Search

Anesthesia-induced neurotoxicity is a major concern for anesthetists for more than 20 years. Many experimental and clinical studies have been conducted on this topic since late 1990s. However, bibliometric analysis of these papers has not been reported. In this study, we aimed to analyze the 100 most cited articles on anesthesia-induced neurotoxicity. It was planned as cross-sectional study. On January 30, 2023, we searched the "Web of Science (WOS)" database for anesthesia-induced neurotoxicity and most cited 100 papers about this topic were obtained. Data such as authors' names, year of publication, name of the journal, type of paper, and citation numbers were analyzed. The most cited 100 papers were read by the investigators, and the anesthetic, animal type in experimental studies, any protective agent and the method for detecting neurotoxicity used in the studies were also noted. There were 75 articles and 22 reviews in the 100 most cited articles. We found that most of the papers in most cited 100 list were published between 2010 to 1024. Most of the papers (11%) were from Harvard University and almost half of the papers (49%) were published in Anesthesiology. A great number of studies were performed in newborns or early childhood (85.5%) and inhalational anesthetics (54.7%) were the most studied anesthetic type. Most of the most cited 100 papers were published in Q1 journals (P = .012) and the continent of the most journals in this list was America (P = .014). The median total and annual citation numbers of funded papers were statistically significantly higher (P < .001 and P < .001 respectively). Anesthesia-induced neurotoxicity is very important, especially for pediatric anesthetists. This study is the first to conduct a bibliometric analysis of the most cited 100 publications on this field. Although there was a gap in the publications about this topic during COVID-19 pandemic, we believe that there will be many more publications on anesthesia-induced neurotoxicity since the mechanism, outcome and possible protection are still unknown., Competing Interests: The authors have no funding and conflicts of interest to disclose, (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Numerous studies have explored the most productive and influential authors in a specific field. However, 2 challenges arise when conducting such research. First, some authors may have identical names in the study data, and second, the contributions of coauthors may vary in the article by line, requiring consideration. Failure to address these issues may result in biased research findings. Our objective was to illustrate how the author-weighted scheme (AWS) and betweenness centrality (BC) can be employed to identify the 10 most frequently cited authors in a particular journal and analyze their research themes., Methods: We collected 24,058 abstracts from the PubMed library between 2000 and 2020 using the keyword "Medicine [Journal]." Author names, countries/regions, and medical subject headings (MeSH terms) were collected. The AWS to identify the top 10 authors with a higher x-index was applied. To address the issue of authors with identical names affiliated with different research institutes, we utilized the BC method. Social network analysis (SNA) was conducted, and 10 major clusters were identified to highlight authors with a higher x-index within the corresponding clusters. We utilized SNA to analyze the MeSH terms from articles of the 10 top-cited authors to identify their research themes., Results: Our findings revealed the following: within the top 10 cited authors, 2 authors from China shared identical names with Jing Li and Tao-Wang; JA Winkelstein from Maryland (US) had the highest x-index (15.58); Chia-Hung Kao from Taiwan was the most prolific author, having published 115 articles in Medicine since 2003; and the 3 primary research themes, namely, complications, etiology, and epidemiology, were identified using MeSH terms from the 10 most frequently cited authors., Conclusions: Using AWS and BC, we identified the top 10 most cited authors. The research methods we utilized in this study (BC and AWS) have the potential to be applied to other bibliometric analyses in the future., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: This study explored the validity and reliability of brief pain inventory (BPI) and pain detection questionnaire (PD-Q) based on WeChat and paper versions for collecting data on patients with herpes zoster-induced neuralgia., Methods: The study participants were 160 patients with herpes zoster-induced neuralgia admitted in our hospital from December 2017 to June 2020. Initially, the participants were randomly divided into group A (n = 80) and group B (n = 80). Then, they were required to complete the Chinese versions of the BPI and PD-Q. In group A, the WeChat version was finished first, followed by the paper version. In group B, the paper version was completed first, followed by the WeChat version. Then, the test-retest reliability was analyzed by comparing the intraclass correlation coefficient (ICC) between the 2 groups. Bland-Altman plots and Pearson correlation coefficient were used to analyze the concordance between the paper and WeChat versions., Results: Patients generally preferred the WeChat version of the BPI and PD-Q, particularly men and patients with pain duration ≥ 30 minutes. Specifically, no significant differences in the completion time of the BPI and PD-Q was found between the 2 groups. All patients had high test-retest reliability and internal consistency for both WeChat and paper versions (BPI: ICC, 0.913; Cronbach alpha coefficient, 0.959; PD-Q: ICC, 0.825; Cronbach alpha coefficient, 0.894). Bland-Altman plots indicated no significant systematic deviations between the WeChat and paper versions. Pearson correlation coefficient revealed a strong correlation between BPI (Spearman, 0.928) and PD-Q (Spearman, 0.830) questionnaires., Conclusion: The WeChat and paper versions of the BPI and PD-Q have good repeatability, reliability, and consistency for collecting data on patients with herpes zoster-induced neuralgia., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Cancer has been the major and increasing cause of premature death and years of life lost. Various studies suggested the correlation between the aging process and cancer genesis. To evaluate the performance of the articles and to identify and compare the top-cited articles on aging and cancer, a cross-sectional bibliometric analysis was performed. Top-cited articles that were indexed in the Core databases in Web of Science were utilized to identify articles published from inception to September 3, 2022. The top 100 most-cited articles on aging and cancer were evaluated for their specific characteristics. Both Microsoft Office Excel and Visual Basic for Applications were used to analyze the number of publications and scientific cooperations among authors over time. The query identified the top 100 most-cited articles from the 368,504 articles. The top cited articles accumulated 308,106 citations. The citations per article ranged from 39,141 to 1040. Thirty journals published these 100 articles, with the Ca-A Cancer Journal for Clinicians publishing the largest number. Most articles have focused on the trend analysis of incidence, survival outcomes, and prognosis of cancer from different origins. Co-authorship analysis revealed intense collaborative activity between United States authoritative academic institutions and scholars. The present study is the first to analyze most cited papers in "aging and cancer." The historical trends, current status, and future direction in the field of older patients with cancer are systematically summarized. The occurrence and development of cancer is correlated with aging., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

This study aimed to identify, characterize, and map the important attributes of the top 100 most cited papers on BRCA1 and BRCA2 genes. The scientific literature on BRCA1 and BRCA2 was searched in the Web of Science Core Collection database using the keywords "BRCA1" OR "BRCA2" (Title). The top 100 most cited papers were selected based on citations. The obtained data were exported into HistCiteTM, RStudio, and VOSviewer software for prerequisite analysis. The top 100 most cited papers on BRCA1 and BRCA2 were authored by 932 authors from 24 countries and published in 27 journals. These papers were cited 79,713 times, ranging from 441 to 4671 citations. The highly cited paper was cited 4671 times and published in Science (1994). The leading author, journal, publication year, institution, and country were Easton DF (n = 16), Nature Genetics (n = 11), 2002 (n = 11), University of Pennsylvania (n = 17), and the USA (n = 76), respectively. The results show that all the top 100 papers were produced in developed countries. The collaboration index among the authors was 9.49. The most frequently appeared keywords were ovarian-cancer, breast-cancer, mutations, gene, and familial breast. In recent times, the trend topics were patients, mutations, carriers, ovarian, and risk., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)

Medication adherence is crucial for success in the management of patients with chronic conditions. This study analyzes whether a mobile application on a tablet aimed at supporting drug intake and vital sign parameter documentation affects adherence in elderly patients.Patients with coronary heart disease and no prior knowledge of tablet computers were recruited. They received a personal introduction to the mobile application Medication Plan, installed on an Apple iPad. The study was conducted using a crossover design with 3 sequences: initial phase, interventional phase (28 days of using the app system), and comparative phase (28 days of using a paper diary). Users experienced the interventional and comparative phases alternately.A total of 24 patients (12 males; mean age 73.8 years) were enrolled in the study. The mean for subjectively assessed adherence (A14-scale; 5-point Likert scale, from "never" to "very often" which results in a score from 0 to 56) before the study was 50.0 (SD = 3.44). After both interventions there was a significant increase, which was more pronounced after the interventional phase (54.0; SD = 2.01) than after the comparative phase (52.6; SD = 2.49) (for all pairs after both interventions, P <0.001). Neither medical conditions nor the number of drug intake (amount and frequency of drug taking) per day affected subjective adherence. Logging data showed a significantly stronger adherence for the medication app than the paper system for both blood pressure recordings (P <0.001) and medication intake (P = 0.033). The majority of participants (n = 22) stated that they would like to use the medication app in their daily lives and would not need further assistance with the app.A mobile app for medication adherence increased objectively and subjectively measured adherence in elderly users undergoing rehabilitation. The findings have promising clinical implications: digital tools can assist chronic disease patients achieve adherence to medication and to blood pressure measurement. Although this requires initial offline training, it can reduce complications and clinical overload because of nonadherence., Competing Interests: The authors have no conflicts of interest to disclose.