A Bibliometric Analysis of 34,692 Publications on Thyroid Cancer by Machine Learning: How Much Has Been Done in the Past Three Decades?

Bibliometric Insight Into Thyroid Cancer Research: A Comprehensive Review and Future Directions

INTRODUCTION

In the past 3 decades, thyroid cancer research has surged, becoming the leading topic in clinical thyroidology. Despite this, there's a lack of data identifying key articles, authors, and journals. This study aims to provide insights for authors, physicians, and research labs by highlighting the most influential journals, authors, and research topics in thyroid cancer.

METHODS

A comprehensive search was conducted using the Scopus database, employing the medical subject heading (MeSH) terms "Thyroid" and "Cancer" in the titles, abstracts, or keywords of articles. The search was limited to English articles in academic medicine journals published between January 1993 and December 2021.

RESULTS

The search yielded 21 472 articles across 3076 journals, authored by 13 974 senior authors. The number of journals publishing on thyroid cancer expanded from 29 in 1993 to 733 in 2021, marking an average annual growth of 14%. Article output on the topic increased from 54 in the initial year to 1580 by 2021, with an annual growth rate of 16%. A thematic analysis revealed 369 articles mentioning "BRAF" since 2004, 479 articles on "ultrasound" techniques, 325 on "ablation" methods, and 453 articles focusing on "genetics" in thyroid cancer. The Journal of Clinical Endocrinology and Metabolism emerged as the most prolific, publishing 1017 articles over the 29-year period.

CONCLUSION

This study guides resource allocation towards impactful journals for thyroid cancer researchers, helps identify key contributors for collaboration or mentorship, and provides a framework for similar analyses in other fields.

Machine Learning-based Analysis of Publications Funded by the National Institutes of Health's Initial COVID-19 Pandemic Response

Background

The National Institutes of Health (NIH) mobilized more than $4 billion in extramural funding for the COVID-19 pandemic. Assessing the research output from this effort is crucial to understanding how the scientific community leveraged federal funding and responded to this public health crisis.

Methods

NIH-funded COVID-19 grants awarded between January 2020 and December 2021 were identified from NIH Research Portfolio Online Reporting Tools Expenditures and Results using the "COVID-19 Response" filter. PubMed identifications of publications under these grants were collected and the NIH iCite tool was used to determine citation counts and focus (eg, clinical, animal). iCite and the NIH's LitCOVID database were used to identify publications directly related to COVID-19. Publication titles and Medical Subject Heading terms were used as inputs to a machine learning-based model built to identify common topics/themes within the publications.

Results and Conclusions

We evaluated 2401 grants that resulted in 14 654 publications. The majority of these papers were published in peer-reviewed journals, though 483 were published to preprint servers. In total, 2764 (19%) papers were directly related to COVID-19 and generated 252 029 citations. These papers were mostly clinically focused (62%), followed by cell/molecular (32%), and animal focused (6%). Roughly 60% of preprint publications were cell/molecular-focused, compared with 26% of nonpreprint publications. The machine learning-based model identified the top 3 research topics to be clinical trials and outcomes research (8.5% of papers), coronavirus-related heart and lung damage (7.3%), and COVID-19 transmission/epidemiology (7.2%). This study provides key insights regarding how researchers leveraged federal funding to study the COVID-19 pandemic during its initial phase.

Global research landscape and trends of papillary thyroid cancer therapy: a bibliometric analysis

Background

Papillary thyroid cancer (PTC) is the most common endocrine malignancy worldwide. The treatment of PTC has attracted extensive attention and discussion from the public and scholars. However, no article has systematically assessed the related literature. Therefore, we conducted a bibliometric and knowledge map analysis to reveal the dynamic scientific developments in the PTC therapy field.

Methods

We retrieved publications related to PTC therapy from the Web of Scientific Core Collection (WoSCC) on May 1, 2023. The bibliometric package in R software, VOSviewer and CiteSpace software were used to analyze countries/regions, institutions, journals, authors, references, and keywords. Then, we systematized and summarized the research landscape, global trends and hot topics of research.

Results

This bibliometric analysis spanned from 2012 to 2022 and involved 18,501 authors affiliated with 3,426 institutions across 87 countries/regions, resulting in the publication of 3,954 papers in 860 academic journals. Notably, the number of publications and citations related to PTC therapy research has exhibited a steady increase over the past decade. China and the United States have emerged as leading contributors in terms of publication count, with the United States also being the most cited country. Furthermore, among the top 10 institutions with the highest number of published papers, half were located in China. Among the journals, Thyroid is ranked first in terms of total publications and citations. The most productive individual author was Miyauchi Akira. While previous research primarily focused on surgery and radioactive iodine therapy, the increasing emphasis on health awareness and advancements in medical technology have led to the emergence of active surveillance, thermal ablation, and genomic analysis as prominent areas of research.

Conclusion

In conclusion, this comprehensive and quantitative bibliometric analysis elucidates the research trends and hotspots within PTC therapy, drawing from a substantial body of publications. This study provides valuable insights into the historical and current landscape of PTC therapy research while also offering guidance for future research directions. This study serves as a valuable resource for researchers and practitioners seeking new avenues of exploration in the field.

Research trends in ferroptosis since the origin of the concept: A bibliometric analysis

Ferroptosis is a newly characterized form of regulated cell death. This bibliometric analysis identified the scientific output, leading institutions and research teams, current research hotspots and trends in research on ferroptosis since the origin of the concept. We searched the Science Citation Index Expanded of Web of Science Core Collection for papers on ferroptosis up to 3 June 2022. The acquired data were analysed and visualized by Bibliometrix package and VOSviewer. The study ultimately included 3511 relevant papers, and annual production in this field has grown rapidly in recent years. Institutions and scholars from China contributed the most work, but the impact of their research was much less than that of the United States. Prof. Brent R. Stockwell's team from Columbia University in the United States has a very strong academic influence in the field. Front Cell Dev Biol published the most papers in the field of ferroptosis. As the keywords of the papers in this field changed from the most numerous 'oxidative stress', 'cell-death', 'iron', 'expression', and 'lipid-peroxidation', to 'prognosis', 'immunotherapy', 'progression', 'tumour microenvironment', and 'colorectal cancer', the hotspot of ferroptosis research is gradually shifting from basic research to clinical translational research. The mechanism of tumour formation and treatment will become the frontier in the field of ferroptosis research in the future.

Research topics and hotspot trends of lumbar spondylolisthesis: A text-mining study with machine learning

Objectives

The study aimed to conduct a bibliometric analysis of publications concerning lumbar spondylolisthesis, as well as summarize its research topics and hotspot trends with machine-learning based text mining.

Methods

The data were extracted from the Web of Science Core Collection (WoSCC) database and then analyzed in Rstudio1.3.1 and CiteSpace5.8. Annual publication production and the top-20 productive authors over time were obtained. Additionally, top-20 productive journals and top-20 influential journals were compared by spine-subspecialty or not. Similarly, top-20 productive countries/regions and top-20 influential countries/regions were compared by they were developed countries/regions or not. The collaborative relationship among countries and institutions were presented. The main topics of lumbar spondylolisthesis were classified by Latent Dirichlet allocation (LDA) analysis, and the hotspot trends were indicated by keywords with strongest citation bursts.

Results

Up to 2021, a total number of 4,245 articles concerning lumbar spondylolisthesis were finally included for bibliometric analysis. Spine-subspecialty journals were found to be dominant in the productivity and the impact of the field, and SPINE, EUROPEAN SPINE JOURNAL and JOURNAL OF NEUROSURGERY-SPINE were the top-3 productive and the top-3 influential journals in this field. USA, Japan and China have contributed to over half of the publication productivity, but European countries seemed to publish more influential articles. It seemed that developed countries/regions tended to produce more articles and more influential articles, and international collaborations mainly occurred among USA, Europe and eastern Asia. Publications concerning surgical management was the major topic, followed by radiographic assessment and epidemiology for this field. Surgical management especially minimally invasive technique for lumbar spondylolisthesis were the recent hotspots over the past 5 years.

Conclusions

The study successfully summarized the productivity and impact of different entities, which should benefit the journal selection and pursuit of international collaboration for researcher who were interested in the field of lumbar spondylolisthesis. Additionally, the current study may encourage more researchers joining in the field and somewhat inform their research direction in the future.

A Bibliometric Analysis of 8271 Publications on Thyroid Nodules From 2000 to 2021

INTRODUCTION

Thyroid nodules (TNs) are a common clinical condition. The probability of thyroid nodules being malignant is 7-15%. However, in recent decades, a number of publications on TNs have not been well summarized and discussed. The aim of this study was to summarize and sort out medical publications on TNs over the past 2 decades using a bibliometric method.

MATERIALS AND METHODS

Medical publications from January 1^st, 2000, to November 1^st, 2021, were searched in the Web of Science Core Collection database using the Medical Subject Heading (MeSH) term "thyroid nodule". Full associated data were downloaded, and detailed information was extracted using the bibliometric analysis platform VOSviewer.

RESULTS

A total of 8271 publications related to TNs from the last 2 decades were found and included in this study. An increasing trend was presented in the annual number of publications. The United States, China and Italy contributed the most publications. Carcinoma, management, ultrasound, and fine-needle aspiration were the most popular subjects in the field of TNs. The topics of the studies could be stratified into four clusters. The first cluster was using ultrasound to evaluate the nodules, including the thyroid imaging reporting and data system (TI-RADS), elastography and benign features. The second cluster was the fine-needle aspiration method, including the Bethesda system, cytology and BRAF mutations. The third cluster was the management of nodules, including radiofrequency and thermal ablation, surgery, and consensus statements. The last cluster was carcinoma, which is correlated with all three clusters described above. The preoperative diagnosis of cytologically indeterminate nodules was particularly highlighted in the top 10 most cited publications in recent years.

CONCLUSION

How to diagnose thyroid nodules as malignant or benign, especially in cytologically indeterminate nodules, is still the most concerning topic in TN research. Although the fine-needle aspiration method and gene-expression classifiers show promising results, there is still a crucial need for translations from fundamental studies to clinical applications.