 10 of the top 10 authors with the highest total citation counts were American. <h3>Conclusions</h3> This study provides a comprehensive bibliometric analysis of vascular surgery research spanning from 2000 to 2023, revealing substantial growth in publication output and identifying key research themes. The findings underscore the dominant role of the United States in shaping global research collaboration within vascular surgery, as evidenced by its significant contributions in publication volume and citations across national, institutional, and individual authorship domains. These insights provide valuable guidance for future research endeavors aimed at advancing understanding and enhancing the effectiveness of vascular surgery research globally.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".