Exploring the research landscape of the past, present, and future of thyroid nodules.

Introduction: The purpose of this study was to assess the landscape of thyroid nodules research during the last 22 years using machine learning and text analysis.

Methods: In November 2021, we obtained from PubMed all works indexed under the Medical Subject Headings (MeSH) subject line "thyroid nodules." 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.

Trends in Worldwide Research in Inflammatory Bowel Disease Over the Period 2012-2021: A Bibliometric Study.

Background: Inflammatory bowel disease (IBD) is a continuously increasing and worldwide disease, and the number of publications of IBD has been expanding in the past 10 years. The purpose of this study is to analyze the published articles of IBD in the past decade via machine learning and text analysis and get a more comprehensive understanding of the research trends and changes in IBD in the past 10 years.

Method: In November 2021, we downloaded the published articles related to IBD in PubMed for the past 10 years (2012-2021).

The Research Landscape of Multiple Endocrine Neoplasia Type 1 (2000-2021): A Bibliometric Analysis.

Introduction: This study aimed to investigate the landscape of Multiple Endocrine Neoplasia Type 1 research during the last 22 years using machine learning and text analysis.

Method: In December 2021, all publications indexed under the MeSH term "Multiple Endocrine Neoplasia Type 1" were obtained from PubMed. The whole set of search results was downloaded in XML format, and metadata such as title, abstract, keywords, mesh words, and year of publication were extracted from the original XML files for bibliometric evaluation.

A Bibliometric Analysis of the Landscape of Parathyroid Carcinoma Research Based on the PubMed (2000-2021).

Introduction: 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.

Method: In 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.

[Corrigendum] Identification of microRNAs associated with the aggressiveness of prolactin pituitary tumors using bioinformatic analysis.

Following the publication of this article, an interested reader contacted the authors about some possible anomalies in the presentation of the data in Table I, and they have realized that this Table contained some errors. Two different entries for the miRNA hsa‑miR‑886‑3p were inadvertently included in the Table, due to there being two different microarray IDs for this miRNA when performing differential analysis by GEO2R (Owing to an oversight, the repeated miRNA was not deleted; therefore, the row of data for the second has‑miR‑886‑3p entry, comprising P‑value 0.00235, t‑value, 3.

Development of a Nomogram With Alternative Splicing Signatures for Predicting the Prognosis of Glioblastoma: A Study Based on Large-Scale Sequencing Data.

Alternative splicing (AS) was reported to play a vital role in development and progression of glioblastoma (GBM), the most common and fatal brain tumor. Systematic analysis of survival-associated AS event profiles and prognostic prediction model based on multiple AS events in GBM was needed. Genome-wide AS and RNA sequencing profiles were generated in 152 patients with GBM in the cancer genome atlas (TCGA).

A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed.

Background And Aims: The aim of this study was to analyse the landscape of publications on rectal cancer (RC) over the past 25 years by machine learning and semantic analysis.

Methods: Publications indexed in PubMed under the Medical Subject Headings (MeSH) term 'Rectal Neoplasms' from 1994 to 2018 were downloaded in September 2019. R and Python were used to extract publication date, MeSH terms and abstract from the metadata of each publication for bibliometric assessment.

Comprehensive identification of a two-genesignature as a novel potential prognostic model for patients with medulloblastoma.

Medulloblastoma is one of the most common malignant pediatric brain tumors and has a poor prognosis and high mortality. We investigated the prognostic significance of specific gene signatures and established a novel prognostic model for medulloblastoma patients. Ninety-seven differentially expressed genes between 69 medulloblastoma samples and 4 normal cerebellum samples were identified using the GSE68956 dataset.

Clinical Characteristics of Pediatric Patients With Sellar and Suprasellar Lesions Who Initially Present With Central Diabetes Insipidus: A Retrospective Study of 55 Cases From a Large Pituitary Center in China.

To increase knowledge for the early differential diagnosis and accurate therapeutic strategies for pediatric patients with sellar or suprasellar region (SSR) lesions who initially present with central diabetes insipidus (CDI). This is a retrospective review of 55 pediatric patients (≤14 years old) with identified lesions in the SSR who initially presented with CDI at a large pituitary center between 2012 and 2018. The following data were summarized: demographic, clinical, endocrine, and neuroimaging data, intraoperative findings, histopathological findings, treatments, and prognosis.

Publication Landscape Analysis on Gliomas: How Much Has Been Done in the Past 25 Years?

The body of glioma-related literature has grown significantly over the past 25 years. Despite this growth in the amount of published research, gliomas remain one of the most intransigent cancers. The purpose of this study was to analyze the landscape of glioma-related research over the past 25 years using machine learning and text analysis.

Lung function and blood gas abnormalities in patients with acromegaly.

Objective: Respiratory disorders are common complications of acromegaly patients. We conducted a large-scale survey in the patients with acromegaly and demonstrated the characteristics of their lung function and blood gas.

Methods: A prospective cohort study was conducted with 115 patients with active acromegaly and 56 patients with nonfunctioning pituitary adenomas.

Development and validation of a nomogram with an autophagy-related gene signature for predicting survival in patients with glioblastoma.

Glioblastoma (GBM) is the most common brain tumor with significant morbidity and mortality. Autophagy plays a vital role in GBM development and progression. We aimed to establish an autophagy-related multigene expression signature for individualized prognosis prediction in patients with GBM.

Preoperative and Postoperative Bone Mineral Density Change and Risk Factor Analysis in Patients with a GH-Secreting Pituitary Adenoma.

Purpose: This study analysed changes in bone mineral density (BMD) at different sites in patients with acromegaly and postoperative BMD changes and explored risk factors associated with BMD.

Methods: Clinical data of 39 patients with growth hormone- (GH-) secreting pituitary adenomas and 29 patients with nonfunctioning pituitary adenomas who were newly diagnosed in neurosurgery from January 2016 to December 2018 were retrospectively analysed, including measurements of preoperative and postoperative BMD, serum GH glucose inhibition, random GH and IGF-1, and other anterior pituitary hormones.

Results: The average patient age and disease duration were 43.

Preoperative Fasting C-Peptide Acts as a Promising Predictor of Improved Glucose Tolerance in Patients With Acromegaly After Transsphenoidal Surgery: A Retrospective Study of 64 Cases From a Large Pituitary Center in China.

Abnormal glucose metabolism is one of the most frequent acromegaly complications. Improvement of glucose metabolism can be observed only in half of acromegaly patients after surgery. We aimed to investigate the risk factors for determining abnormal glucose metabolism before surgery in patients with acromegaly, and to explore the predictors of improved preoperative glucose intolerance after surgery.

Identification of microRNAs associated with the aggressiveness of prolactin pituitary tumors using bioinformatic analysis.

Aggressive prolactin pituitary tumors, which exhibit aggressive behaviors and resistance to conventional treatments, are a huge challenge for neurosurgeons. Many studies have investigated the roles of microRNAs (miRNAs) in pituitary tumorigenesis, invasion and metastasis, but few have explored aggressiveness‑associated miRNAs in aggressive pituitary tumors. Differentially expressed miRNAs (DEMs) between aggressive and nonaggressive prolactin pituitary tumors were screened using the GSE46294 miRNA expression profile downloaded from the GEO database.

Clinical Characteristics and Postoperative Recovery of Hypopituitarism in Patients with Nonfunctional Pituitary Adenoma.

Objective: To investigate the clinical characteristics of hypopituitarism and its reversibility after surgery for nonfunctional pituitary adenoma (NFPA); analyze the correlation between tumor size and hypopituitarism incidence; and predict hypopituitarism by tumor volume and maximum diameter.

Methods: We retrospectively reviewed 164 patients with NFPA who underwent surgical treatment at Peking Union Medical College Hospital from January 2016 to December 2016. Demographic, imaging, and endocrine data were collected during preoperative, postoperative, and long-term follow-up (21.

Delayed Remission of Growth Hormone-Secreting Pituitary Adenoma After Transsphenoidal Adenectomy.

Objective: To investigate the clinical characteristics of delayed remission (DR) of growth hormone (GH)-secreting pituitary adenoma after transsphenoidal adenectomy and inform follow-up treatments.

Methods: We retrospectively reviewed 87 patients who had undergone transsphenoidal surgery for acromegaly. Demographic, radiological, and endocrinological data were reviewed before, immediately after, 3 months after, and in the long term (2.

Coagulative necrotic pituitary adenoma apoplexy: A retrospective study of 21 cases from a large pituitary center in China.

Purpose: Coagulative necrotic pituitary apoplexy (CNPA) is a clinical entity with unique intraoperative and histopathological manifestations. We aimed to improve the knowledge of this rare disease through the largest case series published to date.

Methods: A retrospective review of 21 CNPA patients was performed from among 5095 patients who underwent surgery for pituitary adenomas at a single institution between January 2009 and June 2017.

Top 100 Most-Cited Articles on Pituitary Adenoma: A Bibliometric Analysis.

Background: Many articles have been published on pituitary adenomas. Bibliometric analyses are helpful for determining the most impactful studies within a field.

Objective: To identify the top 100 most-cited articles on pituitary adenomas using the bibliometric analysis method.

Coagulation Alteration and Deep Vein Thrombosis in Brain Tumor Patients During the Perioperative Period.

Objective: To explore coagulation function in patients with brain tumors before and after craniotomy and tumor resection and to analyze its correlation with deep vein thrombosis (DVT).

Methods: This study enrolled 133 consecutive patients with brain tumors. Coagulation evaluation and limb venous ultrasonography were performed before and after surgery.

SOX9/miR-130a/CTR1 axis modulates DDP-resistance of cervical cancer cell.

Cisplatin (DDP) -based chemotherapy is a standard strategy for cervical cancer, while chemoresistance remains a huge challenge. Copper transporter protein 1 (CTR1), a copper influx transporter required for high affinity copper (probably reduced Cu I) transport into the cell, reportedly promotes a significant fraction of DDP internalization in tumor cells. In the present study, we evaluated the function of CTR1 in the cell proliferation of cervical cancer upon DDP treatment.

[Depression and self-efficacy in medical residents].

To evaluate the status of depression and to determine the association between depression and self-efficacy in medical residents.
 Methods: Self-made questionnaire of general situation, Patient Health Questionnaire-9, and general self-efficacy scale were applied to 223 new residents from a hospital in Hunan Province to evaluate the general situation, the status of depression, level of self-efficacy sense and the influential factors. Pearson correlation analysis and multiple stepwise regression analysis were performed to assess the association between depression and self-efficacy, and the influential factors of residents, respectively.