Prescription checking is becoming increasingly prevalent in medical institutions. However, the prescription-checking ability of pharmacists requires improvement. The study aim was to explore the main aspects of prescription-checking training and provide an empirical reference for the training of pharmacists in medical institutions.
 
  Participants were pharmacists willing to complete a Likert questionnaire. Descriptive statistics were used to examine percentages and composition ratios. The chi-square test and exploratory factor analysis were used for inferential analysis.
 
  The questionnaire showed good internal consistency reliability and validity. A total of 90% of participants were satisfied with the training.  https://www.selleckchem.com/products/purmorphamine.html  Exploratory factor analysis extracted three satisfaction dimensions training organization, teaching method, and knowledge consolidation and assessment. The average examination score for the 20 courses was 89.21/100. Regarding trainee needs, 94.66% preferred face-to-face lectures, 89.33% expected high professional skills of the lecturers and 62.67% believed that clinical expertise was highly desirable.
 
  There was a high demand for prescription-checking training among pharmacists. Trainees in this study showed high satisfaction. The most important aspects of prescription-checking training were training organization and knowledge consolidation and assessment. It is recommended that training should be stratified. Pharmacists preferred face-to-face and interactive lectures as a supplement to clinical knowledge.
 There was a high demand for prescription-checking training among pharmacists. Trainees in this study showed high satisfaction. The most important aspects of prescription-checking training were training organization and knowledge consolidation and assessment. It is recommended that training should be stratified. Pharmacists preferred face-to-face and interactive lectures as a supplement to clinical knowledge.This case report describes a 43-year-old female initially diagnosed with gestational trophoblastic neoplasia that then experienced metastasis to the liver and then subsequently to the pancreas nearly 4 years after the primary diagnosis. After resection of the body and tail of the pancreas, the postoperative histopathological examination confirmed a placental site trophoblastic tumour that had developed after several cycles of chemotherapy for the original primary tumour and the liver metastases. This type of sequential recurrence of gestational trophoblastic neoplasia in the primary site or metastatic sites, such as the liver or pancreas, can be cured by a comprehensive treatment strategy involving surgery and/or salvage chemotherapy and continuous follow-up over a long period, especially for patients with a high-risk status.Lymphoma is the most complicated cancer that can be divided into several tens of subtypes. It may occur in any part of body that has lymphocytes, and is closely correlated with diverse environmental factors such as the ionizing radiation, chemocarcinogenesis, and virus infection. All the environmental factors affect the lymphoma through genes. Identifying pathogenic genes for lymphoma is consequently an essential task to understand its complexity in a unified framework. In this paper, we propose a new method to expose high-confident edges in gene regulatory networks (GRNs) for a total of 32 organs, called Filtered GRNs (f-GRNs), comparison of which gives us a proper reference for the Lymphoma, i.e. the B-lymphocytes cells, whose f-GRN is closest with that for the Lymphoma. By using the Gene Ontology and Biological Process analysis we display the differences of the two networks' hubs in biological functions. Matching with the Genecards shows that most of the hubs take part in the genetic information transmission and expression, except a specific gene of Retinoic Acid Receptor Alpha (RARA) that encodes the retinoic acid receptor. In the lymphoma, the genes in the RARA ego-network are involved in two cancer pathways, and the RARA is present only in these cancer pathways. For the lymphoid B cells, however, the genes in the RARA ego-network do not participate in cancer-related pathways.The risk of a gonadal tumor is high in testicular disorder of sexual development (DSD) with the Y chromosome, but cases of DSD without the Y chromosome are extremely rare. We reported a gonadal tumor in a phenotypically male individual with 46, XX testicular DSD. A testicular tumor was incidentally found in a 32-year-old phenotypic male who was presented to the hospital with male infertility. A diagnosis of 46, XX testicular DSD was made by the presentation of karyotype analysis of 46, XX with the sex-determining region of the Y chromosome (SRY) positive and gonadal tissue without female gonads. Surgery was performed due to a gradually growing tumor. The partial orchidectomy was performed with the diagnosis of a benign Leydig cell tumor in frozen biopsy.The diagnosis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection relies on the detection of viral RNA by real-time reverse transcription polymerase chain reaction (rRT-PCR) performed with respiratory specimens, especially nasopharyngeal swabs. However, this procedure requires specialized medical personnel, centralized laboratory facilities, and time to provide results (from several hours up to 1 d). In addition, there is a non-negligible risk of viral transmission for the operator who performs the procedure. For these reasons, several studies have suggested the use of other body fluids, including saliva, for the detection of SARS-CoV-2. The use of saliva as a diagnostic specimen has numerous advantages it is easily self-collected by the patient with almost no discomfort, it does not require specialized health care personnel for its management, and it reduces the risks for the operator. In the past few months, several scientific papers, media, and companies have announced the development protein in the saliva within a few minutes.Background Alterations in serum creatinine levels delay the identification of severe cardiac surgery-associated acute kidney injury. To provide timely diagnosis, novel predictive tools should be investigated. Methods and Results This prospective observational study consists of a screening cohort (n=204) and a validation cohort (n=198) from 2 centers from our hospital. Thirty-two inflammatory cytokines were measured via a multiplex cytokine assay. Least absolute shrinkage and selection operator regression was conducted to select the cytokine signatures of severe cardiac surgery-associated acute kidney injury. Afterwards, the significant candidates including interferon-γ, interleukin-16, and MIP-1α (macrophage inflammatory protein-1 alpha) were integrated into the logistic regression model to construct a predictive model. The predictive accuracy of the model was evaluated in these 2 cohorts. The cytokine-based model yielded decent performance in both the screening (C-statistic 0.87, Brier 0.10) and validation cohorts (C-statistic 0.