Clinical Effectiveness and Safety of Chinese Herbal Medicine Compound Kushen Injection as an Add-On Treatment for Breast Cancer: A Systematic Review and Meta-Analysis

Objective. To systematically evaluate the effect and safety of compound Kushen injection (CKI) as an add-on treatment on the treatment for breast cancer. Methods. We searched eight major electronic databases from their inception to November 1, 2021, for randomized clinical trials (RCTs) comparing CKI plus chemotherapy with chemotherapy alone. Primary outcomes included objective response rate (ORR) and disease control rate (DCR), health-related quality of life (HRQoL), progression-free survival (PFS), and overall survival (OS). Secondary outcomes included adverse drug reactions (ADRs) and tumor marker level. We used Cochrane’s RevMan 5.3 for data analysis. The GRADEpro was used to appraise the certainty of evidence. Trial sequential analysis (TSA) was applied to estimate the required sample size in a meta-analysis and test the robustness of the current results. Results. Thirty RCTs with 2556 participants were totally included. CKI plus chemotherapy showed significant effects in increasing ORR (RR 1.30, 95%CI [1.18, 1.43], I2 = 27%, n = 1694), increasing DCR (RR 1.21, 95%CI [1.15, 1.28], I2 = 16%, n = 1627), increasing HRQol as measured by Karnofsky Performance Scale (KPS) score improvement rate (RR 1.42, 95% CI [1.26, 1.61], I2 = 37%, n = 1172), increasing the PFS (MD 2.24 months, 95%CI [1.26, 3.22], n = 94) and the OS (MD 2.24 months, 95%CI [1.45, 3.43], n = 94), compared to chemotherapy alone. The results showed that CKI plus chemotherapy had a lower risk of ADRs than that of chemotherapy alone group. The certainty of evidence of the included trials was generally low to very low. TSA for ORR and KPS score improvement rate demonstrated that the current results reached a sufficient power regarding both numbers of trials and participants. Conclusions. Low certainty of evidence suggested that the combination of CKI and conventional chemotherapy appeared to improve ORR, DCR, and KPS score in breast cancer patients. Conclusions about PFS and OS could not be drawn due to lack of evidence. Additionally, CKI appeared to relieve the risk of ADRs in patients with breast cancer receiving chemotherapies. However, due to weak evidence, the findings should be further confirmed in large and rigorous trials.

IMPROVING ENGLISH VOCABULARY MASTERY THROUGH TALKING STICK STRATEGY AT THE TENTH GRADE STUDENTS OF SMA NEGERI 1 KASIMBAR

Students usually feel bored in vocabulary lesson because they have less vocabulary and the teacher used same strategy in every meeting. In learning vocabulary, it is important used attractive strategy in order to the students interest to learn vocabulary. This research focuses on the using of talking stick strategy to the tenth grade students’ vocabulary mastery at SMA Negeri 1 Kasimbar. The researcher applied quasi experimental research design and need pre-test and post-test to both experimental and control class. The pre-test was to know the level of students’ vocabulary mastery ability before giving treatment while the post-test was used to know the result after giving treatment. There was a significant difference score of the post-test of the experimental class (696,64) and the control class (516,66). The level of significance was set up 0,05 with 18 degree of freedom ( (df) = Nx + Ny – 2 = 10 + 10 – 2). The result of data analysis indicates that tcounted (2,573) which was higher than ttable (2,153),it means that the hypothesis of the research was accepted. Thus, there was significant score improvement of using talking stick strategy to the tenth grade students at SMA Negeri 1 Kasimbar.

Dissatisfaction Risk Factors of Patients after Laminectomy for Thoracic Ossification of Ligamentum Flavum: A Retrospective Cohort Study of Different Follow-Up Periods

Objectives. To explore the influencing factors of satisfaction with postoperative treatment in patients diagnosed with thoracic ossification of the ligamentum flavum during different follow-up periods. Methods. This was a retrospective study of 57 patients who were diagnosed with thoracic ossification of ligamentum flavum (TOLF) and treated with laminectomy in the Spine Surgery Department of the Third Hospital of Hebei Medical University from January 2010 to January 2017. The Patient Satisfaction Index (PSI) was collected at discharge and at 6-month, 1-year, and the last follow-up. According to the evaluation results, the patients could be divided into a satisfied group and a dissatisfied group. The patient’s Japanese Orthopaedic Association (JOA) score improvement rate was evaluated at the last follow-up. Possible influencing factors of the two groups of patients were compared and the related influencing factors of satisfaction with postoperative treatment in patients during different follow-up periods were summarized. Results. At the time of discharge, the dissatisfied and satisfied groups had significant differences in variables of diabetes mellitus, duration of preoperative symptoms, urination disorder, intramedullary signal change on MRI, dural ossification, residual rate of cross-sectional spinal canal area on CT, shape on the sagittal MRI, hospital stay, hospitalization expenses, postoperative pain in LE VAS, delayed wound healing, postoperative depression, and intercostal pain ( P < 0.05 ). There were also significant differences in urination disorder, postoperative pain according to the LE VAS, JOA score, and postoperative depression during the 6-month follow-up ( P < 0.05 ). There were no significant differences in other variables between the two groups ( P > 0.05 ). One year after the operation, there were significant differences between the dissatisfied group and the satisfied group in urination disorder, JOA score, and symptom recurrence ( P < 0.05 ). There were also significant differences in the JOA score and symptom recurrence at the final follow-up ( P < 0.05 ). For further analysis, the duration of preoperative symptoms in the satisfied group was less than 24 months and the duration of preoperative symptoms in the dissatisfied group was more than 24 months. The JOA scores of patients in the satisfied group and the dissatisfied group increased gradually with the improvement of neurological function in different follow-up periods, but, at the last follow-up, the JOA scores of patients in the satisfied group were significantly higher than those in the dissatisfied group. Conclusions. In conclusion, for thoracic ossification of ligamentum flavum patients who received laminectomy, dissatisfaction with the early and medium-term postoperative results may be related to diabetes, the duration of preoperative symptoms, hospitalization expenses, delayed wound healing, intercostal pain, and urination disorder, and dissatisfaction with the long-term postoperative results might be related to the low JOA score improvement rate and symptom recurrence.

Drug Knowledge Extraction Framework with Entity Pair Calibration for Chinese Drug Instructions

Existing pharmaceutical information extraction research often focus on standalone entity or relationship identification tasks over drug instructions. There is a lack of a holistic solution for drug knowledge extraction. Moreover, current methods perform poorly in extracting fine-grained interaction relations from drug instructions. To solve these problems, this paper proposes an information extraction framework for drug instructions. The framework proposes deep learning models with fine-tuned pre-training models for entity recognition and relation extraction, in addition, it incorporates an novel entity pair calibration process to promote the performance for fine-grained relation extraction. The framework experiments on more than 60k Chinese drug description sentences from 4000 drug instructions. Empirical results show that the framework can successfully identify drug related entities (F1 >= 0.95) and their relations (F1 >= 0.83) from the realistic dataset, and the entity pair calibration plays an important role (~5% F1 score improvement) in extracting fine-grained relations.

Multidisciplinary approach of teaching radiology to medical students in Egypt: Is this an effective method?

Background In multidisciplinary education, different perspectives from more than one discipline are used to illustrate a certain topic. The aim of this study was to evaluate the effectiveness of an online, multidisciplinary radiology curriculum to teach radiology to medical students in Egypt. A multidisciplinary team of radiologists, surgeons, and internists taught a series of 5 case-based radiology sessions on a web conference platform. Topics included common clinical case scenarios for various body systems. Undergraduate medical students across Egypt were enrolled in the course. A pre-test–post-test design was used to evaluate the efficacy of each session. Upon course completion, students filled out a subjective survey to assess the radiology education series. Results On average, 1000 students attended each session. For each session, an average of 734 students completed both the pre-test and post-test. There was a statistically significant increase in post-test scores compared to pre-test scores across all 5 sessions (p < 0.001) with an overall average score improvement of 63%. A subjective survey at the end of the course was completed by 1027 students. Over 96% of students found the lecture series to be a worthwhile experience that increased their imaging knowledge and interest in radiology, and that the use of a multidisciplinary approach added educational value. About 66% of students also reported that the session topics were “excellent and clinically important.” There was a marked increase in reported confidence levels in radiology competencies before and after attendance of the sessions. Conclusions An online radiology curriculum with a multidisciplinary approach can be implemented successfully to reach a large group of medical students and meet their educational objectives.

Gut Microbiota and Mycobiota Evolution Is Linked to Memory Improvement after Bariatric Surgery in Obese Patients: A Pilot Study

Patients with obesity are known to exhibit gut microbiota dysbiosis and memory deficits. Bariatric surgery (BS) is currently the most efficient anti-obesity treatment and may improve both gut dysbiosis and cognition. However, no study has investigated association between changes of gut microbiota and cognitive function after BS. We prospectively evaluated 13 obese patients on anthropometric data, memory functions, and gut microbiota-mycobiota before and six months after BS. The Rey Auditory Verbal Learning Test (AVLT) and the symbol span (SS) of the Weschler Memory Scale were used to assess verbal and working memory, respectively. Fecal microbiota and mycobiota were longitudinally analyzed by 16S and ITS2 rRNA sequencing respectively. AVLT and SS scores were significantly improved after BS (AVLT scores: 9.7 ± 1.7 vs. 11.2 ± 1.9, p = 0.02, and SS scores: 9.7 ± 23.0 vs. 11.6 ± 2.9, p = 0.05). An increase in bacterial alpha-diversity, and Ruminococcaceae, Prevotella, Agaricus, Rhodotorula, Dipodascus, Malassezia, and Mucor were significantly associated with AVLT score improvement after BS, while an increase in Prevotella and a decrease in Clostridium, Akkermansia, Dipodascus and Candida were linked to SS scores improvement. We identified several changes in the microbial communities that differ according to the improvement of either the verbal or working memories, suggesting a complex gut-brain-axis that evolves after BS.

Prevalence of Restless Legs Syndrome and its Symptoms among Patients with Spinal Disorders

Restless legs syndrome (RLS) is a neurological disorder that causes uncomfortable sensations in the legs. The purpose of this study was to evaluate the symptoms of RLS in patients with spinal disorders and the impact of RLS on the clinical outcomes of lumbar spinal stenosis (LSS). The records of 278 patients (age range 65–92 years) with spinal disorders who visited our outpatient clinic were reviewed. We used a survey to identify subjects with RLS based on the International RLS Study Group diagnostic criteria. We further recorded patient characteristics, surgical outcomes, sleeping time, mental health condition, and the occurrence of leg cramps. Thirty-two patients (11.5%) met the criteria for RLS. The prevalence of anxiety (46.9% vs. 26.6%, p = 0.023) and leg cramps (90.6% vs. 73.2%, p = 0.030) was higher in patients with RLS than in those without. RLS was present in 12.3% of LSS patients. The visual analog scale score for lower back pain before surgery and at the final follow-up was significantly higher in LSS patients with RLS than in those without. However, the Japanese Orthopaedic Association (JOA) score, JOA score improvement ratio, and VAS score for leg numbness were not significantly different between the groups.

Investigation of Improving The Pre-Training And Fine-Tuning of BERT Model For Biomedical Relation Extraction

Background: Recently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature. Since the adaptation to the biomedical domain, the transformer-based BERT models have produced leading results on many biomedical natural language processing tasks. In this work, we will explore the approaches to improve the BERT model for relation extraction tasks in both the pre-training and fine-tuning stages of its applications. In the pre-training stage, we add another level of BERT adaptation on sub-domain data to bridge the gap between domain knowledge and task-specific knowledge. Also, we propose methods to incorporate the ignored knowledge in the last layer of BERT to improve its fine-tuning. Results: The experiment results demonstrate that our approaches for pre-training and fine-tuning can improve the BERT model performance. After combining the two proposed techniques, our approach outperforms the original BERT models with averaged F1 score improvement of 2.1% on relation extraction tasks. Moreover, our approach achieves state-of-the-art performance on three relation extraction benchmark datasets. Conclusions: The extra pre-training step on sub-domain data can help the BERT model generalization on specific tasks, and our proposed fine-tuning mechanism could utilize the knowledge in the last layer of BERT to boost the model performance. Furthermore, the combination of these two approaches further improves the performance of BERT model on the relation extraction tasks.

Research on Interactive Art Online Teaching System Based on BS Mode and Internet of Things

Traditional online art teaching system has problems such as poor score improvement and low system throughput. Therefore, this paper designs an interactive online art teaching system based on BS mode and IoT. Design the overall structure of the art teaching system according to THE B/S structure, build the interactive art online teaching model according to the system role use cases, introduce the RFID technology in the Internet of Things to control the information transmission of the interactive art online teaching system, and complete the code development of interactive art online teaching function. Complete the interactive art online teaching system based on BS mode and the Internet of Things. The experimental results show that the designed system can improve the scores of students in art colleges and improve the throughput of the system.

Clinical-Diffusion Mismatch Is Associated with Early Neurological Improvement after Late-Window Endovascular Treatment

<b><i>Background:</i></b> Clinical-diffusion mismatch (CDM) and perfusion-diffusion mismatch (PDM) are used to select patients for endovascular thrombectomy (EVT) in the late-window period. As CDM well reflects true penumbra, we hypothesized that patients with CDM and PDM would respond better to EVT than those with PDM only at the late-window period. <b><i>Methods:</i></b> Acute ischemic stroke patients who received EVT 6–24 h after stroke onset were included. PDM (perfusion-/diffusion-weighted image (DWI) lesion volume &#x3e;1.8) was used to select candidates for EVT in this time-period in our center. CDM was defined according to the DAWN trial criteria. Response to EVT was compared between patients with and without CDM. Early neurological improvement (ENI) was defined as improvement &#x3e;4 points on National Institutes of Health Stroke Scale (NIHSS) score 1 day after EVT. Multivariable analysis was performed to investigate independent factors associated with ENI. The correlation between DWI lesion volume and NIHSS score was investigated in those with and without CDM. <b><i>Results:</i></b> Among 94 patients enrolled, all patients had PDM and 44 (46.3%) had CDM. Forty-eight patients (51.1%) showed ENI. The prevalence of hypertension, initial NIHSS score, improvement in NIHSS score after EVT, and prevalence of ENI were greater in patients with CDM than those without. ENI was independently associated with onset-to-door time (odds ratio [95% confidence interval]: 0.998 [0.997–1.000]; <i>p</i> = 0.042), complete recanalization (23.912 [2.238–255.489]; <i>p</i> = 0.009), initial NIHSS score (1.180 [1.012–1.377]; <i>p</i> = 0.034), and the presence of CDM (5.160 [1.448–18.386]; <i>p</i> = 0.011). The correlation between DWI lesion volume and initial NIHSS score was strong in patients without CDM (<i>r</i> = 0.731) but only moderate in patients with CDM (<i>r</i> = 0.355). <b><i>Conclusion:</i></b> Patients with both CDM and PDM had a better response to late-window EVT than those with PDM only.