bims-librar Biomed News
on Biomedical librarianship
Issue of 2025–05–18
seventeen papers selected by
Thomas Krichel, Open Library Society



  1. Nucleic Acids Res. 2025 May 13. pii: gkaf402. [Epub ahead of print]
      BioPortal (https://bioportal.bioontology.org) is the world's most comprehensive repository of biomedical ontologies. It provides infrastructure for finding, sharing, searching, and utilizing biomedical ontologies. Launched in 2005, BioPortal now includes 1549 ontologies (1182 of them public). Its open, freely accessible website enables anyone (i) to browse the ontology library, (ii) to search for terms across ontologies, (iii) to browse mappings between terms, (iv) to see popularity ratings and recommendations on which ontologies are most relevant to their use cases, (v) to annotate text with ontology terms, (vi) to submit an ontology, and (vii) to request ontology changes. The library of ontologies can be accessed programmatically via a REST application programming interface (API). Recent enhancements include a BioPortal knowledge graph that integrates knowledge from multiple ontologies; a unified data model for interoperability with other knowledge sources; ontology popularity ratings and recommendations for relevant ontologies; and the ability to request ontology changes via a simple user interface that automatically converts user change requests to GitHub Pull Requests that specify the edits that will be made to the ontology upon approval.
    DOI:  https://doi.org/10.1093/nar/gkaf402
  2. PLOS Digit Health. 2025 May;4(5): e0000849
      There is a growing number of articles about conversational AI (i.e., ChatGPT) for generating scientific literature reviews and summaries. Yet, comparative evidence lags its wide adoption by many clinicians and researchers. We explored ChatGPT's utility for literature search from an end-user perspective through the lens of clinicians and biomedical researchers. We quantitatively compared basic versions of ChatGPT's utility against conventional search methods such as Google and PubMed. We further tested whether ChatGPT user-support tools (i.e., plugins, web-browsing function, prompt-engineering, and custom-GPTs) could improve its response across four common and practical literature search scenarios: (1) high-interest topics with an abundance of information, (2) niche topics with limited information, (3) scientific hypothesis generation, and (4) for newly emerging clinical practices questions. Our results demonstrated that basic ChatGPT functions had limitations in consistency, accuracy, and relevancy. User-support tools showed improvements, but the limitations persisted. Interestingly, each literature search scenario posed different challenges: an abundance of secondary information sources in high interest topics, and uncompelling literatures for new/niche topics. This study tested practical examples highlighting both the potential and the pitfalls of integrating conversational AI into literature search processes, and underscores the necessity for rigorous comparative assessments of AI tools in scientific research.
    DOI:  https://doi.org/10.1371/journal.pdig.0000849
  3. Nucleic Acids Res. 2025 May 16. pii: gkaf417. [Epub ahead of print]
      LitSense 2.0 (https://www.ncbi.nlm.nih.gov/research/litsense2/) is an advanced biomedical search system enhanced with dense vector semantic retrieval, designed for accessing literature on sentence and paragraph levels. It provides unified access to 38 million PubMed abstracts and 6.6 million full-length articles in the PubMed Central (PMC) Open Access subset, encompassing 1.4 billion sentences and ∼300 million paragraphs, and is updated weekly. Compared to PubMed and PMC, the primary platforms for biomedical information search, LitSense offers cross-platform functionality by searching seamlessly across both PubMed and PMC and returning relevant results at a more granular level. Building on the success of the original LitSense launched in 2018, LitSense 2.0 introduces two major enhancements. The first is the addition of paragraph-level search: users can now choose to search either against sentences or against paragraphs. The second is improved retrieval accuracy via a state-of-the-art biomedical text encoder, ensuring more reliable identification of relevant results across the entire biomedical literature.
    DOI:  https://doi.org/10.1093/nar/gkaf417
  4. Z Evid Fortbild Qual Gesundhwes. 2025 May 14. pii: S1865-9217(25)00117-5. [Epub ahead of print]
      The website Gesundheitsinformation.de and its English sister website InformedHealth.org are a service of the Institute for Quality and Efficiency in Health Care (IQWiG). IQWiG has the legal mandate to provide all citizens with independent and scientifically proven free health information. The website currently comprises information on more than 300 diseases and health issues ("topics"). Evidence-based medicine (EBM) forms the base of Gesundheitsinformation.de. Regular updates are therefore an important quality criterion. Usually, the information is updated every three years. The paper will describe a major update process of the individual topics on Gesundheitsinformation.de. The major process includes 10 steps (e.g., evidence search, medical writing, editorial revisions, and translation). However, many updates are minor in reason or scope. For those minor updates certain steps can be omitted to limit resources and time.
    Keywords:  Aktualisierungsprozess; Evidence-based medicine; Evidenzbasierte Medizin; Gesundheitsinformation.de; Gesundheitsinformationen; Health information; InformedHealth.org; Update process
    DOI:  https://doi.org/10.1016/j.zefq.2025.04.002
  5. Cureus. 2025 Apr;17(4): e81993
       INTRODUCTION: Diabetes management involves using various oral hypoglycemic agents, including new glucagon-like peptide-1 (GLP-1) receptor agonists like semaglutide, tirzepatide, and liraglutide. Artificial intelligence (AI) tools such as ChatGPT (OpenAI, San Francisco, United States) and Google Gemini (Google DeepMind, London, United Kingdom) provide an innovative approach to creating patient education materials, potentially enhancing the accessibility and understanding of medical information. Thus, the study aimed to compare the effectiveness of ChatGPT and Google Gemini in generating patient education brochures for semaglutide, tirzepatide, and liraglutide. Key criteria included readability, similarity, and reliability of the generated content.
    METHODOLOGY: The cross-sectional study design was conducted in June 2024, involving data collection from ChatGPT-3.5 and Google Gemini. Each AI tool generated educational brochures for the three medications. The responses were evaluated using Flesch-Kincaid readability scores, Quillbot similarity analysis, and a modified DISCERN instrument for reliability assessment. Statistical analysis included univariate t-tests and Pearson's coefficient of correlation via RStudio v4.3.2 (Posit, Boston, United States).
    RESULTS: ChatGPT generated longer brochures with higher word counts compared to Google Gemini, which had better readability scores. Similarity analysis showed that Google Gemini's content had a higher percentage of overlap. Both AI tools demonstrated high reliability scores, with no significant difference between them.
    CONCLUSIONS: Google Gemini provided more readable content, while ChatGPT produced slightly more detailed information. Both AI tools were effective in generating reliable patient education materials for GLP-1 receptor agonists. However, future research should incorporate more AI tools and updated versions for comprehensive analysis.
    Keywords:  artificial intelligence; chatgpt; diabetes; glp-1 receptor agonists; google gemini; liraglutide; patient education; readability analysis; semaglutide; tirzepatide
    DOI:  https://doi.org/10.7759/cureus.81993
  6. Foot Ankle Surg. 2025 May 12. pii: S1268-7731(25)00117-1. [Epub ahead of print]
       BACKGROUND: The study assessed the quality and readability of responses given by ChatGPT to common patient questions about ankle fusion.
    METHODS: Twenty-five frequently asked questions about ankle fusion were queried to ChatGPT 4.0 individually, and responses were assessed using the accuracy score developed by Mika et al. and the DISCERN tool. Readability was evaluated using the Flesch-Kincaid grade level, Gunning Fog, Coleman-Liau, and Simple Measure of Gobbledygook indexes.
    RESULTS: ChatGPT's responses were generally of acceptable quality, with a mean accuracy score of 2, indicating that the overall responses were satisfactory and required minimal clarification, along with a DISCERN score of 49.78, which is considered fair. However, the readability level was high, with a mean of 11.6 grade level.
    CONCLUSIONS: ChatGPT showed promise as a resource for answering common patient questions about ankle fusion, providing mostly valid information. However, a high reading level was necessary to understand the response given.
    LEVELS OF EVIDENCE: N/A.
    Keywords:  Ankle arthritis; Ankle arthrodesis; Ankle fusion; Artificial intelligence; ChatGPT
    DOI:  https://doi.org/10.1016/j.fas.2025.05.001
  7. Cureus. 2025 Apr;17(4): e82042
      Breast implant illness (BII) has emerged as a significant concern for patients with breast implants, characterized by a range of symptoms, including fatigue, cognitive impairment, and joint pain. The growing recognition of BII has prompted increased scientific investigation. However, despite the rising prevalence of breast augmentation procedures, there remains a lack of consensus within the medical community regarding the diagnosis, etiology, and treatment of BII. This study aimed to evaluate the readability of online resources pertaining to BII to determine their accessibility to the general population. A systematic internet search was conducted using three major search engines (Google, Bing, and Yahoo) with the query "breast implant illness." After excluding duplicates and paid content, 28 unique websites were analyzed using five established readability indices: Flesch-Kincaid Reading Ease Score (FRES), Gunning-Fog Index, Coleman-Liau Index, Simplified Measure of Gobbledygook (SMOG), and Automated Readability Index. The results revealed a considerable range in the readability of online materials related to BII. The average FRES was 50.4, categorizing the material as "fairly difficult" to read. The Gunning-Fog Score averaged 9.3, suggesting a 9th-grade education level for comfortable comprehension. The SMOG Index indicated a reading level appropriate for individuals with at least 13 years of education. The Coleman-Liau Index suggested a reading level corresponding to a 21-year-old, while the Automated Readability Index pointed to a high school freshman level. These findings highlight a significant disparity between the readability of available information and the recommended standards set by the American Medical Association and the National Institutes of Health, which propose that patient education materials should be written at a 6th-grade reading level or lower. The study's results are consistent with research on the readability of online health information in other domains, identifying a mismatch between the reading level of the general public and the complexity of available health information. The importance of readability in online health information cannot be overstressed, particularly in the context of BII, where decisions may include elective surgery with inherent risks. The study calls for the development and implementation of standardized guidelines for creating online health materials that are accessible to a diverse audience. This includes simplifying language, using clear formatting, and incorporating visual aids to enhance comprehension.
    Keywords:  breast implant illness; explantation surgery; flesch-kincaid; google; health literacy; online patient education; readability measures
    DOI:  https://doi.org/10.7759/cureus.82042
  8. Arthroscopy. 2025 May 09. pii: S0749-8063(25)00344-5. [Epub ahead of print]
      
    Keywords:  Digital health literacy; Online misinformation; Orthobiologics; Patient education; YouTube health content
    DOI:  https://doi.org/10.1016/j.arthro.2025.04.047
  9. Int Forum Allergy Rhinol. 2025 May 15. e23610
      
    Keywords:  CRS; YouTube; chronic rhinosinusitis; online videos; patient education
    DOI:  https://doi.org/10.1002/alr.23610
  10. Rev Int Androl. 2025 Mar;23(1): 67-75
       BACKGROUND: The main objective of this research was to evaluate the effectiveness of YouTube videos related to penile fracture by applying established rating systems.
    METHODS: A descriptive investigation was carried out by browsing YouTube for videos related to "Penile fracture". Out of a total of 108 videos that were found, 47 were deemed eligible for inclusion in the analysis. The features and substance of the videos were assessed utilizing the adjusted DISCERN tool, the criteria from the Journal of the American Medical Association (JAMA), and the Global Quality Scale (GQS). Statistical analysis was performed using SPSS 22.0 software, with a significance level of p < 0.05.
    RESULTS: High-quality videos, as classified by GQS, had more views, likes, and comments than lower-quality videos; however, these differences were not statistically significant (p > 0.05). In contrast, videos with detailed and accurate content had significantly higher view counts (approximately tenfold) and more likes (approximately twofold) than poor-content videos (p < 0.05). A strong positive correlation was found between content analysis scores and DISCERN (r = 0.815, p < 0.001), JAMA (r = 0.781, p < 0.001), and GQS (r = 0.722, p < 0.001). Videos made by urologists and surgeons demonstrated superior quality across all measured criteria in comparison to those crafted by individuals without healthcare backgrounds (p < 0.001).
    CONCLUSIONS: The quality of YouTube content addressing penile fracture exhibits a wide range, with content generated by healthcare experts standing out for its high quality. It is imperative for medical professionals to actively engage in disseminating accurate health information on these platforms.
    Keywords:  DISCERN; GQS; JAMA; Penile fracture; Video quality; YouTube
    DOI:  https://doi.org/10.22514/j.androl.2025.003
  11. Front Public Health. 2025 ;13 1507776
       Background: Currently, video platforms were filled with many low-quality, uncensored scientific videos, and patients who utilize the Internet to gain knowledge about specific diseases are vulnerable to being misled and possibly delaying treatment as a result. Therefore, a large sample survey on the content quality and popularity of online scientific videos was of great significance for future targeted reforms.
    Objective: This study utilized normalization data analysis methods and a basic assessment scale, providing a new aspect for future research across multiple platforms with large sample sizes and for the development of video content quality assessment scales.
    Methods: This cross-sectional study analyzed a sample of 331 videos retrieved from YouTube, BiliBili, TikTok, and Douyin on June 13, 2024. In the analysis of atrial fibrillation scientific videos across four social media platforms, comprehensive metrics and a basic scoring scale revealed associations between platforms, creators, and the popularity and content quality of the videos. Data analysis employed principal component analysis, normalization data processing, non-parametric tests, paired t-tests, and negative binomial regression.
    Results: Analysis of the user engagement data using a composite index revealed a significant difference in the popularity of videos from publishers with a medical background (z = -4.285, p < 0.001), no aforementioned findings were found among video platforms, however, except for the Bilibili platform. As for content quality, while the difference in the total number of videos between the two groups was almost 2-fold (229:102), the difference in qualified videos was only 1.47-fold (47:32), a ratio that was even more unbalanced among the top 30% of videos with the most popularity. Notably, the overall content quality of videos from publishers without a medical background was also significantly higher (z = -2.299, p = 0.02).
    Conclusion: This analysis of atrial fibrillation information on multiple social media platforms found that people prefer videos from publishers with a medical background. However, it appeared that these publishers did not sufficiently create high-quality, suitable videos for the public, and the platforms seemed to lack a rigorous censorship system and policy support for high-quality content. Moreover, the normalized data processing method and the basic assessment scale that we attempted to use in this study provided new ideas for future large-sample surveys and content quality review.
    Keywords:  atrial fibrillation; author type; patient education; social media platform; video content quality
    DOI:  https://doi.org/10.3389/fpubh.2025.1507776
  12. Am J Gastroenterol. 2025 May 14.
       BACKGROUND: Social media platforms like TikTok are major sources of health information but raise concerns about misinformation.
    METHODS: We conducted a content analysis of the top 200 TikTok videos on colorectal cancer (CRC), irritable bowel syndrome (IBS), and inflammatory bowel disease (IBD). Videos were categorized by content focus and narrator type.
    RESULTS: CRC videos were largely healthcare-provider generated (66.5%), while IBS and IBD content was mostly patient-driven (79.14% and 80.32%), with frequent misinformation. Dietary changes were commonly discussed; evidence-based treatments were underrepresented.
    CONCLUSION: Greater healthcare engagement and content regulation are needed to improve the quality of online gastrointestinal health information.
    DOI:  https://doi.org/10.14309/ajg.0000000000003539
  13. J Prim Care Community Health. 2025 Jan-Dec;16:16 21501319251332048
       INTRODUCTION: Early recognition of ischemic heart disease (IHD) is important, yet, delays still occur due to low symptom recognition. Accessible information may improve symptom recognition, however, it is unclear how information should be provided to reach different populations. Hence, we studied health information seeking behavior (HISB) and preferences, in ethnically-diverse women and men in the Netherlands.
    METHODS: We conducted 31 patients interviews, seven key figure interviews and one focus group with key figures (community leaders and physicians), and eight focus groups with non-patients (N = 44) about HISB and health information preferences. We thematically analyzed the data using inductive coding.
    RESULTS: We found minimal variation in HISB, as most patients did not seek information about symptoms. Participants required information about cardiac symptoms, risk factors, when to seek care, prevention, and navigating the Dutch healthcare system. Several information provision strategies emerged, with preferences varying somewhat across ethnic groups and age groups. Ethnic minority participants described a preference for culturally-sensitive community-based live information provision. Other strategies included media, social media, and native Dutch participants mentioned public spaces and healthcare settings.
    CONCLUSION: HISB was limited in this ethnically-diverse population. Different strategies may be employed to promote symptom recognition, particularly co-created culturally-sensitive interventions.
    Keywords:  cardiovascular disease; diversity; ethnicity; health information seeking behavior
    DOI:  https://doi.org/10.1177/21501319251332048
  14. Health Commun. 2025 May 15. 1-12
      Friends and family members often choose to seek health information for a loved one, rather than all information-seeking being carried out by the patient for themselves. Despite the popularity of this proxy for health information-seeking behavior (PHISB), there is a lack of more current data on PHISB, as well as on changes in PHISB. We analyzed health information-seeking based on data from the two available waves of the HINTS Germany study (2018/19: N = 2.147;2020: N = 1.865). HINTS Germany is a data set mapping health information behaviors in the German population, closely linked to the well-established U.S. HINTS. The results show an increase in health information-seeking of 6.2% (p < .001), between the first wave (36%; n = 772) and the second wave (42%; n = 778). A bivariate analysis followed by a hierarchical logit model yielded similar significant determinants for PHISB. Gender, being in a stable relationship, and different information sources were all found to be significant for health information-seeking. The results show the need for tailored population information for proxies, to improve their respective communication with patients.
    DOI:  https://doi.org/10.1080/10410236.2025.2502195
  15. Glob Health Promot. 2025 May 09. 17579759251334391
       BACKGROUND: Access to timely, accurate health-related information can protect migrants' health during public health crises. However, unmet language needs, social alienation and mistrust were among the barriers that migrants faced in accessing official information about COVID-19 and recommended vaccines. This study aimed to explore information-seeking behaviour about COVID-19 vaccines among Eastern Mediterranean Region (EMRO) born migrants in Australia.
    METHODS: With an explanatory mixed-method approach, we employed an online survey followed by semi-structured interviews. Survey and interviews were advertised through migrants-specific organisations' websites and social media posts, and Facebook advertisements. The survey collected data on socio-demographics, sources of information, preferred communication channels and information-gathering capacity from 300 individuals between September and November 2021. Seventeen adults participated in interviews between December 2021 and February 2022. The qualitative data were analysed using inductive thematic analysis.
    RESULTS: The survey participants' mean age was 41.4 ± 11.8 years and 52% were male. Around 70% reported that the Australian government was among their main sources of information, and 37% preferred receiving information via email or SMS. Around 70% agreed that they can easily access the information they need, feel included in government communications, and can distinguish between fake and good information. Around 60% agreed they could access information in their language, while approximately 50% of respondents indicated they had difficulty understanding vaccine information. Analysis of the interview transcripts revealed that the information sources used depended on their perceived need, their information-gathering capacity, ease of access and trust in sources. Lack of trust in official sources made it more difficult to accept uncertainty. Sources of information favoured included community networks and personal experience.
    CONCLUSION: To ensure equitable access to health information, health communications should be tailored to migrants' specific needs, preferences and information-gathering capacity. Such communication should be practised in all aspects of health, not only during a public health crisis, to improve trust in official sources.
    Keywords:  health communication; health information; migrants; refugees; vaccine
    DOI:  https://doi.org/10.1177/17579759251334391