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)

Identifying Precise Targets to Improve Child Mental Health Care Equity: Leveraging Advances in Clinical Research Informatics and Lived Experience.

To reduce child mental health disparities, it is imperative to improve the precision of targets and to expand our vision of social determinants of health as modifiable. Advancements in clinical research informatics and please state accurate measurement of child mental health service use and quality. Participatory action research promotes representation of underserved groups in informatics research and practice and may improve the effectiveness of interventions by informing research across all stages, including the identification of key variables, risk and protective factors, and data interpretation.

The anti-gender threat: An ethical, democratic, and scientific imperative for NIH research/ers.

Anti-gender campaigns in the United States and globally have promoted policies and legislation that significantly limit bodily autonomy for women, transgender, and nonbinary people. This attack on the human rights of women and gender-diverse communities not only reflects implicit and explicit bias but also detrimentally impacts population health and well-being. We outline the domestic and global rise of anti-gender campaigns and their deep historical connections to broader forms of discrimination and inequality to argue that there is an ethical, democratic, and scientific imperative to more critically center and contextualize gender in health research. While the inclusion of gender as a complex concept in research design, implementation, and dissemination is important, we emphasize that gender inequities must be understood as inextricable from other systems of discrimination and exclusion. To that end, this commentary outlines two actions: for researchers to advance critical approaches to gender as part of a broader landscape of discrimination, and for the US National Institutes of Health to integrate both sex and gender into funded research.

Nonfinancial Conflict of Interest in Medical Research: Is Regulation the Right Answer.

Medical research plays a vital role in advancing human knowledge, developing new therapies and procedures, and reducing human suffering. Following the atrocities committed in the name of medical research by German physicians during the Nazi era, the Nuremberg trials were held, and an ethical code was created to establish the limits within which medical research can operate. Consequently, legal regimes built upon this ethical foundation to develop laws that ensure the integrity of medical research and the safety of human subjects. These laws sought to protect human subjects by minimizing conflicts of interest that may arise during the process. Furthermore, conflicts of interest may be financial such as monetary gain, or nonfinancial such as promotion and career advancement. However, with a $1.1 billion median cost of developing a new drug, the focus of these laws was directed towards financial conflicts of interest. But should we expand these laws to include nonfinancial conflicts of interest? This Article highlights prominent arguments in favor of and against the regulation of nonfinancial conflicts of interest in medical research. It further concludes that adequate institutional policies--not additional regulations--strike the right balance between the need to safeguard against the harmful effects of nonfinancial conflicts of interest on the one hand and avoiding the drawbacks of overregulation on the other.

Defending and Defining Environmental Responsibilities for the Health Research Sector.

Six planetary boundaries have already been exceeded, including climate change, loss of biodiversity, chemical pollution, and land-system change. The health research sector contributes to the environmental crisis we are facing, though to a lesser extent than healthcare or agriculture sectors. It could take steps to reduce its environmental impact but generally has not done so, even as the planetary emergency worsens. So far, the normative case for why the health research sector should rectify that failure has not been made. This paper argues strong philosophical grounds, derived from theories of health and social justice, exist to support the claim that the sector has a duty to avoid or minimise causing or contributing to ecological harms that threaten human health or worsen health inequity. The paper next develops ideas about the duty's content, explaining why it should entail more than reducing carbon emissions, and considers what limits might be placed on the duty.

A taxing problem: The impacts of research payment practices on participants and inclusive research.

Empirical data regarding payments to participants in research is limited. This lack of information constrains our understanding of the effectiveness of payments to achieve scientific goals with respect to recruitment, retention, and inclusion. We conducted a content analysis of consent forms and protocols available on clinicaltrials.gov to determine what information researchers provide regarding payment. We extracted data from HIV (n = 101) and NIMH-funded studies (n = 65) listed on clinicaltrials.gov that had publicly posted a consent form. Using a manifest content analysis approach, we then coded the language regarding payment from the consent document and, where available, protocol for purpose and method of the payment. Although not part of our original planned analysis, the tax-related information that emerged from our content analysis of the consent form language provided additional insights into researcher payment practices. Accordingly, we also recorded whether the payment section mentioned social security numbers (or other tax identification number) in connection with payments and whether it made any statements regarding the Internal Revenue Service or the tax status of payments. We found studies commonly offered payment, but did not distinguish between the purposes for which payment may be offered (i.e., compensation, reimbursement, incentive, or appreciation). We also found studies that excluded some participants from receiving payment or treated them differently from other participants in the study. Differential treatment was typically linked to US tax laws and other legal requirements. A number of US studies also discussed the need to collect Social Security numbers and income reporting based on US tax laws. Collectively, these practices disadvantage some participants and may interfere with efforts to conduct more inclusive research.

Summer undergraduate biomedical research program for underrepresented minority students in a rural, low-income state.

Introduction: Diversity can enhance the agenda and quality of biomedical research, but a dearth of underrepresented minorities and women serve as biomedical researchers. The study purpose was to examine the impact of the a summer undergraduate research program on self-efficacy in research, scientific communication, and leadership as well as scientific identity, valuing objectives of the scientific community, and intent to pursue a biomedical research career. Methods: Underrepresented minority and female undergraduate students participated in a mentored research experience in a rural, low-income state. Results: Students' self-efficacy in research, scientific communication, and leadership as well as scientific identity, valuing objectives of the scientific community, and intent to pursue a biomedical research career increased post-program compared to pre-program. Conclusion: This study supports implementation of a biomedical summer undergraduate research program for URM and women in a poor, rural, settings.

COVID-19 Pandemic and Impact on Research Publications in Critical Care.

OBJECTIVES: The COVID-19 pandemic precipitated a significant transformation of scientific journals. Our aim was to determine how critical care (CC) journals and their impact may have evolved during the COVID-19 pandemic. We hypothesized that the impact, as measured by citations and publications, from the field of CC would increase. DESIGN: Observational study of journal publications, citations, and retractions status. SETTING: All work was done electronically and retrospectively. SUBJECTS: The top 18 CC journals broadly concerning CC, and the top 5 most productive CC journals on the SCImago list. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: For the top 18 CC journals and specifically Critical Care Medicine (CCM), time series analysis was used to estimate the trends of total citations, citations per publication, and publications per year by using the best-fit curve. We used PubMed and Retraction Watch to determine the number of COVID-19 publications and retractions. The average total citations and citations per publication for all journals was an upward quadratic trend with inflection points in 2020, whereas publications per year spiked in 2020 before returning to prepandemic values in 2021. For CCM total publications trend downward while total citations and citations per publication generally trend up from 2017 onward. CCM had the lowest percentage of COVID-related publications (15.7%) during the pandemic and no reported retractions. Two COVID-19 retractions were noted in our top five journals. CONCLUSIONS: Citation activity across top CC journals underwent a dramatic increase during the COVID-19 pandemic without significant retraction data. These trends suggest that the impact of CC has grown significantly since the onset of COVID-19 while maintaining adherence to a high-quality peer-review process.

Optimising the use of electronic medical records for large scale research in psychiatry.

The explosion and abundance of digital data could facilitate large-scale research for psychiatry and mental health. Research using so-called "real world data"-such as electronic medical/health records-can be resource-efficient, facilitate rapid hypothesis generation and testing, complement existing evidence (e.g. from trials and evidence-synthesis) and may enable a route to translate evidence into clinically effective, outcomes-driven care for patient populations that may be under-represented. However, the interpretation and processing of real-world data sources is complex because the clinically important 'signal' is often contained in both structured and unstructured (narrative or "free-text") data. Techniques for extracting meaningful information (signal) from unstructured text exist and have advanced the re-use of routinely collected clinical data, but these techniques require cautious evaluation. In this paper, we survey the opportunities, risks and progress made in the use of electronic medical record (real-world) data for psychiatric research.

Connecting lab, clinic, and community.

Despite great progress in biomedical research, the health of the US population appears to be getting worse. The United States spends substantially more per capita on health care than other wealthy countries, yet US life expectancy ranks low among its peers. Mortality rates have been increasing for segments of the US population, including those in rural areas, certain racial and ethnic groups, and individuals with low socioeconomic status. A whole-of-society approach is required to address such negative trends and disparities, and the biomedical research enterprise must play a key role.

Global cancer stigma research: a U.S. National Cancer Institute workshop report.

Stigma is a social process characterized by negative beliefs, attitudes, and stereotypes associated with a specific attribute or characteristic that leads to discrimination and social exclusion. Stigma manifests across the cancer control continuum and remains a key challenge for cancer prevention and control worldwide. In this commentary, we provide an overview of the U.S. National Cancer Institute's (NCI) Global Cancer Stigma Research Workshop, a multi-disciplinary international conference held virtually in September 2022, which focused on the intersection of cancer and stigma. The meeting was unique in its convening of researchers, advocates, clinicians, and non-governmental and governmental organizations, who-as a collective-provided overarching topics, cross-cutting considerations, and future directions for the cancer stigma research community to consider, which we describe herein. In summary, studying cancer stigma comprehensively requires a holistic, adaptive, and multifaceted approach-and should consider interrelated factors and their intersection within diverse cultural and social contexts worldwide. Collectively, there was a call for: an inclusive approach, encouraging researchers and practitioners to identify and measure cancer stigma as a driver for cancer health inequities globally; an expansion of existing research methodology to include diversity of experiences, contexts, and perspectives; and collaborations among diverse stakeholders to develop more effective strategies for reducing stigma and improving cancer outcomes. Such efforts are essential to cultivating effective and equitable approaches to preventing and treating cancer worldwide.

Research trends on alphavirus receptors: a bibliometric analysis.

Background: Alphaviruses are a diverse group of pathogens that have garnered considerable attention due to their impact on human health. By investigating alphavirus receptors, researchers can elucidate viral entry mechanisms and gain important clues for the prevention and treatment of viral diseases. This study presents an in-depth analysis of the research progress made in the field of alphavirus receptors through bibliometric analysis. Methods: This study encompasses various aspects, including historical development, annual publication trends, author and cited-author analysis, institutional affiliations, global distribution of research contributions, reference analysis with strongest citation bursts, keyword analysis, and a detailed exploration of recent discoveries in alphavirus receptor research. Results: The results of this bibliometric analysis highlight key milestones in alphavirus receptor research, demonstrating the progression of knowledge in this field over time. Additionally, the analysis reveals current research hotspots and identifies emerging frontiers, which can guide future investigations and inspire novel therapeutic strategies. Conclusion: This study provides an overview of the state of the art in alphavirus receptor research, consolidating the existing knowledge and paving the way for further advancements. By shedding light on the significant developments and emerging areas of interest, this study serves as a valuable resource for researchers, clinicians, and policymakers engaged in combating alphavirus infections and improving public health.