Trends in Research Related to Premenstrual Syndrome and Premenstrual Dysphoric Disorder: a Bibliometric Analysis

2020 ◽  
Author(s):  
Mingzhou Gao ◽  
Hui SUN ◽  
Changlong ZHANG ◽  
Dongmei GAO ◽  
Mingqi QIAO

Abstract Background The global incidence of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is increasing, with increasing suicide reports. However, the bibliometric analysis of global research on PMS and PMDD is rare. We aimed to evaluate the global scientific output of research on PMS and PMDD and to explore their research hotspots and frontiers from 1945 to 2018 using a bibliometric analysis methodology.Methods Articles with research on PMS and PMDD between 1945 and 2018 were retrieved from the Web of Science Core Collection (WoSCC). We used the bibliometric method, CiteSpace V and VOSviewer to analyze publication years, journals, countries, institutions, authors, research hotspots, and trends. We plotted the reference co-citation network, and we used keywords to analyze the research hot spots and trends.Results We identified 2,833 publications on PMS and PMDD research from 1945 to 2018, and the annual publication number increased with time, with fluctuations. Psychoneuroendocrinology published the highest number of articles. The United States ranked the highest among the countries with the most publications, and the leading institute was UNIV PENN. Keyword and reference analysis indicated that the menstrual cycle, depression and ovarian hormones were the research hotspots, whereas prevalence, systematic review, anxiety and depression and young women were the research frontiers.Conclusions We depicted overall research on PMS and PMDD by a bibliometric analysis methodology. Prevalence and impact in young women , systematic review evaluations of risk factors, and the association of anxiety and depression with menstrual cycle phases are the latest research frontiers that will pioneer the direction of research in the next few years.

2021 ◽  
Vol 9 ◽  
Author(s):  
Mingzhou Gao ◽  
Dongmei Gao ◽  
Hui Sun ◽  
Xunshu Cheng ◽  
Li An ◽  
...  

Background: The global incidence of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is increasing, with increasing suicide reports. However, the bibliometric analysis of global research on PMS and PMDD is rare. We aimed to evaluate the global scientific output of research on PMS and PMDD and to explore their research hotspots and frontiers from 1945 to 2018 using a bibliometric analysis methodology.Methods: Articles with research on PMS and PMDD between 1945 and 2018 were retrieved from the Web of Science Core Collection (WoSCC). We used the bibliometric method, CiteSpace V and VOSviewer to analyze publication years, journals, countries, institutions, authors, research hotspots, and trends. We plotted the reference co-citation network, and we used keywords to analyze the research hotspots and trends.Results: We identified 2,833 publications on PMS and PMDD research from 1945 to 2018, and the annual publication number increased with time, with fluctuations. Psychoneuroendocrinology published the highest number of articles. The USA ranked the highest among the countries with the most publications, and the leading institute was UNIV PENN. Keyword and reference analysis indicated that the menstrual cycle, depression and ovarian hormones were the research hotspots, whereas prevalence, systematic review, anxiety and depression and young women were the research frontiers.Conclusions: We depicted overall research on PMS and PMDD by a bibliometric analysis methodology. Prevalence and impact in young women, systematic review evaluations of risk factors, and the association of anxiety and depression with menstrual cycle phases are the latest research frontiers that will pioneer the direction of research in the next few years.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7603 ◽  
Author(s):  
Fangkun Zhao ◽  
Fengkun Du ◽  
Dong Shi ◽  
Wenkai Zhou ◽  
Youhong Jiang ◽  
...  

Objectives To map publication trends and explore research hotspots of retinal vein occlusion (RVO) study. Methods Based on Web of Science Core Collection (WoSCC), a bibliometric analysis was carried out. The knowledge map was constructed by VOSviewer v.1.6.10 to visualize the annual publication number, the distribution of countries, international collaborations, author productivity, source journals, cited reference and keywords in this field. Results A total of 2,135 peer-reviewed papers were retrieved on RVO from 2009 to 2018. The United States ranks highest among countries with the most publications and the most active institution was Kyoto University. Noma H contributed the most publications in this field. Retina—The Journal of Retinal and Vitreous Disease was the most prolific journal in RVO research. The top cited references mainly presented anti-VEGF medications on the management of RVO. The keywords formed six clusters: (1) Risk factors and pathogenesis of RVO; (2) Metabolismof RVO; (3) Therapeutic use of corticosteroids on RVO; (4) Diagnostic methodsof RVO; (5) Management of macular edema secondary to RVO (6) Anti-VEGFtreatment of RVO. Conclusions The six major research hotspots could provide an insight into RVO research and valuable information for researchers to identify potential collaborators and partner institutions.


2021 ◽  
Author(s):  
Jianfei Cao ◽  
Yeongjoo Lim ◽  
Shintaro Sengoku ◽  
Xitong Guo ◽  
Kota Kodama

BACKGROUND Smartphones have become an integral part of our lives with their unprecedented popularity and diversification of applications. The continuous upgrading of information technology has also enabled smartphones to display great potential in the field of healthcare. OBJECTIVE This study aimed to clarify the future research direction of mHealth by analyzing its research trends and latest research hotspots. METHODS This study collected mHealth-related literature published between 2000 and 2020 from the Web of Science database. Descriptive statistics of the literature were computed using Excel software. The publication trends of mHealth research were determined by analyzing the annual number of publications in the literature and annual number of publications categorized based on different countries. Finally, this study used the VOSviewer tool to construct visualization network maps of country/region collaborations and author keyword co-occurrences, and overlay visualization maps of the average publication year of author keywords to analyze the hotspots and research trends in mHealth research. RESULTS In this study, 12,593 mHealth-related research articles published between 2000 and 2020 were collected. The results showed an exponential growth trend in the number of annual publications in mHealth literature. The United States remained the leading contributor to the literature in this area (5,294/12,593, 42%), well ahead of other countries/regions. Other countries/regions also showed a clear trend of annual increases in the number of publications in mHealth literature. Regarding cooperation between countries, the four countries with the largest number of publications, the United States, the United Kingdom, Canada, and Australia, were found to cooperate more closely. The rest of the countries/regions showed a clear geographical pattern of cooperation. The keyword co-occurrence analysis of the top 100 authors formed five clusters, namely: development of mHealth medical technology and its application in various diseases, use of mHealth technology to improve basic public health and health policy, mHealth self-health testing and management in daily life, adolescent use of mHealth, and mHealth in mental health. The research trends revealed a gradual shift in mHealth research from health policy and improving public healthcare to the development and social application of mHealth technologies. CONCLUSIONS To the best of our knowledge, the most current bibliometric analysis dates back to 2016. However, the number of mHealth researches published between 2017 and 2020 exceeds the previous total. Therefore, the results of this study shed light on the latest research hotspots and research trends in mHealth research. These findings provide a useful overview of the development of the field; they may also serve as a valuable reference and provide guidance for other researchers in the field.


2012 ◽  
Vol 34 (4) ◽  
pp. 467-479 ◽  
Author(s):  
Patricia Carvalho Cirillo ◽  
Roberta Benitez Freitas Passos ◽  
Mario Cesar do Nascimento Bevilaqua ◽  
Jose Ramón Rodriguez Arras López ◽  
Antônio Egidio Nardi

2017 ◽  
Vol 20 (6) ◽  
pp. 713-719 ◽  
Author(s):  
Raphael O. Cerqueira ◽  
Benicio N. Frey ◽  
Emilie Leclerc ◽  
Elisa Brietzke

Author(s):  
Divya Prasad ◽  
Bianca Wollenhaupt-Aguiar ◽  
Katrina N. Kidd ◽  
Taiane de Azevedo Cardoso ◽  
Benicio N. Frey

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Zakia Salod ◽  
Yashik Singh

The objective 1 of this study was to investigate trends in breast cancer (BC) prediction using machine learning (ML) publications by analysing country, first author, journal, institutional collaborations and co-occurrence of author keywords. The objective 2 was to provide a review of studies on BC prediction using ML and a blood analysis dataset (Breast Cancer Coimbra Dataset [BCCD]), the objective 3 was to provide a brief review of studies based on BC prediction using ML and patients’ fine needle aspirate cytology data (Wisconsin Breast Cancer Dataset [WBCD]). The design of this study was as follows: for objective 1: bibliometric analysis, data source PubMed (2015-2019); for objective 2: systematic review, data source: Google and Google Scholar (2018-2019); for objective 3: systematic review, data source: Google Scholar (2016-2019). The results showed that the United States of America (USA) produced the highest number of publications (n=803). In total, 2419 first authors contributed towards the publications. Breast Cancer Research and Treatment was the highest ranked journal. Institutional collaborations mainly occurred within the USA. The use of ML for BC screening and detection was the most researched topic. A total of 19 distinct papers were included for objectives 2 and 3. The findings from these studies were never presented to clinicians for validations. In conclusion, the use of ML for BC screening and detection is promising.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Erin E. Cook ◽  
Shoshana M. Rosenberg ◽  
Kathryn J. Ruddy ◽  
William T. Barry ◽  
Mary Greaney ◽  
...  

Abstract Background Young women with breast cancer tend to report lower quality of life and higher levels of stress than older women with breast cancer, and this may have implications for other psychosocial factors including finances. We sought to determine if stress, anxiety, and depression at diagnosis were associated with changes in household income over 12-months in young women with breast cancer in the United States. Methods This study was a prospective, longitudinal cohort study comprised of women enrolled in the Young and Strong trial. Of the 467 women aged 18–45 newly diagnosed with early-stage breast cancer enrolled in the Young and Strong trial from 2012 to 2013, 356 (76%) answered income questions. Change in household income from baseline to 12 months was assessed and women were categorized as having lost, gained, maintained the same household income <$100,000, or maintained household income ≥$100,000. Patient-reported stress, anxiety, and depression were assessed close to diagnosis at trial enrollment. Adjusted multinomial logistic regression models were used to compare women who lost, gained, or maintained household income ≥$100,000 to women who maintained the same household income <$100,000. Results Although most women maintained household income ≥$100,000 (37.1%) or the same household income <$100,000 (32.3%), 15.4% lost household income and 15.2% gained household income. Stress, anxiety, and depression were not associated with gaining or losing household income compared to women maintaining household incomes <$100,000. Women with household incomes <$50,000 had a higher risk of losing household income compared to women with household incomes ≥$50,000. Women who maintained household incomes ≥$100,000 were less likely to report financial or insurance problems. Among women who lost household income, 56% reported financial problems and 20% reported insurance problems at 12 months. Conclusions Baseline stress, anxiety, and depression were not associated with household income changes for young women with breast cancer. However, lower baseline household income was associated with losing household income. Some young survivors encounter financial and insurance problems in the first year after diagnosis, and further support for these women should be considered. Trial registration Clinicaltrials.gov, NCT01647607; date registered: July 23, 2012.


Salud Mental ◽  
2021 ◽  
Vol 44 (3) ◽  
pp. 145-153
Author(s):  
Dannia Islas-Preciado ◽  
Karla Flores-Celis ◽  
Jorge González-Olvera ◽  
Erika Estrada-Camarena

Background. Abuse in early life stages has been proposed as an etiological risk factor for developing menstrually-related mood disorders (MRMDs). Objetive. To evaluate whether there is a relation between the occurrence of physical and/or sexual violence in childhood and/or adolescence and the development of MRMDs in adulthood. Method. A systematic search was conducted in PubMed, Web of Science, and ScienceDirect, with the route (“Premenstrual Syndrome”[Mesh]) OR (“Premenstrual Dysphoric Disorder”[MeSH]) AND (“Violence”[Mesh]) / (“menstrually-related mood disorders” AND “abuse”). Fifty-four articles were initially reviewed and 32 were excluded based on the criteria. Twenty-two articles were thoroughly reviewed. Finally, five articles (publication years 2014, 2013, 2012, 2007, and 2003) were included in the systematic review and submitted to a meta-analysis. Results. Results indicate that having been exposed to physical and/or sexual violence in childhood and/or adolescence increases 1.99 times the risk of experiencing MRMDs in adulthood in comparison with women who did not experience that type of violence (odds ratio [OR] = 1.99; 95% confidence interval [1.58, 2.51]). Discussion and conclusion. The present work provides evidence that a woman who experienced violence through physical and/or sexual abuse during childhood and/or adolescence has a greater risk of developing MRMDs in adulthood.


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