What predicts citation counts and translational impact in headache research? A machine learning analysis.

BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive. METHODS: Bibliometric data and the titles, abstracts, and keywords from 8600 publications in three headache-oriented journals from their inception to 31 December 2017 were used. A series of machine learning models were implemented to predict three classes of 5-year citation count intervals (0-5, 6-14 and, >14 citations); and the translational impact of a publication. Models were evaluated out-of-sample with area under the receiver operating characteristics curve (AUC). RESULTS: The top performing gradient boosting model predicted correct citation count class with an out-of-sample AUC of 0.81. Bibliometric data such as page count, number of references, first and last author citation counts and h-index were among the most important predictors. Prediction of translational impact worked optimally when including both bibliometric data and information from the title, abstract and keywords, reaching an out-of-sample AUC of 0.71 for the top performing random forest model. CONCLUSION: Citation counts are best predicted by bibliometric data, while models incorporating both bibliometric data and publication content identifies the translational impact of headache research.

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.

Research hotspots of polycystic ovary syndrome and hyperandrogenism from 2008 to 2022: bibliometric analysis.

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is the most frequent endocrine disorder in female adults, and hyperandrogenism (HA) is the typical endocrine feature of PCOS. This study aims to investigate the trends and hotspots in the study of PCOS and HA. METHODS: Literature on Web of Science Core Collection (WoSCC) from 2008 to 2022 was retrieved, and bibliometric analysis was conducted using VOSviewer and CiteSpace software. RESULTS: A total of 2,404 papers were published in 575 journals by 10,121 authors from 2,434 institutions in 86 countries. The number of publications in this field is generally on the rise yearly. The US, China and Italy contributed almost half of the publications. Monash University had the highest number of publications, while the University of Adelaide had the highest average citations and the Karolinska Institute had the strongest cooperation with other institutions. Lergo RS contributed the most to the field of PCOS and HA. The research on PCOS and HA mainly focused on complications, adipose tissue, inflammation, granulosa cells, gene and receptor expression. CONCLUSION: Different countries, institutions, and authors should facilitate cooperation and exchanges. This study will be helpful for better understanding the frontiers and hotspots in the areas of PCOS and HA.

Mapping the landscape of medical research in the Arab world countries: A comprehensive bibliometric analysis.

OBJECTIVES: To describe the productivity, performance, and impact of medical research in the Arab world countries. METHODS: We carried out a bibliometric analysis using Clarivate Analytics databases from January 2017 to March 2023. We reported research productivity, national and international research collaboration patterns, impact of Arab medical research output compared to the global average, top medical journals publishing Arab-affiliated research, and performance of the most productive Arab institutions. RESULTS: The Arab world contributed 2.72% to global medical research publication, with a citation impact of 11.98 compared to the global impact of 12.02. Qatar, Lebanon, and Saudi Arabia led medical research publications per million population among Arab countries, ranking 26th, 36th, and 37th globally. Medical research publications increased by 87% annually from 2017-2022, with 70% of research originating from Saudi Arabia and Egypt. National collaborations accounted for 15% of Arab world publications, while international collaborations represented 66%. The median impact factor across the top 20 medical journals with Arab-affiliated authors was 5.14, with 50% being quartile one journals. The top 10 Arab-origin medical journals had a median impact factor of 3.13. Approximately 80% of the top 20 Arab institutions were academic, with a median publication count of 3,162.5 and a median citation impact of 14.5. CONCLUSION: The study provides insights into the state of medical research in the Arab countries, indicating room for improvement in the region's medical research.

Analysis of the retraction papers in oncology field from Chinese scholars from 2013 to 2022.

OBJECTIVE: To analyze the characteristics of retracted oncology papers from Chinese scholars and the reasons for retraction. METHODS: Data on retracted oncology papers from Chinese scholars published from 2013 to 2022 were retrieved from the Retraction Watch database. The retraction number and annual distribution, article types, reasons for retraction, retraction time delay, publishers, and journal characteristics of the retracted papers were analyzed. RESULTS: A total of 2695 oncology papers from Chinese scholars published from 2013 to 2022 had been retracted. The majority of these papers were published from 2017 to 2020. In terms of article type, 2538 of the retracted papers were research articles, accounting for 94.17% of the total number of retracted papers. The main reasons for retraction were data, result, and image problems, duplicate publication, paper mills, author- and third-party-related reasons, plagiarism, false reviews, and method errors. The retraction time delay for the retracted papers ranged from 0 to 3582 days (median, 826 days). The retractions mainly occurred within the first 4 years after publication. A total of 77 publishers were involved in the retracted papers. In terms of journal distribution, 394 journals were involved in the retracted papers, of which 368 (93.40%) were included in the SCI database. There were 243 journals with an impact factor of <5 (66.03%). CONCLUSION: In the field of oncology, the annual distribution of retracted papers from Chinese scholars exhibited first an increasing and subsequently a decreasing trend, reaching a peak in 2019, indicating an improvement in the status of retraction after 2021. The main type of the retracted papers was research article, and the main reason for retraction was academic misconduct. The retractions were mainly concentrated in several major publishers and periodicals in Europe and the United States. Most of the journals had low-impact factors.

Global scientific trends on the islet transplantation in the 21st century: A bibliometric and visualized analysis.

BACKGROUND: Islet transplantation (IT) has emerged as a significant research area for the treatment of diabetes mellitus and has witnessed a surge in scholarly attention. Despite its growing importance, there is a lack of bibliometric analyses that encapsulate the evolution and scientific underpinnings of this field. This study aims to fill this gap by conducting a comprehensive bibliometric analysis to delineate current research hotspots and forecast future trajectories within the IT domain with a particular focus on evidence-based medicine practices. METHODS: This analysis scrutinized literature from January 1, 2000, to October 1, 2023, using the Web of Science Core Collection (WoSCC). Employing bibliometric tools such as VOSviewer, CiteSpace, and the R package "bibliometrix," we systematically evaluated the literature to uncover scientific trends and collaboration networks in IT research. RESULTS: The analysis revealed 8388 publications from 82 countries, predominantly the United States and China. However, global cross-institutional collaboration in IT research requires further strengthening. The number of IT-related publications has increased annually. Leading research institutions in this field include Harvard University, the University of Alberta, the University of Miami, and the University of Minnesota. "Transplantation" emerges as the most frequently cited journal in this area. Shapiro and Ricordi were the most prolific authors, with 126 and 121 publications, respectively. Shapiro also led to co-citations, totaling 4808. Key research focuses on IT sites and procedures as well as novel therapies in IT. Emerging research hotspots are identified by terms like "xenotransplantation," "apoptosis," "stem cells," "immunosuppression," and "microencapsulation." CONCLUSIONS: The findings underscore a mounting anticipation for future IT research, which is expected to delve deeper into evidence-based methodologies for IT sites, procedures, and novel therapeutic interventions. This shift toward evidence-based medicine underscores the field's commitment to enhancing the efficacy and safety of IT for diabetes treatment, signaling a promising direction for future investigations aimed at optimizing patient outcomes.

Bibliometric and visualized analysis of type 2 diabetic osteoporosis from 2013 to 2022.

Type 2 diabetic osteoporosis (T2DOP) has received increasing attention from researchers. In this study, a total of 453 publications related to T2DOP from 2013 to 2022 were analyzed using bibliometric and visual analysis to identify the research trends and research hotspots in the field of T2DOP. PURPOSE: The objective of this study was to conduct a comprehensive bibliometric analysis of T2DOP-related publications from 2013 to 2022 to determine global research trends in T2DOP in terms of number of publications, countries/regions, institutions, authors, journals, funding agencies, and keywords. METHODS: All data were collected from the Web of Science Core Collection (WoSCC). All original research publications regarding T2DOP from 2013 to 2022 were retrieved. VOSviewer and Microsoft Office Excel were used to conduct the bibliometric and visual analysis. RESULTS: From 2013 to 2022, 515 relevant publications were published, with a peak in 2022 in the annual number of publications. The countries leading the research were USA and China. Sugimoto was the most influential authors. Capital Medical University and Nanjing Medical University were the most prolific institutions. Osteoporosis International was the most productive journal concerning T2DOP research. National Natural Science Foundation of China was the primary funding source for this research area. "Bone-mineral density", "fracture risk", and "postmenopausal women" were the most high-frequency keywords over the past 10 years. CONCLUSION: This was the first bibliometric study of diabetes mellitus and osteoporosis to exclusively examine type 2 diabetes mellitus. Our findings would provide guidance to understand the research frontiers and hot directions in the near future.

Bibliometric analysis of the global trends in immune-related recurrent pregnancy loss research over the last two decades.

PROBLEM: A comprehensive analysis was conducted to explore the scientific output on immune-related recurrent pregnancy loss (RPL) and its key aspects. Despite the lack of clear explanations for most RPL cases, immune factors were found to play a significant role. METHOD OF STUDY: The study utilized a bibliometric approach, searching the Web of Science Core Collection database for relevant literature published between 2004 and 2023. RESULTS: The collected dataset consisted of 2228 articles and reviews, revealing a consistent increase in publications and citations over the past two decades. The analysis identified the United States and China as the most productive countries in terms of RPL research. Among the institutions, Fudan University in China emerged as the top contributor, followed by Shanghai Jiaotong University. Kwak-kim J was the most prolific author, while Christiansen Ob had the highest number of co-citations. The top 25 co-cited references on diagnosis, treatment, and mechanisms formed the foundation of knowledge in this field. By examining keyword co-occurrence and co-citations, the study found that antiphospholipid syndrome and natural killer cells were the primary areas of focus in immune-related RPL research. Additionally, three emerging hotspots were identified: chronic endometritis, inflammation, and decidual macrophages. These aspects demonstrated increasing interest and research activity within the field of immune-related RPL. CONCLUSIONS: Overall, this comprehensive bibliometric analysis provided valuable insights into the patterns, frontiers, and focal points of global scientific output related to immune-related RPL.

La dramática pérdida de potencia estadística al dicotomizar variables continuas / The dramatic loss of statistical power when dichotomising continuous variables

Una práctica muy habitual en la investigación médica, durante el proceso de análisis de los datos, es dicotomizar variables numéricas en dos grupos. Dicha práctica conlleva la pérdida de información muy útil que puede restar eficacia a la investigación. A través de varios ejemplos, se muestra cómo con la dicotomización de variables numéricas los estudios pierden potencia estadística. Esto puede ser un aspecto crítico que impida valorar, por ejemplo, si un procedimiento terapéutico es más efectivo o si un determinado factor es de riesgo. Por tanto, se recomienda no dicotomizar las variables continuas si no existe un motivo muy concreto para ello. (AU)

Abstract. A very common practice in medical research, during the process of data analysis, is to dichotomise numerical variables in two groups. This leads to the loss of very useful information that can undermine the effectiveness of the research. Several examples are used to show how the dichotomisation of numerical variables can lead to a loss of statistical power in studies. This can be a critical aspect in assessing, for example, whether a therapeutic procedure is more effective or whether a certain factor is a risk factor. Dichotomising continuous variables is therefore not recommended unless there is a very specific reason to do so. (AU)

Potential Errors in Health Disparities Research Resulting from Lack of Unique Patient Identifiers: Analysis of Diabetes-related Preventable Hospitalizations.

All-payer, population-level hospital discharge data have been used to identify health disparities across racial/ethnic and other demographic groups. However, researchers are often unable to identify unique patients in the data sets if a unique patient identifier is not provided. The lack of the unique patient identifier can result in biased estimates of research outcomes using discharge data. This could then mislead the researchers, public, or policy-makers who utilize such biased results. This study examined estimation bias of health disparities due to rehospitalizations considering diabetes-related preventable hospitalizations using 6 years of state-level data from Hawai'i Health Information Corporation. Different analyses methods showed different probabilities of having multiple visits by age, race/ethnicity and payer subgroups. Charge analysis results also showed that ignoring the multiple visits could result in significance error. For a patient with multiple hospitalizations, rehospitalizations are often dependent upon the discharge status of previous visits, and the independence assumption of the multiple visits may not be appropriate. Ignoring the multiple visits in population-level analyses could result in severe health disparities significance errors. In this hospitalization charge analysis, the Chinese group was not significantly different than the White group (relative risk ratio - RR: [95% CI]: 0.93 [0.80, 1.08]), while the difference was signficant (RR [95% CI]: 0.86 [0.77,0.96]) when the multiple visits were ignored.

A review of published research in the South African Family Practice - A clarion call to action.

No abstract available.

Knowledge mapping of immunotherapy for allergic rhinoconjunctivitis: a bibliometric study (2002–2021)

Background: Allergic rhinoconjunctivitis (ARC) is a common chronic inflammatory disease. Numerous studies on the treatment of ARC have been published. By contrast, there are few bibliometric studies on immunotherapy for ARC. The purpose of this article is to describe the current treatments for ARC and to identify the trends in immunotherapy for ARC. Methods: Publications were searched from the Web of Science (WOS) Core Collection on April 25, 2022. CiteSpace and Microsoft Excel software were used for further bibliometric analysis. Results: A total of 969 publications on immunotherapy for ARC in English were retrieved. The number of relevant publications has been continuously increasing over the past 20 years, with many of the publications coming from Germany and the United States of America. In terms of institutions, the ALK Company in Denmark, Imperial College London in United Kingdom, and Charite–Universitatsmedizin Berlin in Germany published the most articles on immunotherapy for ARC. Meanwhile, Allergy and Journal of Allergy and Clinical Immunology published the most number of studies, and Oliver Pfaar from Germany authored the most number of articles. “Subcutaneous immunotherapy,” “international consensus,” “allergen immunotherapy,” and “recommendation” were the most popular subjects. Thus, directions in research can be predicted as studies regarding mechanisms of ARC, clinical trials, and extracts have reported high-quality results. Conclusion: Over the past 20 years, the overall quality of research on immunotherapy for ARC has gradually improved, allowing the introduction of specific and targeted treatment. Currently, the main focus of ARC research is the novel routes of drug delivery and combined treatment with biological agents (AU)

Liderazgo de la mujer en la investigación clínica: estudio observacional retrospectivo durante dos décadas en España / Women's leadership in clinical research: A retrospective observational study over two decades in Spain

Antecedentes y objetivo Los datos disponibles avalan las diferencias por género en el liderazgo de las investigaciones clínicas (IC). Este estudio analiza en qué medida las mujeres lideran estas investigaciones. Materiales y métodos Estudio observacional retrospectivo en un hospital universitario terciario asociado a uno de los institutos de investigación sanitaria más importantes de España. Analizamos los investigadores principales (IP) por género (2001-2020). Variable principal: proporción de IC lideradas por mujeres durante el período de estudio. Variables secundarias: diferencias de IP por género según el tipo de estudio: ensayos clínicos (EC) o estudios de no-intervención (ENI) y según la financiación. Fuentes de datos: registros del Comité de Ética en Investigación con medicamentos (CEIm) y del Departamento de Recursos Humanos. Resultados Durante el estudio, el CEIm aprobó 8.466 protocolos; el 52% (4.408/8.466) fueron EC y el resto, ENI. Las mujeres lideraron un 39,7% (3.360/8.466) del total. La brecha de género se observó principalmente en EC: las mujeres fueron IP de un 31,5% de ellos (1.391/4.408) y de un 48,5% (1.969/4.058) de los ENI. Ello a pesar de la tendencia creciente del número de facultativas. Los estudios de financiación privada fueron más comúnmente liderados por hombres. Conclusiones Nuestros resultados demuestran que existe una infrarrepresentación de las mujeres en puestos de liderazgo en la investigación, principalmente en aquellos con financiación privada. Este estudio refuerza la idea de que todavía queda un largo camino por recorrer en este campo. Se necesitan más estudios para la identificación de diferencias existentes que permitan implantar cambios a nivel institucional y cultural que promuevan la igualdad de género en el ámbito de la investigación clínica (AU)

Background and objective Available data support differences by gender in the leadership of clinical investigations (CI). This study analyzes to what extent women lead these investigations. Materials and method Observational-retrospective study in a tertiary university hospital associated with one of the most important health research institutes in Spain. We analyzed the principal investigators (PI) by gender from 2001 to 2020. Main outcome: proportion of CI led by female doctors (FD) during the study period. Secondary outcomes: differences in PI by gender according to the type of study: clinical trials (CT) or non-interventional-researches (NIR) and according to type of funding. Data sources: Research Ethics Committee (REC) and Human Resources Department registries. Result During the study, the REC approved 8,466 protocols, 52% (4,408/8,466) were EC, the rest were NIR. Women led 39.7% (3,360/8,466) of the total. The gender gap was observed mainly in EC: FD were IP of 31.5% of them (1,391/4,408) and 48.5% (1,969/4,058) of NIR. This despite the increasing trend in the number of FD staff. By type of funding, when the studies were supported by private sector there was a wider gap markedly unfavorable for women. Conclusions Our results show that there is underrepresentation of women in research leadership, mainly those with private financing. This study reinforces the idea that there is still a long way to go in this field. More studies are necessary to identify the existing differences that allow the implementation of actions at the institutional and cultural level that promote gender equality in the field of clinical research (AU)

Is it possible to measure good science?

Metrics play a vital part in the valuation and funding of research for scientists worldwide. We review the challenges that metrics pose in providing a fair and equitable system for research funding. We highlight the attempts with declarations, including the San Francisco Declaration on Research Assessment (SF-DORA), to improve the research environment and specific impacts that metric choice can have on the evaluation and progression of Early Career Lecturers (ECLs). While there is much evidence that metrics will never be entirely satisfactory, we conclude there are opportunities that would benefit ECLs and reason for optimism for researchers.