STUDY DESIGN: An observational study.
PLACE AND DURATION OF STUDY: Pediatric Oncology Ward, Shaukat Khanum Cancer Hospital, Lahore, from January 2015 to July 2017.
METHODOLOGY: Patients aged 1-15 years, diagnosed with ALL, were included. Studied variables were cytogenetic type and MRD outcome in patients with ALL. Patients under one year of age and more than 15 years, or those having comorbidities, were excluded.
RESULTS: Total 150 patients' data were retrieved from the Hospital database. One hundred and thirty-three belonged to age 1 to 5 years group (89%) and 17 (11%) were in 5 to 10 years group. The mean age of the patient was 4.3 +3.1 years. One hundred and two (68%) were males; whereas, 48 (32%) were females. Pre B acute lymphoblastic leukemia was diagnosed in 139 (93%) patients and 11(7%) were diagnosed with Pre T acute lymphoblastic leukemia. Standard risk was observed in 120 (80%) patients and 30 (20%) patients were on high risk as per National Cancer Institute (NCI) Guidelines. Regimen A was used in 125 (83.3%), Regimen B in 16 (10.7%), and Regimen C in 9 (6%) patients. BCR-ABL was positive in 2 (1.30%), TEL-AML in 68 (45%), MLL in 5 (3.30%), and normal in 54 (36%). MRD at day 29 was negative in 40 (93%) and positive in 3 (7%). The karyotyping was done in 128 (85%) patients, out of which 68 (53%) were hyperploids, 41 (32%) euploid, and 19 (15%) were hypoploid. Death was observed in 22 (15%) patients. Nineteen (86%) deaths were due to fungal and bacterial sepsis; and disease-related deaths were noted in 3 (14%) patients.
CONCLUSION: The role of MRD and cytogenetics in risk assessment has improved in the early prognosis determination.
Methods: A cross-sectional, questionnaire-based study was conducted among 482 medical, dental, and pharmacy students of 3rd- and 4th-year degree program of Asian Institute of Medicine, Science and Technology University to assess their KAP about HB infection using 34 prevalidated questions by convenient sampling method. A questionnaire was administered to the students, and their responses were measured at "yes" and "no" scale. Students' responses were entered in SPSS version 22, and quantitative analysis was performed using descriptive statistics and nonparametric tests at P < 0.05.
Findings: The medical, dental, and pharmacy students had good knowledge and practice with positive attitude about HB infection. Mann-Whitney U-test determined a significant difference in knowledge (P < 0.001) and practice (P < 0.001) scores between medical and pharmacy, attitude (P < 0.001) scores between medical and dental, and attitude (P < 0.001) and practice (P < 0.001) scores between pharmacy and dental students. Students' age was correlated with their attitude, practice, and KAP scores and family income with their knowledge, attitude, practice, and KAP scores.
Conclusion: Although students' knowledge and practice were good with positive attitude, all the students did not participate in health education program, screening, and vaccination of hepatitis B virus (HBV) infection which makes them more vulnerable to occupational HBV infection. Hence, it is recommended to organize a regular health education program for the students on screening and vaccination against HBV to prevent its infection.
METHODS: Elsevier's Scopus was used to search and analyze the 50 most frequently cited scientific papers. After the screening process, two reviewers arranged the articles in a descending order based on their citation counts. Each article was then cross-matched with Google Scholar. The articles were analyzed, and information including citation counts, citation density, publication year, authorship, contributing institutions and countries, article topic, study design, and keywords was extracted.
RESULTS: The literature search identified 2421 articles. The citation counts of the 50 selected articles varied from 117 to 580 (Scopus) and 206 to 1130 (Google Scholar). The year in which most top 50 articles were published was 2002 (n = 5). Among 105 authors, the greatest contribution was made by JO Andreasen (n = 12). Most of the articles originated from the United States (n = 12) with the greatest contributions from the University Hospital (Rigshospitalet), Copenhagen, Denmark (n = 6). Original research article was the most frequent study design (n = 34). The majority of the top 50 articles were focused on traumatic dental injuries. Among 131 unique key words, root resorption (n = 6) was the most frequently used. A non-significant correlation occurred between citation count (correlation coefficient = 0.127, P = .378), citation density (correlation coefficient = 0.654, P = 2.493), and publication age.
CONCLUSIONS: This study identified the top 50 most cited articles published in this journal in the specialty of Dental Traumatology. The publication year of an article was not significantly associated with citation count nor citation density.
METHODS: This bibliometric work investigated the academic publication trends in medical image segmentation technology. These data were collected from the Web of Science (WoS) Core Collection and the Scopus. In the quantitative analysis stage, important visual maps were produced to show publication trends from five different perspectives including annual publications, countries, top authors, publication sources, and keywords. In the qualitative analysis stage, the frequently used methods and research trends in the medical image segmentation field were analyzed from 49 publications with the top annual citation rates.
RESULTS: The analysis results showed that the number of publications had increased rapidly by year. The top related countries include the Chinese mainland, the United States, and India. Most of these publications were conference papers, besides there are also some top journals. The research hotspot in this field was deep learning-based medical image segmentation algorithms based on keyword analysis. These publications were divided into three categories: reviews, segmentation algorithm publications, and other relevant publications. Among these three categories, segmentation algorithm publications occupied the vast majority, and deep learning neural network-based algorithm was the research hotspots and frontiers.
CONCLUSIONS: Through this bibliometric research work, the research hotspot in the medical image segmentation field is uncovered and can point to future research in the field. It can be expected that more researchers will focus their work on deep learning neural network-based medical image segmentation.
METHODOLOGY: The Clarivate Analytics' Web of Science 'All Databases' was used to search and analyse the 100 most frequently cited randomized controlled trials, systematic reviews and meta-analyses having 'randomized', 'randomised', 'randomized controlled', 'randomised controlled', 'randomized controlled trial', 'randomized controlled trials', 'clinical trial', 'systematic', 'systematic review', 'meta-analysis', and 'meta-analyses' in the title section. The 'International Endodontic Journal', 'Journal of Endodontics', 'Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology', 'Australian Endodontic Journal', 'Endodontics & Dental Traumatology', 'Endo-Endodontic Practice Today' and 'European Endodontic Journal' were included in the publication name section. After ranking the articles in a descending order based on their citation counts, each article was cross-matched with the citation counts in Elsevier's Scopus and Google Scholar. The articles were analysed, and information on citation counts, citation density, year of publication, contributing authors, institutions and countries, journal of publication, study design, topic of the article and keywords was extracted.
RESULTS: The citation counts of the 100 most-cited articles varied from 235 to 20 (Web of Science), 276 to 17 (Scopus) and 696 to 1 (Google Scholar). The year in which the top 100 articles were published was 2010 (n = 13). Among 373 authors, the greatest number of articles was associated with three individuals namely Reader A (n = 5), Beck M (n = 5) and Kvist T (n = 5). Most of the articles originated from the United States (n = 24) with the greatest contribution from Ohio State University (USA) (n = 5). Randomized controlled trials were the most frequent study design (n = 45) followed by systematic reviews (n = 30) with outcome studies of root canal treatment being the major topic (n = 35). The Journal of Endodontics published the largest number of included articles (n = 70) followed by the International Endodontic Journal (n = 27). Among 259 unique keywords, meta-analysis (n = 23) and systematic review (n = 23) were the most frequently used.
CONCLUSION: This study has revealed that year of publication had no obvious impact on citation count. The bibliometric analysis highlighted the quantity and quality of research, and the evolution of scientific advancements made in the field of Endodontology over time. Articles before 1996, that is prior to the CONSORT statement that encouraged authors to include specific terms in the title and keywords, may not have been included in this electronic search.