Abstract
IntroductionThe purpose of this study was to assess the landscape of parathyroid carcinoma research during the last 22 years using machine learning and text analysis.MethodIn November 2021, we obtained from PubMed all works indexed under the mesh subject line “parathyroid carcinoma”. The entire set of search results was retrieved in XML format, and metadata such as title, abstract, keywords, mesh words, and year of publication were extracted for bibliometric evaluation from the original XML files. To increase the specificity of the investigation, the Latent Dirichlet allocation (LDA) topic modeling method was applied.ResultsThe paper analyzed 3578 papers. The volume of literature related to parathyroid cancer has been relatively flat over the past 22 years. In the field of parathyroid cancer research, the most important topic of clinical interest is the differential diagnosis. Ultrasound and MIBI are the most commonly used imaging methods for localization. In terms of basic research, the mechanisms of gene mutation and local tumor recurrence are the focus of interest.ConclusionThere are huge unmet research needs for parathyroid carcinoma. Improving the diagnosis rates of parathyroid cancer by clinicians and establishing new and reliable molecular pathological markers and new image localization techniques will continue to be the focus of future research.
Highlights
The purpose of this study was to assess the landscape of parathyroid carcinoma research during the last 22 years using machine learning and text analysis
We downloaded all publications indexed under the mesh subject line “parathyroid carcinoma” from the public version of PubMed in November 2021
The Latent Dirichlet Allocation (LDA) algorithm gives the probability that an article examines a particular research topic based on the frequency of feature words in each document [6, 7]
Summary
The purpose of this study was to assess the landscape of parathyroid carcinoma research during the last 22 years using machine learning and text analysis. The exact cause of parathyroid cancer is still unclear, and the clinical manifestations are diverse and difficult to diagnose differently from many other diseases. Parathyroid carcinoma is characterized by high serum ionized calcium and parathyroid hormone levels, but the lack of specific clinical, biochemical, or radiological features makes it difficult to distinguish it from the more common adenomas or parathyroid hyperplasia [2]. Parathyroid cancer is often underdiagnosed due to its small size and inadequate clinical recognition, and most patients die from uncontrolled severe hypercalcemia rather than the tumor itself [3]. It is extremely important to improve the level of clinicians in recognizing and diagnosing parathyroid cancer, to make a clear diagnosis as early as possible, and to select the most suitable surgical procedure for timely treatment to improve the survival rate and prolong the survival time of patients
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