Background: Reproducibility is essential for the integrity of scientific research. Reproducibility is measured by the ability of different investigators to replicate the outcomes of an original publication using the same materials and procedures. Unfortunately, reproducibility is not currently a standard being met by most scientific research.
Methods: For this review, we sampled 300 publications in the field of urology to assess for 14 indicators of reproducibility including material availability, raw data availability, analysis script availability, pre-registration information, links to protocols, and if the publication was available free to the public. Publications were also assessed for statements about conflicts of interest and funding sources.
Results: Of the 300 sample publications, 171 contained empirical data available for analysis of reproducibility. Of the 171 articles with empirical data to analyze, 0.58% provided links to protocols, 4.09% provided access to raw data, 3.09% provided access to materials, and 4.68% were pre-registered. None of the studies provided analysis scripts. Our review is cross-sectional in nature, including only PubMed indexed journals-published in English-and within a finite time period. Thus, our results should be interpreted in light of these considerations.
Conclusion: Current urology research does not consistently provide the components needed to reproduce original studies. Collaborative efforts from investigators and journal editors are needed to improve research quality while minimizing waste and patient risk.
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http://dx.doi.org/10.1186/s12894-022-01059-8 | DOI Listing |
Sports Biomech
January 2025
Sport Sciences, Aix-Marseille Univ, Université de Toulon, CNRS, Institut Paoli-Calmettes, HIPE Human Lab, Marseille, France.
This study investigated the relationships between performance and force-velocity (F-v) parameters obtained from a ballistic lower limb (BLL) and a 30-m sprint test in 24 adolescent elite footballers (13.2-15.1 years old).
View Article and Find Full Text PDFFront Sociol
January 2025
Fudan Institute for Advanced Study in Social Sciences, Fudan University, Shanghai, China.
Objectives: The SF-12 version 2 is a survey instrument for collecting data on subjective health. The US-based scoring method is the recommended standard for measuring subjective health with data collected with this instrument. The inadequacy of the US-based scoring method of the SF-12 version 2 instrument for non-US populations is widely documented.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.
View Article and Find Full Text PDFForensic Sci Med Pathol
January 2025
Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Mushroom poisoning incidents happen infrequently, yet owing to the non-lethal nature of most toxins and the efficacy of timely treatment, fatalities from mushroom poisoning are uncommon, leading to a scarcity of pertinent clinical and pathological data. Here, we reported a case of death caused by the consumption of raw mushrooms, alongside detailed clinical data and multi-organs pathological alterations, which underscored its potential significant reference value in forensic practice. Futhermore, ibotenic acid, a type of mushroom toxin, was detected both in the patient's blood and gastric lavage fluid about 19 h after the consumption of mushrooms, and was successfully quantified at concentrations of 0.
View Article and Find Full Text PDFInsights Imaging
January 2025
Institute of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), Zurich, Switzerland.
Objectives: To determine whether deep learning-based reconstructions of zero-echo-time (ZTE-DL) sequences enhance image quality and bone visualization in cervical spine MRI compared to traditional zero-echo-time (ZTE) techniques, and to assess the added value of ZTE-DL sequences alongside standard cervical spine MRI for comprehensive pathology evaluation.
Methods: In this retrospective study, 52 patients underwent cervical spine MRI using ZTE, ZTE-DL, and T2-weighted 3D sequences on a 1.5-Tesla scanner.
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