To evaluate the clinical applicability and application of Guidelines for Diagnosis and Treatment of Common Diseases of Gynecology in Traditional Chinese Medicine, 11 diseases from Guidelines for Diagnosis and Treatment of Common Diseases of Gynecology in Traditional Chinese Medicine were evaluated by methods of questionnaire and prospective case study at 16 construction units for traditional Chinese medicine standards research and extension. Results showed that 361 clinical doctors accepted the applicability survey of guidelines, and 87.26% of them were more familiar to the guideline and 25.21% of them used the guideline. In syndrome differentiation and treatment related contents, rationality of prescription medication and syndrome classification was higher, accounted for 91.69% and 86.98% respectively, but the rationality of recuperation prevention was lower, accounted for 44.6%. 75.62% clinical doctors believed that the Guidelines for Diagnosis and Treatment of Common Diseases of Gynecology in Traditional Chinese Medicine was applicable. The application of the guidelines is evaluated by prospective observation of 2 935 cases. The higher compliance between the guideline and clinical practice was present in TCM (traditional Chinese medicine) disease diagnosis and WM (western medicine) disease diagnosis, accounted for 98.30% and 94.11% respectively. The lower compliance was present in recuperation prevention, accounted for 59.39%. The safety and economy of the guideline was higher, accounting for 95.64%, 94.75%, respectively. The comprehensive evaluation results showed that the rate of the overall treatment effect with technical level, satisfaction degree or applicability in clinical practice which were 7-9 points is 77.38%, 74.00%, 76.90% respectively. This guideline has a high clinical compliance and can be used as a standard for common diseases of gynecology, but there are also some conditions with poor applicability, which does not conform to the actual situation, and needs to be further revised.
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http://dx.doi.org/10.19540/j.cnki.cjcmm.20170623.005 | DOI Listing |
J Cancer Res Ther
December 2024
Department of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu Province, People's Republic of China.
Background: To evaluate the association of demographic and clinicopathological characteristics with the survival of patients with testicular mixed teratoma and seminoma (TMTS).
Methods: The data of 3296 eligible patients with TMTS who underwent surgery between 2010 and 2015 were obtained from the Surveillance, Epidemiology, and End Results database. Overall survival (OS) and cancer-specific survival (CSS) were determined using the Kaplan-Meier survival curves.
JAMA Netw Open
January 2025
National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Importance: Sleep disorders and mild cognitive impairment (MCI) commonly coexist in older adults, increasing their risk of developing dementia. Long-term tai chi chuan has been proven to improve sleep quality in older adults. However, their adherence to extended training regimens can be challenging.
View Article and Find Full Text PDFChin J Integr Med
January 2025
Department of Oriental Neuropsychiatry, Dong-Eui University College of Korean Medicine, Busan, Republic of Korea.
Objective: Traditional medicine (TM) has played a key role in the health care system of East Asian countries, including China, Japan and South Korea. This bibliometric study analyzes the recent research status of these three TMs, including traditional Chinese medicine (TCM), traditional Korean medicine (TKM), and Kampo medicine (KM).
Methods: Research topics of studies published for recent 10 years (2014 to 2023), through a search on MEDLINE via PubMed, was analyzed.
Chin J Integr Med
January 2025
Department of Pain, the Second People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, 350003, China.
Insights Imaging
January 2025
Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Introduction: A large number of middle-aged and elderly patients have an insufficient understanding of osteoporosis and its harm. This study aimed to establish and validate a convolutional neural network (CNN) model based on unenhanced chest computed tomography (CT) images of the vertebral body and skeletal muscle for opportunistic screening in patients with osteoporosis.
Materials And Methods: Our team retrospectively collected clinical information from participants who underwent unenhanced chest CT and dual-energy X-ray absorptiometry (DXA) examinations between January 1, 2022, and December 31, 2022, at four hospitals.
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