El valor de p del test no es un ‘índice matemático’, es simplemente una frecuencia relativa / The p-value of the test is not a ‘mathematical index’, it is simply a relative frequency

Las revistas científicas más importantes en campos como medicina, biología y sociología publican reiteradamente artículos y editoriales denunciando que un gran porcentaje de médicos no entiende los conceptos básicos del análisis estadístico, lo que favorece el riesgo de cometer errores al interpretar los datos, los hace más vulnerables frente a informaciones falsas y reduce la eficacia de la investigación. Este problema se extiende a lo largo de toda su carrera profesional y se debe, en gran parte, a una enseñanza deficiente en estadística que es común en países desarrollados. En palabras de H. Halle y S. Krauss, ‘el 90% de los profesores universitarios alemanes que usan con asiduidad el valor de p de los test no entiende lo que mide ese valor’. Es importante destacar que los razonamientos básicos del análisis estadístico son similares a los que realizamos en nuestra vida cotidiana y que comprender los conceptos básicos del análisis estadístico no requiere conocimiento matemático alguno. En contra de lo que muchos investigadores creen, el valor de p del test no es un ‘índice matemático’ que nos permita concluir claramente si, por ejemplo, un fármaco es más efectivo que el placebo. El valor de p del test es simplemente un porcentaje.(AU)

Abstract. Leading scientific journals in fields such as medicine, biology and sociology repeatedly publish articles and editorials claiming that a large percentage of doctors do not understand the basics of statistical analysis, which increases the risk of errors in interpreting data, makes them more vulnerable to misinformation and reduces the effectiveness of research. This problem extends throughout their careers and is largely due to the poor training they receive in statistics – a problem that is common in developed countries. As stated by H. Halle and S. Krauss, ‘90% of German university lecturers who regularly use the p-value in tests do not understand what that value actually measures’. It is important to note that the basic reasoning of statistical analysis is similar to what we do in our daily lives and that understanding the basic concepts of statistical analysis does not require any knowledge of mathematics. Contrary to what many researchers believe, the p-value of the test is not a ‘mathematical index’ that allows us to clearly conclude whether, for example, a drug is more effective than a placebo. The p-value of the test is simply a percentage.(AU)

Research trends on acupuncture for neuropathic pain: A bibliometric analysis from 1979 to 2023.

BACKGROUND: Acupuncture has drawn increasing attention as a complementary and alternative therapy for neuropathic pain (NP). The present study aimed to summarize the current status and research trends on acupuncture for NP over the past several decades. METHODS: The publications on acupuncture for NP in the database of Web of Science Core Collection from 1979 to 2023 were searched. VOSviewer (1.6.15) and CiteSpace software (5.5.R2) were applied to identify active authors, journals, countries and institutions, co-cited references and hot keywords. RESULTS: A total of 642 publications were finally included, and the quantitative trend of annual publications on acupuncture for NP have shown overall upward from 1979 to 2023. Peoples R China was the most productive and influential country, while Kyung Hee University from South Korea was both the first in publications and citations. Fang JQ ranked the first productive author and Han JS was the first 1 among the co-cited authors. The first productive journal was Evidence-based Complementary and Alternative Medicine, while the first co-cited journal was Pain. The high-frequency keywords were divided into 9 clusters, and the frontier topic focused on "Chronic pain". CONCLUSION: This present study visually showed the research status and trends of acupuncture for NP from 1979 to 2023 on the basis of bibliometric analysis, which may in some way help researcher discovery and explore some new research directions and ideas in the future.

The evolution of Pemphigus publications: A bibliometric analysis with research trends and global productivity.

Despite an increase in global research on the subject of Pemphigus, which seriously affects patient health and quality of life, there is no bibliometric research on this subject in literature to date. The aim of this study was to conduct a holistic analysis of scientific articles published on Pemphigus, using bibliometric methods. Articles published on the subject of Pemphigus between 1980 and 2021 were downloaded from the web of science (WoS) database and analyzed using various statistical methods. To determine trend subjects, collaboration between countries, and the most effective studies with citation analyses, visual network maps were obtained with bibliometric analyses. A total of 3034 articles were analyzed. The 3 countries making the greatest contribution to literature were the USA (n:831, 27.3%), Japan (n:402, 13.2%), and Germany (n:221, 7.2%). The 3 most active institutions were Keio University (n:163, 5.3%), Kurume University (n:130, 4.2%) and Tel Aviv University (n:107, 3.5%). The 3 journals publishing the most articles were the British Journal of Dermatology (n: 88), Journal of the American Academy of Dermatology (n:171) and the Journal of Investigative Dermatology (n:143). The 3 leading journals according to the mean number of citations (NC) per article (citation count: CC) were the New England Journal of Medicine (CC:246), the Lancet (CC:143) and the Journal of Cell Biology (CC:133). The author with the most articles published was Hashimoto Takashi (n.168, 5.5%). As a result of cluster analysis, it was seen that 9 different main clusters had been studied on Pemphigus subjects to date (1: desmoglein, 2: paraneoplastic Pemphigus (PNP) - Pemphigus types-desmosome, 3: desmoglein 1 ve 3-autoimmunity, 4: treatment-rituximab, 5: acantholysis-apoptosis, 6: quality of life-remission-relapse, 7: autoantibodies, 8: epidemiology-mortality, 9: corticosteroids). The most commonly studied subjects were determined to be pemphigus vulgaris (PV), pemphigus foliaceus (PF), autoimmunity, rituximab, PNP, desmoglein (desmoglein3-desmoglein1), autoantibodies, acantholysis, autoantibody, treatment, autoimmune disease, desmosome, ELISA, and immunofluorescence. The primary trending topic was rituximab drug, which is used in the treatment of Pemphigus. The other most studied trend topics were azathioprine drug used in treatment, intravenous immunoglobulin treatment, quality of life, mortality rates, Pemphigus herpetiformis, and wound healing.

White House overhauls rules for risky pathogen research.

New policy governs gain-of-function and "dual-use" studies.

ResearchConnect.info: An Interactive Web-Based Platform for Building Academic Collaborations.

RATIONALE AND OBJECTIVES: Radiology is a rapidly evolving field that benefits from continuous innovation and research participation among trainees. Traditional methods for involving residents in research are often inefficient and limited, usually due to the absence of a standardized approach to identifying available research projects. A centralized online platform can enhance networking and offer equal opportunities for all residents. MATERIALS AND METHODS: Research Connect is an online platform built with PHP, SQL, and JavaScript. Features include project and collaboration listing as well as advertisement of project openings to medical/undergraduate students, residents, and fellows. The automated system maintains project data and sends notifications for new research opportunities when they meet user preference criteria. Both pre- and post-launch surveys were used to assess the platform's efficacy. RESULTS: Before the introduction of Research Connect, 69% of respondents used informal conversations as their primary method of discovering research opportunities. One year after its launch, Research Connect had 141 active users, comprising 63 residents and 41 faculty members, along with 85 projects encompassing various radiology subspecialties. The platform received a median satisfaction rating of 4 on a 1-5 scale, with 54% of users successfully locating projects of interest through the platform. CONCLUSION: Research Connect addresses the need for a standardized method and centralized platform with active research projects and is designed for scalability. Feedback suggests it has increased the visibility and accessibility of radiology research, promoting greater trainee involvement and academic collaboration.

The National MD-PhD Program Outcomes Study: career paths followed by Black and Hispanic graduates.

Previous studies on attrition from MD-PhD programs have shown that students who self-identify as Black are more likely to withdraw before graduating than Hispanic students and students not from groups underrepresented in medicine (non-UIM). Here, we analyzed data collected for the National MD-PhD Program Outcomes Study, a national effort to track the careers of over 10,000 individuals who have graduated from MD-PhD programs over the past 60 years. On average, Black trainees took slightly longer to graduate, were less likely to choose careers in academia, and were more likely to enter nonacademic clinical practice; although, none of these differences were large. Black graduates were also more likely to choose careers in surgery or internal medicine, or entirely forego residency, and less likely to choose pediatrics, pathology, or neurology. Among those in academia, average research effort rates self-reported by Black, Hispanic, and non-UIM alumni were indistinguishable, as were rates of obtaining research grants and mentored training awards. However, the proportion of Black and Hispanic alumni who reported having NIH research grants was lower than that of non-UIM alumni, and the NIH career development to research project grant (K-to-R) conversion rate was lower for Black alumni. We propose that the reasons for these differences reflect experiences before, during, and after training and, therefore, conclude with action items that address each of these stages.

Prompt engineering: The next big skill in rheumatology research.

Large language models (LLMs) like GPT-4 and Claude are catalyzing transformation across medical research including rheumatology. This review examines their applications, highlighting the pivotal role of prompt engineering in effectively guiding LLMs. Key aspects explored include literature synthesis, data analysis, manuscript drafting, coding assistance, privacy considerations, and generative artificial intelligence integrations. While LLMs accelerate workflows, reliance without apt prompting jeopardizes accuracy. By methodically constructing prompts and gauging model outputs, researchers can maximize relevance and utility. Locally run open-source models also offer data privacy protections. As LLMs permeate rheumatology research, developing expertise in strategic prompting and assessing model limitations is critical. With proper oversight, LLMs markedly boost scholarly productivity.

Registrars' experience with research in family medicine training programmes in South Africa.

BACKGROUND:  Completion of a research assignment is a requirement for specialist training in South Africa. Difficulty with completion delays graduation and the supply of family physicians. The aim of this study was to explore the experience of registrars with their research in postgraduate family medicine training programmes. METHODS:  An explorative descriptive qualitative study. Extreme case purposive sampling selected registrars who had and had not completed their research on time, from all nine training programmes. Saturation was achieved after 12 semi-structured interviews. The framework method was used for data analysis, assisted by ATLAS.ti software. RESULTS:  The assumption of prior learning by teachers and supervisors contributed to a sense of being overwhelmed and stressed. Teaching modules should be more standardised and focussed on the practical tasks and skills, rather than didactic theory. Lengthy provincial and ethics processes, and lack of institutional support, such as scholarly services and financial support, caused delays. The expertise of the supervisor was important, and the registrar-supervisor relationship should be constructive, collaborative and responsive. The individual research experience was dependent on choosing a feasible project and having dedicated time. The balancing of personal, professional and academic responsibilities was challenging. CONCLUSION:  Training programmes should revise the teaching of research and improve institutional processes. Supervisors need to become more responsive, with adequate expertise. Provincial support is needed for streamlined approval and dedicated research time.Contribution: The study highlights ways in which teaching, and completion of research can be improved, to increase the supply of family physicians to the country.

Measurement and analysis of change in research scholars' knowledge and attitudes toward statistics after PhD coursework.

BACKGROUND: Knowledge of statistics is highly important for research scholars, as they are expected to submit a thesis based on original research as part of a PhD program. As statistics play a major role in the analysis and interpretation of scientific data, intensive training at the beginning of a PhD programme is essential. PhD coursework is mandatory in universities and higher education institutes in India. This study aimed to compare the scores of knowledge in statistics and attitudes towards statistics among the research scholars of an institute of medical higher education in South India at different time points of their PhD (i.e., before, soon after and 2-3 years after the coursework) to determine whether intensive training programs such as PhD coursework can change their knowledge or attitudes toward statistics. METHODS: One hundred and thirty research scholars who had completed PhD coursework in the last three years were invited by e-mail to be part of the study. Knowledge and attitudes toward statistics before and soon after the coursework were already assessed as part of the coursework module. Knowledge and attitudes towards statistics 2-3 years after the coursework were assessed using Google forms. Participation was voluntary, and informed consent was also sought. RESULTS: Knowledge and attitude scores improved significantly subsequent to the coursework (i.e., soon after, percentage of change: 77%, 43% respectively). However, there was significant reduction in knowledge and attitude scores 2-3 years after coursework compared to the scores soon after coursework; knowledge and attitude scores have decreased by 10%, 37% respectively. CONCLUSION: The study concluded that the coursework program was beneficial for improving research scholars' knowledge and attitudes toward statistics. A refresher program 2-3 years after the coursework would greatly benefit the research scholars. Statistics educators must be empathetic to understanding scholars' anxiety and attitudes toward statistics and its influence on learning outcomes.

Scientific approach, attitudes, and perspectives on research among Swedish physiotherapy students-a cross-sectional study.

BACKGROUND: Scientific evidence is important to evidence-based practice. Hence, the application of evidence-based practice requires relevant skills and an understanding of science, which therefore need to be learned and trained during the undergraduate program in physiotherapy. The aim of this study was to investigate attitudes, perceived competence, and conditions for a scientific approach among physiotherapy students in Sweden, and to compare attitudes and perceived competence between students in different program years. METHODS: Physiotherapy students from six universities (n = 1499) were invited to respond to a digital survey. The survey contained questions regarding attitudes toward science, perceived competence in research interpretations and open comments regarding requirements for a strengthened scientific approach during education. Comparisons between education years were performed with ANOVA/Kruskal‒Wallis test (scale outcomes) and logistic regression (binary outcomes). RESULTS: A total of 466 students responded to the survey. In total, 57% (n = 266) of the students had a high interest in science. No significant difference in interest in science was found between students in the three program years, but 75% (n = 347) reported increased interest during the program. A perceived high ability to understand the structure and performance of scientific studies was reported by 31% (n = 144), to evaluate the methodology by 16% (n = 72) and to interpret statistical results from scientific studies by 12% (n = 55). The lowest perceived competence was reported among students in their second year (p < 0.05). A majority of the students (88%; n = 410) reported a perceived personal need for strengthened conditions for a scientific approach, with suggested prerequisites during education via increased theoretical and applied understanding of the research. CONCLUSION: Even though this study does not fully cover physiotherapy students at all undergraduate programmes in Sweden, the results support that a scientific approach and training should be strengthened during education to enable physiotherapists to understand and interpret science and to fully apply an evidence-based approach in upcoming clinical practice. Both theoretical and applied knowledge and understanding are needed.

Workflow for detecting biomedical articles with underlying open and restricted-access datasets.

To monitor the sharing of research data through repositories is increasingly of interest to institutions and funders, as well as from a meta-research perspective. Automated screening tools exist, but they are based on either narrow or vague definitions of open data. Where manual validation has been performed, it was based on a small article sample. At our biomedical research institution, we developed detailed criteria for such a screening, as well as a workflow which combines an automated and a manual step, and considers both fully open and restricted-access data. We use the results for an internal incentivization scheme, as well as for a monitoring in a dashboard. Here, we describe in detail our screening procedure and its validation, based on automated screening of 11035 biomedical research articles, of which 1381 articles with potential data sharing were subsequently screened manually. The screening results were highly reliable, as witnessed by inter-rater reliability values of ≥0.8 (Krippendorff's alpha) in two different validation samples. We also report the results of the screening, both for our institution and an independent sample from a meta-research study. In the largest of the three samples, the 2021 institutional sample, underlying data had been openly shared for 7.8% of research articles. For an additional 1.0% of articles, restricted-access data had been shared, resulting in 8.3% of articles overall having open and/or restricted-access data. The extraction workflow is then discussed with regard to its applicability in different contexts, limitations, possible variations, and future developments. In summary, we present a comprehensive, validated, semi-automated workflow for the detection of shared research data underlying biomedical article publications.

Global research progress of gut microbiota and epigenetics: bibliometrics and visualized analysis.

Background: Gut microbiota is an important factor affecting host health. With the further study of the mechanism of gut microbiota, significant progress has been made in the study of the link between gut microbiota and epigenetics. This study visualizes the body of knowledge and research priorities between the gut microbiota and epigenetics through bibliometrics. Methods: Publications related to gut microbiota and epigenetics were searched in the Web of Science Core Collection (WoSCC) database. Vosviewer 1.6.17 and CiteSpace 6.1.R2 were used for bibliometric analysis. Results: WoSCC includes 460 articles from 71 countries. The number of publications on gut microbiota and epigenetics has increased each year since 2011. The USA, PEOPLES R CHINA, and ITALY are at the center of this field of research. The University of California System, Harvard University, and the University of London are the main research institutions. Li, X, Yu, Q, Zhang, S X are the top authors in this research field. We found that current research hotspots and frontiers include short-chain fatty acids (SCFA) play an important role in gut microbiota and epigenetic mechanisms, gut microbiota and epigenetics play an important role in host obesity, diet, and metabolism. Gut microbiota and epigenetics are closely related to colorectal cancer, breast cancer, and inflammatory bowel disease. At the same time, we found that gut microbiota regulates epigenetics through the gut-brain axis and has an impact on psychiatric diseases. Therefore, probiotics can regulate gut microbiota, improve lifestyle, and reduce the occurrence and development of diseases. Conclusion: This is the first comprehensive and in-depth bibliometric study of trends and developments in the field of gut microbiota and epigenetics research. This study helps to guide the direction of research scholars in their current field of study.

Critical Illness Outside the Intensive Care Unit: Research Challenges in Emergency and Prehospital Settings.

Patients with acute critical illness require prompt interventions, yet high-quality evidence supporting many investigations and treatments is lacking. Clinical research in this setting is challenging due to the need for immediate treatment and the inability of patients to provide informed consent. Attempts to obtain consent from surrogate decision-makers can be intrusive and lead to unacceptable delays to treatment. These problems may be overcome by pragmatic approaches to study design and the use of supervised waivers of consent, which is ethical and appropriate in situations where there is high risk of poor outcome and a paucity of proven effective treatment.

Poxviruses as Agents of Biological Warfare: The Importance of Ensuring Ethical Standards for Research with Viruses.

Historically, biological agents have been used to target various populations. One of the earliest examples could be the catastrophic effect of smallpox in Australia in the eighteenth century (as alleged by some historians). Modern biological techniques can be used to both create or provide protection against various agents of biological warfare. Any microorganism (viruses, bacteria, and fungi) or its toxins can be used as biological agents. Minnesota Department of Health has listed Smallpox (variola major) as a category A bioterrorism agent, even though it has been eradicated in 1980 through an extensive vaccination campaign. Category A agents are considered the highest risk to public health. Laboratory-associated outbreaks of poxviruses could cause unprecedented occupational hazards. Only two WHO-approved BSL-4 facilities in the United States and Russia are allowed to perform research on the variola virus. So, poxviruses present themselves as a classical case of a dual-use dilemma, since research with them can be used for both beneficial and harmful purposes. Although the importance of ethics in scientific research requires no further elaboration, ethical norms assume greater significance during experimentation with poxviruses. In this chapter, we will update the readers on the sensitive nature of conducting research with poxviruses, and how these viruses can be a source of potential biological weapons. Finally, specified ethical guidelines are explored to ensure safe research practices in virology.

The HABD: Home of All Biological Databases Empowering Biological Research With Cutting-Edge Database Systems.

The emergence of computer technologies and computing power has led to the development of several database systems that provide standardized access to vast quantities of data, making it possible to collect, search, index, evaluate, and extract useful knowledge across various fields. The Home of All Biological Databases (HABD) has been established as a continually expanding platform that aims to store, organize, and distribute biological data in a searchable manner, removing all dead and non-accessible data. The platform meticulously categorizes data into various categories, such as COVID-19 Pandemic Database (CO-19PDB), Database relevant to Human Research (DBHR), Cancer Research Database (CRDB), Latest Database of Protein Research (LDBPR), Fungi Databases Collection (FDBC), and many other databases that are categorized based on biological phenomena. It currently provides a total of 22 databases, including 6 published, 5 submitted, and the remaining in various stages of development. These databases encompass a range of areas, including phytochemical-specific and plastic biodegradation databases. HABD is equipped with search engine optimization (SEO) analyzer and Neil Patel tools, which ensure excellent SEO and high-speed value. With timely updates, HABD aims to facilitate the processing and visualization of data for scientists, providing a one-stop-shop for all biological databases. Computer platforms, such as PhP, html, CSS, Java script and Biopython, are used to build all the databases. © 2024 Wiley Periodicals LLC.

Impact of COVID-19 pandemic on physician-scientist trainees to faculty one year into the pandemic.

PURPOSE: Physician-scientists play a crucial role in advancing biomedical sciences. Proportionally fewer physicians are actively engaged in scientific pursuits, attributed to attrition in the training and retention pipeline. This national study evaluated the ongoing and longer-term impact of the COVID-19 pandemic on stress levels, research productivity, and optimism for physician-scientists at all levels of training. METHODS: A multi-institutional cross-sectional survey of medical students, graduate students, and residents/fellows/junior faculty (RFJF) was conducted from April to August 2021 to assess the impact of COVID-19 on individual stress, productivity, and optimism. Multivariate regression analyses were performed to identify associated variables and unsupervised variable clustering techniques were employed to identify highly correlated responses. RESULTS: A total 677 respondents completed the survey, representing different stages of physician-scientist training. Respondents report high levels of stress (medical students: 85%, graduate students: 63%, RFJF: 85%) attributed to impaired productivity concerns, concern about health of family and friends, impact on personal health and impairment in training or career development. Many cited impaired productivity (medical students: 65% graduate students: 79%, RFJF: 78%) associated with pandemic impacts on training, labs closures and loss of facility/resource access, and social isolation. Optimism levels were low (medical students: 37%, graduate students: 38% and RFJF: 39%) with females less likely to be optimistic and more likely to report concerns of long-term effects of COVID-19. Optimism about the future was correlated with not worrying about the long-term effects of COVID-19. Since the COVID-19 pandemic, all respondents reported increased prioritization of time with family/friends (67%) and personal health (62%) over career (25%) and research (24%). CONCLUSIONS: This national survey highlights the significant and protracted impact of the COVID-19 pandemic on stress levels, productivity, and optimism among physician-scientists and trainees. These findings underscore the urgent need for tailored support, including mental health, academic, and career development assistance for this biomedical workforce.