16 research outputs found

    Analysis on the existing problems and improving approaches to the clinical research talents team cultivation in China

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    Objective·To investigate the current situation and problems of the construction of clinical research talents team in China, and propose targeted improvement strategies.Methods·Self-designed questionnaires were made after literature review, expert interviews and two rounds of Delphi. An online questionnaire survey was conducted on 583 clinical research-related personnel from hospitals, biomedical enterprises, medical colleges and government departments in 27 provinces, cities and autonomous regions, and the survey results were analyzed.Results·A total of 583 questionnaires were collected, 579 of which were valid, with an effective rate of 99.3%. The research results showed that: ① The lack of clinical research talents and the poor development environment of talents were the key factors restricting the high-level clinical research in China. ② Among the respondents, 72.7% of them were dissatisfied (very dissatisfied, dissatisfied and average) with the current training of clinical research talents. The main problems included lack of high-level research talents and a professional support team; the current performance evaluation system was monotonous, the salary and incentive were not profitable for clinical research, and medical personnel engaged in clinical research and support staff lacked promotion channels, etc. ③ The improvement strategies included systematically improving the clinical research ability of medical personnel, improving the clinical research training curriculum system, adopting different training methods in the school education stage and in-service education stage, and attaching more importance to the two teams′ training, clinical research physicians and clinical research methodology professionals.Conclusion·Currently, it is urgent to expand the number of excellent medical students and improve the courses of clinical research methodology and relevant laws and regulations, encourage experienced research-oriented doctors to guide new staff in research projects, systematically improve the scientific research ability of current medical personnel, pay more attention to training of standardized implementation of clinical research projects, topic selection design and others, gather a high-level team of composite clinical research medical personnel, increase the amount of professionals in clinical research methodology, further attach importance to clinical research, and improve the development environment of clinical research talents from the aspects of professional title promotion, salary, scientific research evaluation, etc, so as to improve the level of clinical research in China

    CCND1 as a Predictive Biomarker of Neoadjuvant Chemotherapy in Patients with Locally Advanced Head and Neck Squamous Cell Carcinoma

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    BACKGROUND: Cyclin D1 (CCND1) has been associated with chemotherapy resistance and poor prognosis. In this study, we tested the hypothesis that CCND1 expression determines response and clinical outcomes in locally advanced head and neck squamous cell carcinoma (HNSCC) patients treated with neoadjuvant chemotherapy followed by surgery and radiotherapy. METHODOLOGY AND FINDINGS: 224 patients with HNSCC were treated with either cisplatin-based chemotherapy followed by surgery and radiotherapy (neoadjuvant group, n = 100) or surgery and radiotherapy (non-neoadjuvant group, n = 124). CCND1 expression was assessed by immunohistochemistry. CCND1 levels were analyzed with chemotherapy response, disease-free survival (DFS) and overall survival (OS). There was no significant difference between the neoadjuvant group and non-neoadjuvant group in DFS and OS (p = 0.929 and p = 0.760) when patients treated with the indiscriminate administration of cisplatin-based chemotherapy. However, in the neoadjuvant group, patients whose tumors showed a low CCND1 expression more likely respond to chemotherapy (p<0.001) and had a significantly better OS and DFS than those whose tumors showed a high CCND1 expression (73% vs 8%, p<0.001; 63% vs 6%, p<0.001). Importantly, patients with a low CCND1 expression in neoadjuvant group received more survival benefits than those in non-neoadjuvant group (p = 0.016), however patients with a high CCND1 expression and treated with neoadjuvant chemotherapy had a significantly poor OS compared to those treated with surgery and radiotherapy (p = 0.032). A multivariate survival analysis also showed CCND1 expression was an independent predictive factor (p<0.001). CONCLUSIONS: This study suggests that some but not all patients with HNSCC may benefit from neoadjuvant chemotherapy with cisplatin-based regimen and CCND1 expression may serve as a predictive biomarker in selecting patients undergo less than two cycles of neoadjuvant chemotherapy

    Study on Risk Assessment of Flash Floods in Hubei Province

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    Flash floods are typically associated with short, high-intensity and extreme rain-storms, and they are characterized by short response time and severely impact and damage communities in different areas in China. In order to scientifically assess the risks of flash floods, this paper takes Hubei Province as an example to carry out risk assessment. Based on Pearson correlation coefficient and principal component analysis methods, 14 factors were selected from 98 factors to establish a risk assessment model. The confidence coefficient model and multi-factor superposition method were used to determine the weight of each risk factor, and a risk map of Hubei Province was finally constructed. The results show that medium-high risk areas in Huanggang account for 47.00%, and high-risk areas account for 8.70%, with both areas adding up to more than 50%, followed by more than 40% in Shiyan, E’zhou and Xianning, and more than 30% in Huangshi, Yichang, Xiangyang, Jingmen and Suizhou. The risk level distribution is highly consistent with the location and frequency of flash flood disasters, shows high reliability, and can provide data support for flash flood disaster prevention and control. This study used a quantitative method to determine the key factors affecting flash flood disasters and provides a reference and basis for flash flood risk assessment in other provinces in China

    Study on Risk Assessment of Flash Floods in Hubei Province

    No full text
    Flash floods are typically associated with short, high-intensity and extreme rain-storms, and they are characterized by short response time and severely impact and damage communities in different areas in China. In order to scientifically assess the risks of flash floods, this paper takes Hubei Province as an example to carry out risk assessment. Based on Pearson correlation coefficient and principal component analysis methods, 14 factors were selected from 98 factors to establish a risk assessment model. The confidence coefficient model and multi-factor superposition method were used to determine the weight of each risk factor, and a risk map of Hubei Province was finally constructed. The results show that medium-high risk areas in Huanggang account for 47.00%, and high-risk areas account for 8.70%, with both areas adding up to more than 50%, followed by more than 40% in Shiyan, E&rsquo;zhou and Xianning, and more than 30% in Huangshi, Yichang, Xiangyang, Jingmen and Suizhou. The risk level distribution is highly consistent with the location and frequency of flash flood disasters, shows high reliability, and can provide data support for flash flood disaster prevention and control. This study used a quantitative method to determine the key factors affecting flash flood disasters and provides a reference and basis for flash flood risk assessment in other provinces in China

    Complete mitochondrial genome of tiger cowrie Cypraea tigris (Linnaeus, 1758)

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    The complete mitochondrial genome of Cypraea tigris from the South China Sea has been determined, which was the first report of complete mitogenome in the superfamily Cypraeoidea. It is 16,177 bp long and consists of 21 tRNA genes, 2 rRNA genes, 13 protein-coding genes (PCGs), and 1 control region. The base composition of C. tigris mitogenome is biased (A, G, T, and C were 28.8, 17.9, 37.1, and 16.3%, respectively) with A + T contents of 58.5%. All of the PCGs use a typical start codon (ATN) and a complete stop codon (TAA or TAG) as normal. The maximum-likelihood tree demonstrated that the Cypraeoidea was closer to the superfamily Tonnoidea, and further clarified the phylogenetic relationships of each superfamily in Littorinimorpha

    Complete mitochondrial genome of Trachycardium flavum (Linnaeus, 1758)

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    The complete mitochondrial genome of Trachycardium flavum from South China Sea was first determined in this study, which is 16,596 bp in length. The base composition of the mitogenome is a less biased (A, G, T, and C was 21.5%, 26.3%, 37.0%, and 15.2%, respectively) with A + T contents of 58%. It consists of 24 tRNA genes, two rRNA genes, and 12 protein-coding genes (PCGs). No typical control region was found in non-coding sequence. Interestingly, ATP8 genes was absence same as most shellfish. Nine PCGs use a special start codon TTG, and the other three genes use a normal initiation codon ATN. Except ND6 use a single base G as the stop codon, the others all end with the normal stop codon TAG. The phylogenetic tree showed that T. flavum was first clustered with Fulvia mutica, Cerastoderma edule, and Acanthocardia tuberculate, which all belong to Cardiidae

    Complete mitochondrial genome of the cockle Anadara antiquata (Linnaeus, 1758)

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    The complete mitochondrial genome of Anadara antiquata was first determined. With a length of 45,454 bp, it consists of 29 tRNA, 2 rRNA, and 17 protein-coding genes (PCGs). The non-coding region was large and atypical around the genome with total 24,162 bp long. The nucleotide composition is significantly biased with AT contents of 62.2%. PCGs have five types of start codon, and terminate with a complete stop codon TAA or TAG. 19 microsatellites (SSRs) were identified in mitogenome sequences. Phylogenetic analysis demonstrated that A. antiquata was first clustered with Anadara vellicate, then together with Tegillarca granosa
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