Medical ethic and publication ethic was more and more and important with the development of trial registration and systematic review registration promoted by the World Health Organization and the Cochrane Collaboration. Chinese Trial Registration and Publication Collaboration (ChiCTRPC) published the first statement to implement trial registration in China. We suggested that trial registration should be combined with ethic review and described the new definition of publication ethic in the second meeting by ChiCTRPC in 2010. In the the third meeting of ChiCTRPC in 2011, Experts from many fields communicated adequately and reached consensus. We summarized the experiences and lessons in the 5 years after the first statement of ChiCTRPC was published. Based on the latest progress of research ethic, publication ethic, trial registration, and systematic review registration, we drafted this explanation document for the second statement of ChiCTRPC to realize good research practice (RGP), good publication practice (GPP), and good translation practice (GTP) by implementing research ethic and publication ethic.
In recent years, 3D-printed porous titanium scaffold has become a focus of research in bone defect repair due to their controllable pore structure and good biocompatibility. Its main strategies include pore design to optimize mechanics and bone ingrowth, surface functionalization modification to enhance osseointegration and anti-infection ability, and loading of bioactive molecules to achieve temporal release and promote vascular osteogenic coupling. Individualized precise reconstruction is gradually being carried out in clinical applications, but long-term safety, manufacturing accuracy, and cost-effectiveness remain challenges. This article reviews the research progress of 3D-printed porous titanium scaffold in bone defect repair, summarizes their application advantages and limitations, and looks forward to directions such as intelligent coatings, immune regulation, and artificial intelligence, in order to provide a reference for their clinical translation.
The translation and translation regulation of RNA in eukaryotic cells have a significant impact on cellular gene expression and maintenance of proteomic homeostasis. Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that affects upper and lower motor neurons and leads to muscle weakness and atrophy. More and more studies have found RNA translation abnormalities in ALS. This article provides an overview of RNA translation and regulation in eukaryotic cells under physiological and stress conditions, and explores the relationship between four different ALS-related genes and translation abnormalities, providing new ideas for the treatment of ALS.
The Clearinghouse plays an important role in knowledge translation in western developed countries. It consistently provides the latest evidence to target customers according to its strict criteria in the specific fields. Clearinghouse is objectively and scientifically designed to assess the scientific nature and the practical applicability of evidence to provide the best current evidence to different service practitioners. It emphasizes much on the process from "knowledge production" to "knowledge utilization", which effectively fills the gap between scientific research and practice. It will play an increasing important role in the knowledge translation in the future. This article specifically introduces its history of development, characteristics and application and sets the construction of Chinese Clearinghouse for Evidence Translation in Child & Aging Health (CCET) as an example, fully elaborating the application status of Clearinghouse and providing assistance for evidence informed decision making.
This article illustrates the development, current status and future prospects of knowledge translation. Its importance and necessity are introduced and some measurements or approaches to promote knowledge translation are discussed.
Testing Treatments is a book to help the public understand how to validate the efficacy of testing treatments and the possible bias and error in clinical trial, as well as to call for help to promote good study thus to improve the quality of health care. No matter for the first or the second edition, this book is very popular around the world, and its second edition has been translated into more than ten languages. To help the readers understand the content of the book, we established a website (www.testingtreatments.org) and other sibling sites in different languages. The website not only provided the full-texts to download, but also collected various popular science resources (videos, audios and cartoons) to help the readers assimilate more knowledge. The editors of all the different language websites have established an TTi Editorial Alliance to share experience and provide each other with mutual support, thus to promote health professionals, patients and public around the world to use reliable research to inform their health decisions.
Brain–computer interface (BCI) technology faces structural risks due to a misalignment between its technological maturity and industrialization expectations. This study used the Technology Readiness Level (TRL) framework to assess the status of major BCI paradigms—such as steady-state visual evoked potential (SSVEP), motor imagery, and P300—and found that they predominantly remained at TRL4 to TRL6, with few stable applications reaching TRL9. The analysis identified four interrelated sources of bubble risk: overly broad definitions of BCI, excessive focus on decoding performance, asynchronous translational progress, and imprecise terminology usage. These distortions have contributed to the misallocation of research resources and public misunderstanding. To foster the sustainable development of BCI, this paper advocated the establishment of a standardized TRL evaluation system, clearer terminological boundaries, stronger support for fundamental research, enhanced ethical oversight, and the implementation of inclusive and diversified governance mechanisms.
As evidence-based practice (EBP) continues to be valued, the guideline implementation has become an important field for research and practice in health care. In order to better guide the guideline implementation in the field of health care, this paper combines the EBP experience gained from several EBP programs carried out in our hospital those years, in aim of exploring and sharing the methodology of guideline implementation in domestic clinical settings.
Knowledge translation (KT) provides a paradigm to bridge the gap between knowledge and practice, which has critical instructive significance for health promotion. This article expounds on the connotation of KT by comparing it with similar terms. Next, it introduces three kinds of common KT theoretical models, including process models, determinant frameworks, and evaluation frameworks. Finally, its application and experiences in health promotion are summarized to provide references for the ongoing health promotion in China.
To address the issues of difficulty in preserving anatomical structures, low realism of generated images, and loss of high-frequency image information in medical image cross-modal translation, this paper proposes a medical image cross-modal translation method based on diffusion generative adversarial networks. First, an unsupervised translation module is used to convert magnetic resonance imaging (MRI) into pseudo-computed tomography (CT) images. Subsequently, a nonlinear frequency decomposition module is used to extract high-frequency CT images. Finally, the pseudo-CT image is input into the forward process, while the high-frequency CT image as a conditional input is used to guide the reverse process to generate the final CT image. The proposed model is evaluated on the SynthRAD2023 dataset, which is used for CT image generation for radiotherapy planning. The generated brain CT images achieve a Fréchet Inception Distance (FID) score of 33.159 7, a structure similarity index measure (SSIM) of 89.84%, a peak signal-to-noise ratio (PSNR) of 35.596 5 dB, and a mean squared error (MSE) of 17.873 9. The generated pelvic CT images yield an FID score of 33.951 6, a structural similarity index of 91.30%, a PSNR of 34.870 7 dB, and an MSE of 17.465 8. Experimental results show that the proposed model generates highly realistic CT images while preserving anatomical accuracy as much as possible. The transformed CT images can be effectively used in radiotherapy planning, further enhancing diagnostic efficiency.