scholarly journals Evolution of knowledge on meniscal biomechanics: a 40 year perspective

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Amin Mohamadi ◽  
Kaveh Momenzadeh ◽  
Aidin Masoudi ◽  
Kempland C. Walley ◽  
Kenny Ierardi ◽  
...  
Keyword(s):  
Future Research ◽  
Fe Model ◽  
Cruciate Ligaments ◽  
Fe Modeling ◽  
Meniscal Tears ◽  
Medical Subject Headings ◽  
Model Studies ◽  
The Past ◽  
Mesh Terms ◽  
Kinematic Studies

Abstract Background Knowledge regarding the biomechanics of the meniscus has grown exponentially throughout the last four decades. Numerous studies have helped develop this knowledge, but these studies have varied widely in their approach to analyzing the meniscus. As one of the subcategories of mechanical phenomena Medical Subject Headings (MeSH) terms, mechanical stress was introduced in 1973. This study aims to provide an up-to-date chronological overview and highlights the evolutionary comprehension and understanding of meniscus biomechanics over the past forty years. Methods A literature review was conducted in April 2021 through PubMed. As a result, fifty-seven papers were chosen for this narrative review and divided into categories; Cadaveric, Finite element (FE) modeling, and Kinematic studies. Results Investigations in the 1970s and 1980s focused primarily on cadaveric biomechanics. These studies have generated the fundamental knowledge basis for the emergence of FE model studies in the 1990s. As FE model studies started to show comparable results to the gold standard cadaveric models in the 2000s, the need for understanding changes in tissue stress during various movements triggered the start of cadaveric and FE model studies on kinematics. Conclusion This study focuses on a chronological examination of studies on meniscus biomechanics in order to introduce concepts, theories, methods, and developments achieved over the past 40 years and also to identify the likely direction for future research. The biomechanics of intact meniscus and various types of meniscal tears has been broadly studied. Nevertheless, the biomechanics of meniscal tears, meniscectomy, or repairs in the knee with other concurrent problems such as torn cruciate ligaments or genu-valgum or genu-varum have not been extensively studied.

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

2020 ◽  
Vol 13 ◽  
pp. 175628482093459
Author(s):  
Kangtao Wang ◽  
Chenzhe Feng ◽  
Ming Li ◽  
Qian Pei ◽  
Yuqiang Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rectal Cancer ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Basic Research ◽  
Mesh Term ◽  
Publication Date ◽  
Medical Subject Headings ◽  
The Past ◽  
Mesh Terms

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. Latent Dirichlet allocation was applied to analyse the text from the articles’ abstracts to identify more specific research topics. Louvain algorithm was used to establish a topic network resulting in identifying the relationship between the topics. Results: A total of 23,492 papers published were identified and analysed in this study. The changes of research focus were analysed by the changing of MeSH terms. Studied contents extracted from the publications were divided into five areas, including surgical intervention, radiotherapy and chemotherapy intervention, clinical case management, epidemiology and cancer risk as well as prognosis studies. Conclusions: The number of publications indexed on RC has expanded rapidly over the past 25 years. Studies on RC have mainly focused on five areas. However, studies on basic research, postoperative quality of life and cost-effective research were relatively lacking. It is predicted that basic research, inflammation and some other research fields might become the potential hotspots in the future.

scholarly journals Landscape of Infantile Hemangioma Management Trends on the 100 Top-Cited Articles Since 2010: Bibliometric Analysis

2021 ◽  
Author(s):  
Meng-Ju Li ◽  
Lin-Yen Wang ◽  
Tsair-wei Chien ◽  
Feng-Jie Lai ◽  
Kuang-Wen Liao ◽  
...  
Keyword(s):  
Management Strategies ◽  
Treatment Guideline ◽  
Infantile Hemangioma ◽  
Vascular Tumor ◽  
Mesh Term ◽  
Impact Factors ◽  
Future Research ◽  
Ulcer Formation ◽  
Medical Subject Headings ◽  
Mesh Terms

Abstract Background: An infantile hemangioma (IH) is a type of benign vascular tumor that affects babies. They usually begin during the first four weeks of life, grow until about five months of life, and then shrink in size and disappear over the next few years. Complications may include pain, bleeding, ulcer formation, heart failure, or disfigurement. Numerous articles on IH have been published in literature, sharing expanded management strategies. Nevertheless, definite treatment guideline for IH is inconclusive due to differences in heterogenous presentations, varied severity and treatment strategy among countries. This study aimed to apply the medical subject headings (MeSH terms) to predict the number of article citations using 100 top-cited IH articles (T100IHs) and dissect their characteristics including the influential authors and affiliated counties since 2010.Methods: By searching the PubMed Central® (PMC) database, the T100IHs since 2010 were downloaded. Citation analysis was performed to compare the dominant countries and authors using social network analysis (SNA) and visual representations. MeSH terms were clustered by SNA when referring their citations in articles. The prediction effect was assessed based on its correlation coefficients (CC) between impact factors(IF) of MeSH terms and the T100IHs. Results: We observed that (1) the top three productive countries and journals in T100IHs were the US (49%), China (10%), France (8%); and Pediatrics (10%), Br J Dermatol (6%), Pediatr Dermatol (4%); (2) the most cited article (PMID=25693013 with 145 citations) was authored by Christine Léauté-Labrèze from France in 2015; (3) the most cited MeSH term was pharmacology with IF equal to 42.46 in T100IHs. MeSH terms were evident in prediction power on the number of article citations (correlation coefficient = 0.46; t = 5.11; p<0.01, n = 100). Conclusion: The breakthrough was made by making the citation prediction on T100IHs. MeSH terms are evident in predicting article citations using SNA and IF calculation approaches that can be applied to future research, and is not limited to the IH topic as we did in this study.

scholarly journals Bibliometric Analysis of Dental Erosion (2011–2020)

2021 ◽  
Vol 11 (22) ◽  
pp. 10971
Author(s):  
Laura Marqués Martínez ◽  
Carla Borrell García ◽  
Clara Guinot Barona ◽  
Paula Boo Gordillo ◽  
Esther García Miralles
Keyword(s):  
Bibliometric Analysis ◽  
Management Strategies ◽  
Dental Erosion ◽  
Research Articles ◽  
Future Research ◽  
Cross Sectional ◽  
The Past ◽  
Mesh Terms ◽  
Number Of Publications ◽  
The Uk

During the past decade, an increase in the number of studies about dental erosion has been observed. The aim of the present study was to describe the current trends in published scientific articles related to dental erosion between 2011 and 2020. Data of the authors, year and language of publication were analyzed. A bibliometric analysis of the articles published in PubMed was conducted using the MeSH terms (dental erosion) and (tooth erosion) using the Boolean operator OR/AND. A sample of n = 1090 articles published during the past ten years (2011–2020) was obtained. The variables analyzed were the language of the article, the year of publishing, the number of authors, the affiliations of the first and last author and the relationship between them. The countries of origin of the first and last author were ranked according to the number of publications, led by Brazil, the UK, and the USA. During the analysis of the type of article, we observed that 79.4% of all publications were research articles. In recent years, a significant increase in research articles on dental erosion has been observed, especially in Brazil and the UK, with a high number of publications of translational articles in humans and cross-sectional observational studies. The main findings in this article will help researchers, academics and students to characterize scientific results regarding dental erosion, to evaluate management strategies and to identify important topics and issues that will help design future research.

scholarly journals Identification of research trends concerning application of stent implantation in the treatment of pancreatic diseases by quantitative and biclustering analysis: a bibliometric analysis

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7674 ◽  
Author(s):  
Xuan Zhu ◽  
Xing Niu ◽  
Tao Li ◽  
Chang Liu ◽  
Lijie Chen ◽  
...  
Keyword(s):  
Stent Implantation ◽  
High Frequency ◽  
Clinical Applications ◽  
Future Research ◽  
Fourth Quadrant ◽  
Medical Subject Headings ◽  
Pancreatic Diseases ◽  
Mesh Terms ◽  
Cluster Strategy ◽  
Occurrence Matrix

Objectives In recent years, with the development of biological materials, the types and clinical applications of stents have been increasing in pancreatic diseases. However, relevant problems are also constantly emerging. Our purpose was to summarize current hotspots and explore potential topics in the fields of the application of stent implantation in the treatment of pancreatic diseases for future scientific research. Methods Publications on the application of stents in pancreatic diseases were retrieved from PubMed without language limits. High-frequency Medical Subject Headings (MeSH) terms were identified through Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Biclustering analysis results were visualized utilizing the gCLUTO software. Finally, we plotted a strategic diagram. Results A total of 4,087 relevant publications were obtained from PubMed until May 15th, 2018. Eighty-three high-frequency MeSH terms were identified. Biclustering analysis revealed that these high-frequency MeSH terms were classified into eight clusters. After calculating the density and concentricity of each cluster, strategy diagram was presented. The cluster 5 “complications such as pancreatitis associated with stent implantation” was located at the fourth quadrant with high centricity and low density. Conclusions In our study, we found eight topics concerning the application of stent implantation in the treatment of pancreatic diseases. How to reduce the incidence of postoperative complications and improve the prognosis of patients with pancreatic diseases by stent implantation could become potential hotspots in the future research.

scholarly journals Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications

2021 ◽  
Vol 30 (01) ◽  
pp. 219-225
Author(s):  
Scott P. McGrath ◽  
Mary Lauren Benton ◽  
Maryam Tavakoli ◽  
Nicholas P. Tatonetti
Keyword(s):  
Critical Role ◽  
Translational Bioinformatics ◽  
Medical Subject Headings ◽  
Research Gaps ◽  
The Past ◽  
Mesh Terms ◽  
Objective Quality ◽  
Significant Research ◽  
Emerging Themes ◽  
Translational Informatics

Summary Objectives: Provide an overview of the emerging themes and notable papers which were published in 2020 in the field of Bioinformatics and Translational Informatics (BTI) for the International Medical Informatics Association Yearbook. Methods: A team of 16 individuals scanned the literature from the past year. Using a scoring rubric, papers were evaluated on their novelty, importance, and objective quality. 1,224 Medical Subject Headings (MeSH) terms extracted from these papers were used to identify themes and research focuses. The authors then used the scoring results to select notable papers and trends presented in this manuscript. Results: The search phase identified 263 potential papers and central themes of coronavirus disease 2019 (COVID-19), machine learning, and bioinformatics were examined in greater detail. Conclusions: When addressing a once in a centruy pandemic, scientists worldwide answered the call, with informaticians playing a critical role. Productivity and innovations reached new heights in both TBI and science, but significant research gaps remain.

Old-growth forest reserves in Slovenia: the past, present, and future

2012 ◽  
Vol 163 (6) ◽  
pp. 240-246 ◽  
Author(s):  
Thomas A. Nagel ◽  
Jurij Diaci ◽  
Dusan Rozenbergar ◽  
Tihomir Rugani ◽  
Dejan Firm
Keyword(s):  
Stand Structure ◽  
Growth Conditions ◽  
Ecosystem Functions ◽  
Future Research ◽  
Old Growth ◽  
Forest Reserves ◽  
The Past ◽  
Old Growth Forest ◽  
Forest Remnants ◽  
Basic Characteristics

Old-growth forest reserves in Slovenia: the past, present, and future Slovenia has a small number of old-growth forest remnants, as well as many forest reserves approaching old-growth conditions. In this paper, we describe some of the basic characteristics of these old-growth remnants and the history of their protection in Slovenia. We then trace the long-term development of research in these old-growth remnants, with a focus on methodological changes. We also review some of the recent findings from old-growth research in Slovenia and discuss future research needs. The conceptual understanding of how these forests work has slowly evolved, from thinking of them in terms of stable systems to more dynamic and unpredictable ones due to the influence of natural disturbances and indirect human influences. In accordance with this thinking, the methods used to study old-growth forests have changed from descriptions of stand structure to studies that address natural processes and ecosystem functions.

Liraglutide for the Treatment of Obesity: Analyzing Published Reviews

2019 ◽  
Vol 25 (15) ◽  
pp. 1783-1790 ◽  
Author(s):  
Rosario Pastor ◽  
Josep A. Tur
Keyword(s):  
Weight Loss ◽  
Clinical Trials ◽  
Systematic Reviews ◽  
Randomized Clinical Trials ◽  
Statistical Tests ◽  
Overweight And Obesity ◽  
Cochrane Library ◽  
Medical Subject Headings ◽  
Mesh Terms ◽  
Treatment Of Obesity

Background: Several drugs have been currently approved for the treatment of obesity. The pharmacokinetic of liraglutide, as well as the treatment of type 2 diabetes mellitus, have been widely described. Objective: To analyze the published systematic reviews on the use of liraglutide for the treatment of obesity. Methods: Systematic reviews were found out through MEDLINE searches, through EBSCO host and the Cochrane Library based on the following terms: "liraglutide" as major term and using the following Medical Subject Headings (MesH) terms: "obesity", "overweight", "weight loss". A total of 3 systematic reviews were finally included to be analyzed. Results: From the three systematic reviews selected, only two included the randomized clinical trials, while the third study reviewed both randomized and non-randomized clinical trials. Only one review performed statistical tests of heterogeneity and a meta-analysis, combining the results of individual studies. Another review showed the results of individual studies with odds ratio and confidence interval, but a second one just showed the means and confidence intervals. In all studies, weight loss was registered in persons treated with liraglutide in a dose dependent form, reaching a plateau at 3.0 mg dose, which was reached just in men. Most usual adverse events were gastrointestinal. Conclusion: More powerful and prospective studies are needed to assess all aspects related to liraglutide in the overweight and obesity treatment.

Chinese Medicine Protein and Peptide in Gene and Cell Therapy

2019 ◽  
Vol 20 (3) ◽  
pp. 251-264 ◽  
Author(s):  
Yinlu Feng ◽  
Zifei Yin ◽  
Daniel Zhang ◽  
Arun Srivastava ◽  
Chen Ling
Keyword(s):  
Chinese Medicine ◽  
Cell Therapy ◽  
Future Research ◽  
The Past ◽  
Promising Strategy ◽  
Wide Range ◽  
New Directions ◽  
Gene And Cell Therapy ◽  
Proteins And Peptides

The success of gene and cell therapy in clinic during the past two decades as well as our expanding ability to manipulate these biomaterials are leading to new therapeutic options for a wide range of inherited and acquired diseases. Combining conventional therapies with this emerging field is a promising strategy to treat those previously-thought untreatable diseases. Traditional Chinese medicine (TCM) has evolved for thousands of years in China and still plays an important role in human health. As part of the active ingredients of TCM, proteins and peptides have attracted long-term enthusiasm of researchers. More recently, they have been utilized in gene and cell therapy, resulting in promising novel strategies to treat both cancer and non-cancer diseases. This manuscript presents a critical review on this field, accompanied with perspectives on the challenges and new directions for future research in this emerging frontier.

The Role of Leukotrienes Inhibitors in the Management of Chronic Inflammatory Diseases

2020 ◽  
Vol 14 (1) ◽  
pp. 15-31
Author(s):  
Deepak Meshram ◽  
Khushbo Bhardwaj ◽  
Charulata Rathod ◽  
Gail B. Mahady ◽  
Kapil K. Soni
Keyword(s):  
Respiratory Diseases ◽  
Inflammatory Diseases ◽  
Leukotriene B4 ◽  
Published Data ◽  
Free Text ◽  
Plant Origin ◽  
Medical Subject Headings ◽  
Leukotriene Antagonists ◽  
Mesh Terms ◽  
Mediators Of Inflammation

Background: Leukotrienes are powerful mediators of inflammation and interact with specific receptors in target cell membrane to initiate an inflammatory response. Thus, Leukotrienes (LTs) are considered to be potent mediators of inflammatory diseases including allergic rhinitis, inflammatory bowel disease and asthma. Leukotriene B4 and the series of cysteinyl leukotrienes (C4, D4, and E4) are metabolites of arachidonic acid metabolism that cause inflammation. The cysteinyl LTs are known to increase vascular permeability, bronco-constriction and mucus secretion. Objectives: To review the published data for leukotriene inhibitors of plant origin and the recent patents for leukotriene inhibitors, as well as their role in the management of inflammatory diseases. Methods: Published data for leukotrienes antagonists of plant origin were searched from 1938 to 2019, without language restrictions using relevant keywords in both free text and Medical Subject Headings (MeSH terms) format. Literature and patent searches in the field of leukotriene inhibitors were carried out by using numerous scientific databases including Science Direct, PubMed, MEDLINE, Google Patents, US Patents, US Patent Applications, Abstract of Japan, German Patents, European Patents, WIPO and NAPRALERT. Finally, data from these information resources were analyzed and reported in the present study. Results: Currently, numerous anti-histaminic medicines are available including chloropheneremine, brompheniramine, cetirizine, and clementine. Furthermore, specific leukotriene antagonists from allopathic medicines are also available including zileuton, montelukast, pranlukast and zafirlukast and are considered effective and safe medicines as compared to the first generation medicines. The present study reports leukotrienes antagonistic agents of natural products and certain recent patents that could be an alternative medicine in the management of inflammation in respiratory diseases. Conclusion: The present study highlights recent updates on the pharmacology and patents on leukotriene antagonists in the management of inflammation respiratory diseases.

Attraction of prey

2018 ◽  
Author(s):  
John D. Horner ◽  
Bartosz J. Płachno ◽  
Ulrike Bauer ◽  
Bruno Di Giusto
Keyword(s):  
Visual Cues ◽  
Synergistic Action ◽  
Carnivorous Plants ◽  
Future Research ◽  
Acoustic Cues ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
The Past ◽  
The Cost ◽  
Prey Attraction

The ability to attract prey has long been considered a universal trait of carnivorous plants. We review studies from the past 25 years that have investigated the mechanisms by which carnivorous plants attract prey to their traps. Potential attractants include nectar, visual, olfactory, and acoustic cues. Each of these has been well documented to be effective in various species, but prey attraction is not ubiquitous among carnivorous plants. Directions for future research, especially in native habitats in the field, include: the qualitative and quantitative analysis of visual cues, volatiles, and nectar; temporal changes in attractants; synergistic action of combinations of attractants; the cost of attractants; and responses to putative attractants in electroantennograms and insect behavioral tests.

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