Research trends for papillary thyroid carcinoma from 2010 to 2019: A systematic review and bibliometrics analysis

Prediction of papillary thyroid metastases to the central compartment: proposal of a model taking into consideration other thyroid conditions

Objective

To construct risk prediction models for cervical lymph node metastasis (CLNM) of papillary thyroid carcinoma (PTC) under different thyroid disease backgrounds and to analyze and compare risk factors among different groups.

Methods

This retrospective study included 518 patients with PTC that was pathologically confirmed post-operatively from January 2021 to November 2021. Demographic, ultrasound and pathological data were recorded. Univariate and multivariate logistic regression analyses were performed to identify factors associated with CLNM in the whole patient cohort and in patients grouped according to diagnoses of Hashimoto's thyroiditis (HT), nodular goiter (NG), and no background disease. Prediction models were constructed for each group, and their performances were compared.

Results

Analysis of the whole PTC patient cohort identified NG as independently associated with CLNM. The independent risk factors for patients with no background disease were the maximum thyroid nodule diameter and American College of Radiology Thyroid Imaging Reporting & Data System score; those for patients with HT were the maximum thyroid nodule diameter, ACR TI-RADS score, and multifocality; and those for patients with NG were the maximum thyroid nodule diameter, ACR TI-RADS score, multifocality and gender.

Conclusion

Background thyroid disease impacts CLNM in PTC patients, and risk factors for CLNM vary among PTC patients with different background diseases. Ultrasound is useful for diagnosing background thyroid disease, which can inform treatment planning. Different prediction models are recommended for PTC cases with different thyroid diseases.

A dynamic study of the postoperative management of thyroid cancer from 2003 to 2022: a bibliometric analysis

Background

Over the past 20 years, the global incidence of thyroid cancer has continued to increase. The volume of literature on the postoperative management of thyroid cancer comprises 1,040 articles, from 64 countries, with 1,400 journals publishing the relevant literature, and several guidelines on the treatment of thyroid cancer. This study used bibliometric methods to identify research hotspots and explore future directions in this field.

Methods

We comprehensively searched the Science Citation Index Expanded (SCI-E) database of the Web of Science Core Collection (WOSCC) for articles published from 2003 to 2022 on the postoperative management of thyroid cancer. Using CiteSpace 6.1.R6 and Microsoft Office Excel 2010, we evaluated and visualized the search results. Using R Studio, we generated a network of spatial geographic distribution maps and cooperative network.

Results

A total of 1,040 publications were included in the study. The results revealed an overall upward trend in the number of publications and citations over the past 20 years. The United States of America (USA) had the largest number of publications and the highest centrality (n=282, centrality =0.28). Johns Hopkins University had highest centrality (centrality =0.15) and was the academic center of the field. Thyroid was the journal with the highest number of citations (n=826), and the American Journal of Surgical Pathology was the journal with the highest centrality (centrality =0.08). The top 10 citations in the literature were mainly guidelines and consensus statements on the management of thyroid cancer. A keyword-based clustering analysis revealed the prominence of clusters of keywords, such as follow-up, recurrent laryngeal nerve, and medullary thyroid carcinoma (MTC). A keyword burst detection analysis showed that the term papillary had the highest burst intensity (strength =8.02), while management guidelines, association guidelines, active surveillance (AS), microcarcinoma, and differentiated thyroid cancer were the current burst words.

Conclusions

Over the past two decades, the number of relevant publications in the postoperative management of thyroid cancer field has continued to grow. Among the many research directions, follow-up, recurrent laryngeal nerve, and MTC are research hotspots. Future research is likely to revolve around guidelines and consensus statements on the management of thyroid cancer, AS, and microcarcinoma in differentiated thyroid cancer.

A multi-dimension information fusion-based intelligent prediction approach for health literacy

Health literacy refers to the ability of individuals to obtain and understand health information and use it to maintain and promote their own health. This paper manages to make predictions toward its development degree in society with use of a big data-driven statistical learning method. Actually, such results can be analyzed by discovering latent rules from massive public textual contents. As a result, this paper proposes a deep information fusion-based smart prediction approach for health literacy. Specifically, the latent Dirichlet allocation (LDA) and convolutional neural network (CNN) structures are utilized as the basic backbone to understand semantic features of textual contents. The feature learning results of LDA and CNN can be then mapped into prediction results via following multi-dimension computing structures. After constructing the CNN model, we can input health information into the model for feature extraction. The CNN model can automatically learn valuable features from raw health information through multi-layer convolution and pooling operations. These characteristics may include lifestyle habits, physiological indicators, biochemical indicators, etc., reflecting the patient's health status and disease risk. After extracting features, we can train the CNN model through a training set and evaluate the performance of the model using a test set. The goal of this step is to optimize the parameters of the model so that it can accurately predict health information. We can use common evaluation indicators such as accuracy, precision, recall, etc. to evaluate the performance of the model. At last, some simulation experiments are conducted on real-world data collected from famous international universities. The case study analyzes health literacy difference between China of developed countries. Some prediction results can be obtained from the case study. The proposed approach can be proved effective from the discussion of prediction results.

[Detection of DNA methylation of HYAL2 gene for differentiating malignant from benign thyroid tumors]

OBJECTIVE

To assess the value of DNA methylation level of HYAL2 gene as a molecular marker for differential diagnosis of malignant and benign thyroid tumors.

METHODS

DNA methylation of HYAL2 gene in tissue specimens of 190 patients with papillary thyroid cancer (PTC) and 190 age- and gender-matched patients with benign thyroid tumors was examined by mass spectrometry, and the protein expression of HYAL2 was detected immunohistochemically for another 55 pairs of patients. Logistic regression analysis was performed to calculate the odds ratio (OR) and evaluate the correlation of per 10% reduction in DNA methylation with PTC. Receiver operating characteristic (ROC) curve analysis was performed and the area under curve (AUC) was calculated to assess the predictive value of alterations in HYAL2 methylation.

RESULTS

Hypomethylation of HYAL2_CpG_3 was significantly correlated with early-stage PTC (OR=1.51, P=0.001), even in stage I cancer (OR=1.42, P=0.007). Age-stratified analysis revealed a significantly stronger correlation between increased HYAL2_CpG_ 3 methylation and early-stage PTC in patients below 50 years than in those older than 50 years (OR: 1.89 vs 1.37, P < 0.05); ROC analysis also showed a larger AUC of 0.787 in younger patients. The results of immunohistochemistry showed that patients with PTC had significantly higher protein expressions of HYAL2 than patients with benign tumors.

CONCLUSION

The alterations of DNA methylation level of HYAL2 gene is significantly correlated with early-stage PTC, suggesting the value of DNA methylation level as a potential biomarker for differentiation of malignant from benign thyroid tumors.

Global trends of indocyanine green fluorescence navigation in laparoscopic cholecystectomy: bibliometrics and knowledge atlas analysis

BACKGROUND

Indocyanine green fluorescence cholangiography is a new type of cholangiography that has emerged in recent years. It has many advantages, such as simplicity, safety, and efficiency, and is expected to become a routine procedure for intraoperative cholangiography in the future. However, there is no bibliometric analysis of horizontal generalization in this field. Therefore, this study aims to assess the current research status and developmental trends in this field from a global perspective and to help guide the focus of future research.

METHODS

This study was conducted by retrieving the literature related to ICG fluorescence cholangiography published in English from 2000 to 2021 from Web of Science. The Histcite. Pro tool was used to analyze the bibliometric indicators, and VOSviewer was used to visualize the research trends and hotspots in this field.

RESULTS

192 related studies were finally included. For the past 20 years, the number of related publications in this field have increased yearly, with 2010 being a breakthrough point for research in this field. Research has developed rapidly since 2013 and may continue to expand in the next several years. The USA and Japan play leading roles in this field. "SURG ENDOSC", "SURG INNOV", and "J LAPAROENDOSC ADV S" are core journals that publish high-quality literature and the latest developments in this field. Some authors who have a large number of high-quality publications include Ishizawa T and Kokudo N. The current research hotspots in this field are focused on exploring the factors that affect ICG cholangiography and optimization measures.

CONCLUSIONS

In general, the number of documents related to ICG fluorescence cholangiography is growing rapidly, with the USA and Japan being influential countries and China being one of the major producers of these documents. The optimization of this new technology will affect key developments in future research.

Relationship between serum NDRG3 and papillary thyroid carcinoma

BACKGROUND

In recent years, papillary thyroid carcinoma is considered to be one of the fastest increaseing cancer. NDRG family member 3 (NDRG3) has been proposed as a molecular marker of tumor, and is expected to be used in clinic.

METHODS

Enzyme-linked immunosorbent assay was used to detect the serum NDRG3 expression in 81 papillary thyroid carcinoma cases, 75 benign thyroid nodules cases and 77 healthy control cases, respectively. Electrochemiluminescence method was applied to measure the levels of triiodothyronine, tetraiodothyronine, thyrotropin, thyroglobulin antibody and thyroid peroxidase antibody. Immunohistochemical staining was used to detect the expression of NDRG3 in papillary thyroid carcinoma, benign thyroid nodules and normal tissues adjacent to cancer.

RESULTS

The expression of serum triiodothyronine, tetraiodothyronine, thyrotropin, thyroglobulin antibody and thyroid peroxidase antibody and NDRG3 were significantly different among benign thyroid nodules, papillary thyroid carcinoma cases and healthy control groups (P <0.001). Only the expression of serum NDRG3 was significantly different between benign thyroid nodules and papillary thyroid carcinoma groups (P <0.001). Immunohistochemistry showed that NDRG3 was expressed in all three groups, the lowest in papillary thyroid carcinoma, the second in benign thyroid nodules, and the highest in normal tissues adjacent to cancer. Logistic regression analysis showed that serum NDRG3 was an independent protective factor for papillary thyroid carcinoma (OR =0.964, 95%CI =0.953 to 0.974, P <0.001). The ROC curve of non-papillary thyroid carcinoma diagnosed by serum NDRG3 showed the optimal cut-off value of 481.38 pg/ml, sensitivity of 72.4%, specificity of 90.1%, and the maximum area under the curve (AUC =0.902, 95%CI =0.863 to 0.940, P <0.001). The ROC curve of benign thyroid nodules diagnosed by serum NDRG3 showed the optimal critical value of 459.28 pg/ml, sensitivity of 81.3%, and specificity of 74.1% (AUC =0.863, 95%CI =0.808 to 0.919, P <0.001). The expression level of serum NDRG3 was significantly correlated with extrathyroid extensionand (P =0.007) and lymphatic metastasis of papillary thyroid carcinoma (P =0.019).

CONCLUSIONS

The decrease of NDRG3 expression can not only differential diagnosis benign thyroid nodules and papillary thyroid carcinoma, but also serve as a molecular marker for the diagnosis of papillary thyroid carcinoma.

Research Hotspots and Trends in Music Therapy Intervention for Patients With Dementia: A Bibliometrics and Visual Analysis of Papers Published From 2010 to 2021

BACKGROUND

As a serious public health problem, dementia has placed a heavy burden on society and families. Evidence suggests that the use of music therapy as a non-pharmacological intervention has certain advantages with respect to reducing the behavioral and psychological symptoms of dementia (BPSD) and improving the cognition and mental status of dementia patients. However, research trends and hotspots regarding music therapy intervention for dementia analysis have not been systematically studied via bibliometric analysis.

METHODS

We searched the Web of Science Core Collection (WoSCC) for texts published between January 1, 2010, and October 31, 2021, and visualized country, institution, journal, keyword co-occurrence, keyword emergence and keyword clustering.

RESULTS

A total of 217 articles from the WoSCC database were analyzed. In this research field, the annual number of publications has generally shown a slowly increasing trend, and the United States has the most publications and the most frequent cooperation among countries. University College London (UCL) has the most extensive influence among research institutions. Among articles, those published in the JOURNAL OF ALZHEIMER'S DISEASE were the most numerous, with 20 such articles being published, accounting for 9.22% (20/217) of the total. Comprehensive analysis of five clusters via biclustering shows that the research hotspots in this field during the past 11 years have mainly focused on the autobiographical memory, cognitive function, mental state and BPSD of dementia patients.

CONCLUSION

This study conducted a bibliometric and visual analysis of relevant studies concerning music therapy intervention for dementia patients. Psychological problems faced by dementia patients and the topics of quality of life, individualized music therapy, the mental state of caregivers and other related topics may be important research directions in the future. Therefore, the question of how to develop standardized research protocols and identify unified efficacy evaluation indicators should be a focus of and difficulty for future research.

Research productivity in the genetics of papillary thyroid carcinoma (1991-2020): a bibliometric analysis

BACKGROUND AND AIM

Papillary thyroid carcinoma accounts for 85% of thyroid follicular epithelial-derived cancers. The identification of pathogenetic mechanisms improved the understating of papillary thyroid carcinoma pathogenesis. The current study aims to examine the research productivity and trends in the genetics of papillary thyroid carcinoma from 1991 to 2020.

METHODS

The Web of Science Core Collection database was searched to retrieve the relevant literature. A search string was applied and 1,741 relevant records were selected for the analysis. Bibliometric techniques were used in the statistical analysis with the help of Biblioshiny (RStudio).

RESULTS

The growth in the number of publications was observed to be over a hundred publications per year since 2015. 'Thyroid' published the highest number of publications, followed by 'Journal of Clinical Endocrinology & Metabolism'. 'Nikiforov YE' was identified as the most productive researcher with a total of 49 publications. Out of the top 20 most contributing researchers, seven belonged to Italy, and four were from the USA. 'University of Pittsburgh' contributed the highest number of publications. The top contributing countries in this field were the USA, China, and Italy. BRAF and RAS were among the frequently used keywords.

CONCLUSIONS

This bibliometric review demonstrates that investigating the genetics underlying papillary thyroid carcinoma is a rapidly growing area of research. During the last two decades, China has been a significant contributor to the field. Besides, institutions in USA and Italy have significantly contributed to research in the genetics of papillary thyroid carcinoma. (www.actabiomedica.it).