Bibliometric Analysis of Exercise and Neuropathic Pain Research

Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004-2023)

Objective

To examine the focal areas of research in the early diagnosis of stroke through machine learning identification of magnetic resonance imaging characteristics from 2004 to 2023.

Methods

Data were gathered from the Science Citation Index-Expanded (SCI-E) within the Web of Science Core Collection (WoSCC). Utilizing CiteSpace 6.2.R6, a thorough analysis was conducted, encompassing publications, authors, cited authors, countries, institutions, cited journals, references, and keywords. This investigation covered the period from 2004 to 2023, with the data retrieval completed on December 1, 2023, in a single day.

Results

In total, 395 articles were incorporated into the analysis. Prior to 2015, the annual publication count was under 10, but a significant surge in publications was observed post-2015. Institutions and authors from the USA and China have established themselves as mature academic entities on a global scale, forging extensive collaborative networks with other institutions. High-impact journals in this field predominantly feature in top-tier publications, indicating a consensus in the medical community on the application of machine learning for early stroke diagnosis. "deep learning," "magnetic resonance imaging," and "stroke" emerged as the most attention-gathering keywords among researchers. The development in this field is marked by a coexisting pattern of interdisciplinary integration and refinement within major disciplinary branches.

Conclusion

The application of machine learning in the early prediction and personalized medical plans for stroke patients using neuroimaging characteristics offers significant value. The most notable research hotspots currently are the optimal selection of neural imaging markers and the most suitable machine learning algorithm models.

Global research progress and trends in traditional Chinese medicine for chronic kidney disease since the 21st century: a bibliometric analysis

Objective

This study analyzed literature on traditional Chinese medicine (TCM) in treating chronic kidney disease (CKD) to identify research trends and provide guidance for future studies and clinical practice.

Methods

The study used data from Web of Science from 2000 to 2024 to analyze English-language literature on CKD and TCM. Bibliometric analysis was done using R software and the bibliometric package, with scientific mapping and visualization analysis conducted using tools like Citespace, VOSviewer, and ScimagoGraphica to explore research trends and connections.

Results

This study revealed that a total of 1,153 relevant documents were retrieved, and the number of published articles showed an increasing trend, reaching a peak in 2022. In terms of article publication, China ranked first with 760 articles, closely followed by the United States with 132 articles. Guangzhou University of Traditional Chinese Medicine published 60 papers, the most among academic institutions, followed by Shanghai University of Traditional Chinese Medicine with 54 papers. In terms of individual authors, Liu Xinhui holds the record for the highest number of published articles, totaling 17, followed by Li Ping and Li Shunmin. The prevalent keywords include "chronic kidney disease," "TCM," and "oxidative stress." Currently, the prominent areas of research interest include network pharmacology, gut microbiota, oxidative stress, and related topics. The current research trend in this field is towards the adoption of novel methodologies such as network pharmacology and the emphasis on exploring the relationship between gut microbiota and CKD.

Conclusion

Global research on TCM in the treatment of CKD is showing a positive development trend, but further research on safety, efficacy evaluation, and international cooperation is still needed. The development trend is to adopt new scientific research methods and focus on exploring the mechanism of TCM in treating CKD.

Research trends in exercise therapy for the treatment of pain in postmenopausal osteoporosis over the past decade: A bibliometric analysis

BACKGROUND

Postmenopausal osteoporosis (PMOP) is the most common form of primary osteoporosis among women, and the associated pain often drives patients to seek clinical intervention. Numerous studies have highlighted the unique clinical benefits of exercise therapy (ET) in alleviating PMOP-related pain. However, bibliometric analyses examining collaboration, development trends, and research frontiers in the field of ET for PMOP pain remain scarce.

AIM

To explore the research trends in ET for pain treatment in PMOP patients over the past decade.

METHODS

All scholarly works were meticulously sourced from the Science Citation Index-Expanded within the prominent Web of Science Core Collection. Utilizing the capabilities of CiteSpace 6.2.R5, we conducted a thorough analysis of publications, authors, frequently cited scholars, contributing nations, institutions, journals of significant citation, comprehensive references, and pivotal keywords. Additionally, our examination explored keyword cooccurrences, detailed timelines, and periods of heightened citation activity. This comprehensive search, from 2014 through 2023, was completed within a single day, on October 11, 2023.

RESULTS

In total, 2914 articles were ultimately included in the analysis. There was a rapid increase in annual publication output in 2015, followed by stable growth in subsequent years. Boninger, Michael L, is the most prolific author, whereas Ware JE has the most citations. The United States’ global influence is significant, surpassing all other nations. The University of California System and Harvard University are the most influential academic institutions. J Bone Joint Surg Am is the most influential journal in this field. “Spinal cord injury” is the keyword that has garnered the most attention from researchers. The developmental pattern in this field is characterized by interdisciplinary fusion, with different disciplines converging to drive progress.

CONCLUSION

The academic development of the field of ET for pain in PMOP has matured and stabilized. Clinical management and rehabilitation strategies, along with the mechanisms underlying the relationship between ET and bone resorption analgesia, continue to be the current and future focal points of research in this field.

Medical Education and Artificial Intelligence: Web of Science-Based Bibliometric Analysis (2013-2022)

Background

Incremental advancements in artificial intelligence (AI) technology have facilitated its integration into various disciplines. In particular, the infusion of AI into medical education has emerged as a significant trend, with noteworthy research findings. Consequently, a comprehensive review and analysis of the current research landscape of AI in medical education is warranted.

Objective

This study aims to conduct a bibliometric analysis of pertinent papers, spanning the years 2013-2022, using CiteSpace and VOSviewer. The study visually represents the existing research status and trends of AI in medical education.

Methods

Articles related to AI and medical education, published between 2013 and 2022, were systematically searched in the Web of Science core database. Two reviewers scrutinized the initially retrieved papers, based on their titles and abstracts, to eliminate papers unrelated to the topic. The selected papers were then analyzed and visualized for country, institution, author, reference, and keywords using CiteSpace and VOSviewer.

Results

A total of 195 papers pertaining to AI in medical education were identified from 2013 to 2022. The annual publications demonstrated an increasing trend over time. The United States emerged as the most active country in this research arena, and Harvard Medical School and the University of Toronto were the most active institutions. Prolific authors in this field included Vincent Bissonnette, Charlotte Blacketer, Rolando F Del Maestro, Nicole Ledows, Nykan Mirchi, Alexander Winkler-Schwartz, and Recai Yilamaz. The paper with the highest citation was "Medical Students' Attitude Towards Artificial Intelligence: A Multicentre Survey." Keyword analysis revealed that "radiology," "medical physics," "ehealth," "surgery," and "specialty" were the primary focus, whereas "big data" and "management" emerged as research frontiers.

Conclusions

The study underscores the promising potential of AI in medical education research. Current research directions encompass radiology, medical information management, and other aspects. Technological progress is expected to broaden these directions further. There is an urgent need to bolster interregional collaboration and enhance research quality. These findings offer valuable insights for researchers to identify perspectives and guide future research directions.

Traditional Chinese Rehabilitation Exercise (TCRE) for Myofascial Pain: Current Evidence and Further Challenges

Myofascial as a holistic structure emphasizes a holistic approach to intervention and treatment of fascial-related disorders such as neck pain (NP), low back pain (LBP), and knee pain. There are currently adverse effects of medication for diseases related to myofascial. Traditional Chinese rehabilitation exercise (TCRE) is a practical approach to traditional Chinese medicine and is a valuable option for intervening in myofascial-related pain. This article found some research evidence for Baduanjin, Wuqinxi, and Yijinjing in clinical studies of myofascial chain-related pain. The article summarizes the current evidence and finds that TCRE can enhance limb movement function through breathing and slow movements, increase joint movement and flexibility, and reduce joint pathology and stress-induced pain. As for future directions, focus on TCRE in improving the health of older adults and treating long-COVID syndrome, and integrate robotic and TCRE training to frame safe and effective exercise models. Relevant studies have already been registered in the Clinical Trials Registry, and some clinical study protocols have been published. TCRE can be an alternative nonpharmacological rehabilitation therapy to alleviate chronic rheumatic pain symptoms and augment public health management.

Exploring machine learning applications in Meningioma Research (2004-2023)

Objective

This study aims to examine the trends in machine learning application to meningiomas between 2004 and 2023.

Methods

Publication data were extracted from the Science Citation Index Expanded (SCI-E) within the Web of Science Core Collection (WOSCC). Using CiteSpace 6.2.R6, a comprehensive analysis of publications, authors, cited authors, countries, institutions, cited journals, references, and keywords was conducted on December 1, 2023.

Results

The analysis included a total of 342 articles. Prior to 2007, no publications existed in this field, and the number remained modest until 2017. A significant increase occurred in publications from 2018 onwards. The majority of the top 10 authors hailed from Germany and China, with the USA also exerting substantial international influence, particularly in academic institutions. Journals from the IEEE series contributed significantly to the publications. "Deep learning," "brain tumor," and "classification" emerged as the primary keywords of focus among researchers. The developmental pattern in this field primarily involved a combination of interdisciplinary integration and the refinement of major disciplinary branches.

Conclusion

Machine learning has demonstrated significant value in predicting early meningiomas and tailoring treatment plans. Key research focuses involve optimizing detection indicators and selecting superior machine learning algorithms. Future efforts should aim to develop high-performance algorithms to drive further innovation in this field.

The evolving landscape of publishing in the field of pain: An automated bibliometric analysis from 1975 to 2020

BACKGROUND

The aims of this bibliometric analysis were (1) a longitudinal analysis of the publication landscape in the field of pain (1975-2020) and (2) to characterize the overall publication profiles for two selected journals: European Journal of Pain and PAIN® utilizing an automated approach.

METHODS

Database searches in Scopus extracted all journals with 'pain' in their title. For the two specific journals, papers were manually/automatically profiled into preclinical, human and translational studies.

RESULTS

A gross list of 64 journals in the field of pain consisting of both active and ceased journals in Scopus were included in this analysis which identified 62,565 papers with approximately 4000 papers published/year. These papers include 2759 and 9156 papers in Eur. J. Pain and PAIN®, respectively. Currently, there are 24 active 'pain' journals. Authors/paper increase from 2 to 7 indicating a development from mono-disciplinary to multi-disciplinary studies. The overall publication profiles assessing preclinical, human (experimental/clinical) and translational papers in Eur. J. Pain and PAIN® were almost similar (14%, 75% and 10% versus 26%, 63% and 10%). Papers have changed over the years from mono-disciplinary studies (e.g. behavioural studies) to multi-disciplinary studies (e.g. combined behavioural and cell studies). After optimization, the search model matched the manual screening by 100%, 98% and 96% for the preclinical, clinical and healthy volunteer categories.

CONCLUSIONS

Over the last 45 years, more than 60,000 pain-related papers have been published. Papers develop over the years from mono-disciplinary to multi-disciplinary studies. The overall publication profile including preclinical, human (experimental/clinical) and translational papers was almost similar in Eur. J. Pain and PAIN®.

SIGNIFICANCE

The bibliometric analysis of a pain journal provides information on which specific areas of research are published, how this may have changed over the years and how a journal is positioned compared with other journals in the field.

Exercise Therapy Research in Ankylosing Spondylitis-Induced Back Pain: A Bibliometric Study (2004-2023)

BACKGROUND Ankylosing spondylitis (AS), a chronic inflammatory disease predominantly causing back pain, affects up to 0.5% of the global population, more commonly in males. Frequently undiagnosed in early stages, AS is often associated with comorbid depression and anxiety, imposing significant healthcare burdens. Despite available pharmaceutical treatments, exercise therapy (ET) has emerged as an effective, side-effect-free alternative, particularly for managing AS-induced back pain. This study aims to explore the research trends in ET for treating AS back pain from 2004-2023. MATERIAL AND METHODS A comprehensive analysis of 437 articles, sourced from the Science Citation Index-Expanded within the Web of Science Core Collection, was conducted using CiteSpace 6.2.R5. This study spanned from 2004 to October 15, 2023, examining publications, authors, institutions, and keywords to assess keyword co-occurrences, temporal progressions, and citation bursts. RESULTS Research interest in ET for AS began escalating around 2008 and has since shown steady growth. The USA emerged as a significant contributor, with Van der Heijde, Desiree, and RUDWALEIT M being notable authors. Key institutions include Assistance Publique Hopitaux Paris and UDICE-French Research Universities, with ANN RHEUM DIS being the most influential journal. The field's evolution is marked by interdisciplinary integration and branching into various sub-disciplines. CONCLUSIONS Exercise therapy for AS-induced back pain is a growing research area, necessitating further exploration in clinical management and rehabilitation strategies. The relationship between ET and osteoimmunological mechanisms remains a focal point for future research, with a trend towards personalized and interdisciplinary treatment approaches.

Therapeutic management of the painful nerve: a narrative review of common rehabilitation interventions

There are many ways that rehabilitation therapists, including occupational and physical therapists, treat nerve-related pain. Commonly used interventions include neurodynamic treatment, pain neuroscience education, desensitization, exercise, physical agent modalities, mirror box therapy, and Kinesio taping. Despite common practice and anecdotal support, it can be challenging to determine the appropriate intervention for each patient. In this article, each of these treatment approaches is discussed, including indicated pain phenotypes and diagnoses, timing, efficacy, mechanism, contraindications, and limitations.

Aerobic Exercise and Neuropathic Pain: Insights from Animal Models and Implications for Human Therapy

This narrative review explores the complex relationship between aerobic exercise (AE) and neuropathic pain (NP), particularly focusing on peripheral neuropathies of mechanical origin. Pain, a multifaceted phenomenon, significantly impacts functionality and distress. The International Association for the Study of Pain's definition highlights pain's biopsychosocial nature, emphasizing the importance of patient articulation. Neuropathic pain, arising from various underlying processes, presents unique challenges in diagnosis and treatment. Our methodology involved a comprehensive literature search in the PubMed and SCOPUS databases, focusing on studies relating AE to NP, specifically in peripheral neuropathies caused by mechanical forces. The search yielded 28 articles and 1 book, primarily animal model studies, providing insights into the efficacy of AE in NP management. Results from animal models demonstrate that AE, particularly in forms like no-incline treadmill and swimming, effectively reduces mechanical allodynia and thermal hypersensitivity associated with NP. AE influences neurophysiological mechanisms underlying NP, modulating neurotrophins, cytokines, and glial cell activity. These findings suggest AE's potential in attenuating neurophysiological alterations in NP. However, human model studies are scarce, limiting the direct extrapolation of these findings to human neuropathic conditions. The few available studies indicate AE's potential benefits in peripheral NP, but a lack of specificity in these studies necessitates further research. In conclusion, while animal models show promising results regarding AE's role in mitigating NP symptoms and influencing underlying neurophysiological mechanisms, more human-centric research is required. This review underscores the need for targeted clinical trials to fully understand and harness AE's therapeutic potential in human neuropathic pain, especially of mechanical origin.

Trends in Brain Research: A Bibliometric Analysis

BACKGROUND

Bibliometrics methods have allowed researchers to assess the popularity of brain research through the ever-growing number of brain-related research papers. While many topics of brain research have been covered by previous studies, there is no comprehensive overview of the evolution of brain research and its various specialties and funding practices over a long period of time.

OBJECTIVE

This paper aims to (1) determine how brain research has evolved over time in terms of number of papers, (2) countries' relative and absolute positioning in terms of papers and impact, and (3) how those various trends vary by area.

METHODS

Using a list of validated keywords, we extracted brain-related articles and journals indexed in the Web of Science over the 1991-2020 period, for a total of 2,467,708 papers. We used three indicators to perform: number of papers, specialization, and research impact.

RESULTS

Our results show that over the past 30 years, the number of brain-related papers has grown at a faster pace than science in general, with China being at the forefront of this growth. Different patterns of specialization among countries and funders were also underlined. Finally, the NIH, the European Commission, the National Natural Science Foundation of China, the UK Medical Research Council, and the German Research Foundation were found to be among the top funders.

CONCLUSION

Despite data-related limitations, our findings provide a large-scope snapshot of the evolution of brain research and its funding, which may be used as a baseline for future studies on these topics.

Bibliometric and visual analysis of microglia-related neuropathic pain from 2000 to 2021

Background

Microglia has gradually gained researchers' attention in the past few decades and has shown its promising prospect in treating neuropathic pain. Our study was performed to comprehensively evaluate microglia-related neuropathic pain via a bibliometric approach.

Methods

We retrospectively reviewed publications focusing on microglia-related neuropathic pain from 2000 to 2021 in WoSCC. VOS viewer software and CiteSpace software were used for statistical analyses.

Results

A total of 2,609 articles were finally included. A steady increase in the number of relevant publications was observed in the past two decades. China is the most productive country, while the United States shares the most-cited and highest H-index country. The University of London, Kyushu University, and the University of California are the top 3 institutions with the highest number of publications. Molecular pain and Pain are the most productive and co-cited journals, respectively. Inoue K (Kyushu University) is the most-contributed researcher and Ji RR (Duke University) ranks 1st in both average citations per article and H-index. Keywords analyses revealed that pro-inflammatory cytokines shared the highest burst strength. Sex differences, neuroinflammation, and oxidative stress are the emerging keywords in recent years.

Conclusion

In the field of microglia-related neuropathic pain, China is the largest producer and the United States is the most influential country. The signaling communication between microglia and neurons has continued to be vital in this field. Sexual dimorphism, neuroinflammation, and stem-cell therapies might be emerging trends that should be closely monitored.

Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls

During the last decades, the emergence of Bibliometrics and the progress in Pain research have led to a proliferation of bibliometric studies on the medical and scientific literature of pain (B/P). This study charts the evolution of the B/P literature published during the last 30 years. Using various searching techniques, 189 B/P studies published from 1993 to August 2022 were collected for analysis-half were published since 2018. Most of the selected B/P publications use classic bibliometric analysis of Pain in toto, while some focus on specific types of Pain with Headache/Migraine, Low Back Pain, Chronic Pain, and Cancer Pain dominating. Each study is characterized by the origin (geographical, economical, institutional, …) and the medical/scientific context over a specified time span to provide a detailed landscape of the Pain research literature. Some B/P studies have been developed to pinpoint difficulties in appropriately identifying the Pain literature or to highlight some general publishing pitfalls. Having observed that most of the recent B/P studies have integrated newly emergent software visualization tools (SVTs), we found an increase of anomalies and suggest that readers exercise caution when interpreting results in the B/P literature details.

The Last Decade Publications on Diabetic Peripheral Neuropathic Pain: A Bibliometric Analysis

Background

Diabetic peripheral neuropathic pain (DPNP) is a usual complication of diabetes with a high incidence and mortality. Many diabetes-related studies have been published in various journals. However, bibliometrics and visual analyses in the domain of DPNP research are still lacking. The study aimed to offer a visual method to observe the systematic overview of global research in this field from 2011 to 2021.

Methods

The publications from the Science Citation Index Expanded in Web of Science (WOS) in the past 11 years (from 2011 to 2021) were collected and sorted out, and those related to DPNP were extracted and analyzed. The article language was limited in English. Then, CiteSpace V was used for the bibliometric analysis of the extracted literature.

Results

A total of 1,422 articles met the inclusion criteria. A continuous but unstable growth in the amounts of papers published on DPNP was observed over the last 11 years. The subject sort of the 1,422 papers mainly concentrates on Endocrinology Metabolism, Clinical neurology and Neurosciences from the WOS. According to the research contribution in the field of DPNP, the United States occupies a leading position, with the highest amounts of publications, citations, open access, and the H- index.

Conclusion

This study provides a visual analysis method for the trend of DPNP, and offers some hidden serviceable information that may define new directions for future research.

Top 100 Most-Cited Papers in Neuropathic Pain From 2000 to 2020: A Bibliometric Study

Background: Neuropathic pain research has grown impressively in the past two decades, as evidenced by improvements in research quality and increments in the number of research papers. In views of this situation, the use of quantitative measurements to analyze and characterize existing research has become imperative. The aim of this research is to identify and analyze the 100 most-cited papers in neuropathic pain research.

Methods: Neuropathic pain-related articles published between 2000 and 2020 were screened from Web of Science (WOS) by using the following subject terms: TI = (Neuralgia$ OR Neurodynia$ OR “Neuropathic pain” OR sciatica OR “Nerve pain$”). The publications were ranked in a descending order on the basis of citation counts, and the top 100 most-cited neuropathic pain papers were determined. Subsequently, we conducted a bibliometric study to determine the authors, journals, countries, and institutions that contributed the most to the top 100 neuropathic pain lists; describe the keywords and hotspots of the top 100 most-cited papers; and explore the factors associated with successful citations.

Results: The top 100 most-cited papers were published from 2000 to 2017, and 2003 had the largest number of published papers (n = 16). The mean number of citations per paper was 480.72, with a range of 262–1,569. Forty-four kinds of journals contributed to the top 100 most-cited papers, which were predominantly published in “Pain” (n = 23). The USA was determined to be the leader of neuropathic pain research in terms of quality and quantity.

Conclusion: This study provides a comprehensive list of the most influential papers on neuropathic pain and demonstrates the important advances in this field to help understand academic concerns and the directions of technological innovations in neuropathic pain worldwide.

Bibliometric Analysis of Studies on Neuropathic Pain Associated With Depression or Anxiety Published From 2000 to 2020

Objective: Neuropathic pain (NP) associated with depression or anxiety is highly prevalent in clinical practice. Publications about NP associated with depression or anxiety increased exponentially from 2000 to 2020. However, studies that applied the bibliometric method in analyzing global scientific research about NP associated with depression or anxiety are rare. This work used the bibliometric method to analyze the publications on NP associated with depression or anxiety between 2000 and 2020. Method: Publications from 2000 and 2020 were identified from the Thomson Reuters Web of Science (WoS) database. We employed CiteSpace V to conduct the bibliometric study. Results: A total of 915 articles or reviews were obtained from the WoS database. The number of publications has increased over the last two decades. The USA was the most productive among countries or regions in the field. According to the burst key words, neuroinflammation, hippocampus, safety, and modulation were the hot global research issues in the domain. Conclusion: Publications about NP associated with depression or anxiety have remarkably increased from 2000 to 2020. These historical opinions about NP associated with depression or anxiety could be an important practical basis for further research into potential development trends.

Bibliometric Study of Pain after Spinal Cord Injury

Background

The prevalence of comorbid pain after spinal cord injury (SCI) is relatively high in clinical observations and has continued to increase over time. Neuropathic pain (70.14%) is the most popular subject in academic journals after SCI. However, studies that used the bibliometric method to analyze comorbid pain after SCI are still lacking. This study is aimed at combining and integrating acquired information to analyze the global trends of research on the comorbidity of pain after SCI in the last three decades (1990–2019).

Methods

Systematic works of literature published from 1990 to 2019 were obtained from the Web of Science Core Collection. CiteSpace software was used to analyze the relationship of publication year with the country, institution, journals, authors, references, and keywords. The regression analysis is used to evaluate the percentage of the category increase or decrease over time significantly. IBM SPSS Statistics was used in the statistical analysis.

Results

A total of 730 publications were included in the analysis. A remarkable increase in the number of publications was observed in the study period (P < 0.05). A total of 202 academic journals focused on the categories of clinical neurology, neurosciences, and rehabilitation, and the annual growth rate of articles in these three categories was statistically significant (P < 0.05). The USA (356, 48.77%) and the University of Miami (64, 8.77%) were the country and institution with the highest number of publications, respectively. Spinal Cord, which was the main journal for research on pain after SCI, had the most publications (88, 12.05%). Burst keywords showed that the individual, inflammation, and central sensitization with pain after SCI are the research development trends and focus in this research field.

Conclusions

Overall, this study provides the latest research direction for pain after SCI. This historical overview of research into pain after SCI will be a useful basis for further research into development trends, focus issues, cooperators, and cooperative institutions.

Differences in personality, perceived stress and physical activity in women with burning mouth syndrome compared to controls

OBJECTIVES

Burning mouth syndrome (BMS) is a long-lasting pain condition which is commonly associated with anxiety symptoms and experience of adverse, stressful life events have been reported by those diagnosed with the syndrome. Stress-related biomarkers have been related to personality traits in BMS and a personality with high stress susceptibility and perceived stress may be of importance. Although biopsychosocial approaches are suggested to manage long-lasting orofacial pain, to date little is known about physical activity in women with BMS. The aim of this study was to investigate if personality, perceived stress and physical activity distinguish women with BMS from controls.

METHODS

Fifty-six women with BMS and 56 controls matched on age and gender completed Swedish universities Scales of Personality (SSP), Perceived Stress Questionnaire (PSQ) and a general questionnaire with an item on weekly physical activity frequency. In addition, health-related quality of life was explored by additional questionnaires and reported in a companion article (Jedel et al. Scand J Pain. 2020. PubMed PMID: 32853174).

RESULTS

SSP subscales Somatic Trait Anxiety, Psychic Trait Anxiety, Stress Susceptibility and Verbal Trait Aggression differed between women with BMS and controls and the personality factor scores for Neuroticism and Aggressiveness were higher. Perceived stress measured by PSQ index was higher for women with BMS compared to controls. Women with BMS reported lower physical activity frequency compared to controls and those reporting physical activity <4 days/week scored higher on PSQ compared to those with weekly physical activity ≥4 days/week.

CONCLUSIONS

Personality distinguished women with BMS from controls in this study. Perceived stress was higher and weekly physical activity was lower in women with BMS compared to controls. Our findings suggest physical activity should be more comprehensively measured in future BMS studies and, by extension, physical activity may be a treatment option for women with BMS. Pain management aiming to restore function and mobility with stress reduction should be considered in clinical decision making for women with BMS who have a personality with stress susceptibility, especially if reporting high perceived stress and insufficient physical activity.

Open Innovation in Medical and Pharmaceutical Research: A Literature Landscape Analysis

Open innovation in medical and pharmaceutical research has grown steadily over the last decade. However, the performance of the published literature in terms of the scientific impact and gaining social media attention remains largely unexplored. The scientific literature of open innovation was examined by means of bibliometric analyses to identify the most prolific authors, organizations, countries, journals, research areas, and recurring terms. By accessing the Web of Science Core Collection and Altmetric electronic databases, citation-related and Altmetric data were evaluated. Public-private partnerships and a selection of newly introduced potential novel drugs in the analyzed publications were identified. North America and Europe were the major literature contributors. Research outputs were mainly published in journals focused on business and economics, pharmacology and pharmacy, and engineering. Many pharmaceutical and biotechnological companies contributed to the analyzed publications, with higher mean citation counts and social media attention (Altmetric score) than nonindustry articles. Public-private partnerships fostered financial support, sharing of expertise and intellectual property, and research collaborations. In summary, open innovation might serve as a powerful strategy to both benefit the involved industry entities and accelerate the development of solutions and products for the betterment of human health.

Primary Brain Tumor Research Productivity in Southeast Asia and Its Association With Socioeconomic Determinants and Burden of Disease

Background

There is an unmet need to assess research productivity from southeast Asia (SEA) regarding primary central nervous system (CNS) tumors. The country’s economy, landscape of neurology practice, and disease burden are hypothesized to correlate with scientific output. This study aimed to objectively measure the impact of published studies on primary brain tumors in SEA and to assess for correlation with socioeconomic determinants and burden of disease.

Methods

We systematically searched electronic databases for relevant articles from SEA on primary CNS tumor until July 31, 2020. Bibliometric indices were reported and subjected to correlational analysis with population size, gross domestic product (GDP) per capita, percentage (%) GDP for research and development (R&D), total number of neurologists, disease incidence, deaths, and disability-adjusted life years.

Results

A total of 549 articles were included, consisting primarily of case reports (n=187, 34.06%) and discussed gliomas (n=195, 35.52%). Singapore published the most number of the articles (n=246, 44.8%). Statistical analysis showed a positive correlation between %GDP for R&D and total publication. Additionally, negative relationships were noted between burden of disease and total neurologist with most bibliometric indices. However, GDP per capita was not correlated with measures for research productivity.

Conclusion

The low impact of scientific output on primary CNS tumors in SEA does not address the growing epidemiology and burden of this disease. An increase in the GDP growth and financial and manpower investment to R&D may significantly improve research productivity in SEA.