Development and validation of a multimodal feature fusion prognostic model for lumbar degenerative disease based on machine learning: a study protocol.

INTRODUCTION: Lumbar degenerative disease (LDD) is one of the most common reasons for patients to present with low back pain. Proper evaluation and treatment of patients with LDD are important, which clinicians perform using a variety of predictors for guidance in choosing the most appropriate treatment. Because evidence on which treatment is best for LDD is limited, the purpose of this study is to establish a clinical prediction model based on machine learning (ML) to accurately predict outcomes of patients with LDDs in the early stages by their clinical characteristics and imaging changes. METHODS AND ANALYSIS: In this study, we develop and validate a clinical prognostic model to determine whether patients will experience complications within 6 months after percutaneous endoscopic lumbar discectomy (PELD). Baseline data will be collected from patients' electronic medical records. As of now, we have recruited a total of 580 participants (n=400 for development, n=180 for validation). The study's primary outcome will be the incidence of complications within 6 months after PELD. We will use an ML algorithm and a multiple logistic regression analysis model to screen factors affecting surgical efficacy. We will evaluate the calibration and differentiation performance of the model by the area under the curve. Sensitivity (Sen), specificity, positive predictive value and negative predictive value will be reported in the validation data set, with a target of 80% Sen. The results of this study could better illustrate the performance of the clinical prediction model, ultimately helping both clinicians and patients. ETHICS AND DISSEMINATION: Ethical approval was obtained from the medical ethics committee of the Affiliated Hospital of Gansu University of Traditional Chinese Medicine (Lanzhou, China; No. 2022-57). Findings and related data will be disseminated in peer-reviewed journals, at conferences, and through open scientific frameworks. TRIAL REGISTRATION NUMBER: Chinese Clinical Trial Register (www.chictr.org.cn) No. ChiCTR2200064421.

[Network Meta-analysis of Chinese medicine injections in treatment of rheumatoid arthritis].

This study aims to systematically evaluate the efficacy and safety of Chinese medicine injections in the treatment of rheumatoid arthritis. Specifically, randomized controlled trial(RCT) in the treatment of rheumatoid arthritis with Chinese medicine injections was retrieved from PubMed, EMbase, Cochrane Library, Web of Science, Wanfang, CNKI, VIP, and SinoMed(from inception to February 16, 2022). RevMan 5.3 and Stata 15.0 were employed for data analysis. Finally, 53 RCTs, involving 4 280 patients were included. The experimental groups involved the following injections: including Danshen Chuanxiongqin Injection, Tanshinone Ⅱ_A Sodium Sulfonate Injection, Danhong Injection, Dengzhan Xixin Injection, Gugua Extract Injection, Honghua Injection, Lugua Polypeptide Injection, Lugua Polypeptide Injection + Tanshinone Ⅱ_A Sodium Sulfonate Injection, Shuxuetong Injection, Zhengqing Fengtongning Injection, Compound Danshen Injection, and Xuebijing Injection. The network Meta-analysis showcased the following trends.(1) As for improving total clinical effective rate, the surface under the cumulative ranking curve(SUCRA) followed the order of conventional treatment of western medicine combined with Xuebijing Injection > combined with Gugua Extract Injection > combined with Compound Danshen Injection > combined with Danshen Chuanxiongqin Injection > combined with Honghua Injection > combined with Zhengqing Fengtongning Injection > combined with Danhong Injection > combined with Lugua Polypeptide Injection > combined with Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Dengzhan Xixin Injection.(2) As for improving erythrocyte sedimentation rate(ESR), SUCRA followed the order of conventional treatment of western medicine combined with Xuebijing Injection > combined with Shuxuetong Injection > combined with Honghua Injection > combined with Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Gugua Extract Injection > combined with Danhong Injection > combined with Lugua Polypeptide Injection > combined with Dengzhan Xixin Injection > combined with Lugua Polypeptide Injection + Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Danshen Chuanxiongqin Injection > combined with Zhengqing Fengtongning Injection.(3) As for improving rheumatoid factor(RF), SUCRA followed the order of conventional treatment of western medicine combined with Lugua Polypeptide Injection > combined with Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Lugua Polypeptide Injection + Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Gugua Extract Injection > combined with Danshen Chuanxiongqin Injection > combined with Zhengqing Fengtongning Injection > combined with Danhong Injection > combined with Dengzhan Xixin Injection.(4) As for improving C-reactive protein(CRP), SUCRA followed the order of conventional treatment of western medicine combined with Xuebijing Injection > combined with Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Lugua Polypeptide Injection + Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Honghua Injection > combined with Danshen Chuanxiongqin Injection > combined with Dengzhan Xixin Injection > combined with Gugua Extract Injection > combined with Lugua Polypeptide Injection > combined with Zhengqing Fengtongning Injection > combined with Danhong Injection.(5) As for alleviating morning stiffness, SUCRA followed the order of conventional treatment of western medicine combined with Shuxuetong Injection > combined with Lugua Polypeptide Injection > combined with Dengzhan Xixin Injection > combined with Xuebijing Injection > combined with Gugua Extract Injection > combined with Zhengqing Fengtongning Injection > combined with Danhong Injection > combined with Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Honghua Injection.(6) As for improving disease activity score(DAS28), SUCRA followed the order of conventional treatment of western medicine combined with Lugua Polypeptide Injection + Tanshinone Ⅱ_A Sodium Sulfonate Injection > combined with Lugua Polypeptide Injection > combined with Zhengqing Fengtongning Injection > combined with Honghua Injection > combined with Gugua Extract Injection > combined with Dengzhan Xixin Injection. The experimental groups had lower incidence of adverse reactions than the control group. The results of network Meta-analysis suggest that on the combination of conventional treatment of western medicine with Chinese medicine injections can improve the efficacy on rheumatoid arthritis. However, in view of the great differences in the quality and number of studies included for different therapies, the SUCRA of Chinese medicine injections need to be further verified with high-quality multi-center, large-sample, randomized double-blind trials.

Effects of Baduanjin on postoperative rehabilitation of patients with breast cancer: A protocol for systematic review and meta-analysis.

BACKGROUND: Baduanjin, as an ancient Chinese exercise, is beneficial to both physical and mental health. Moreover, researchers discovered that Baduanjin has effects on the recovery of postoperative breast cancer patients. Yet, nobody focused on the systematic review, which can provide convincing evidence to verify the effect of Baduanjin in breast cancer patients. Therefore, our study will conduct a systematic review to fill in the blank, besides we will offer new evidence for clinical workers. METHODS: PubMed, Embase.com, the Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and SinoMed will be used for literature search, retrieve time is up to June 1, 2021. We will include randomized controlled trials that evaluate the effects of Baduanjin on postoperative rehabilitation for breast cancer patients. Two independent researchers will perform study selection and data extraction. The risk of bias will be assessed by the Cochrane bias assessment tool. We will use funnel plot and Egger test to evaluate publication bias. Stata 13.0, as a necessary software, will be used to perform statistical analysis. Also, we will utilize subgroup analyses and sensitivity analyses to explore the sources of heterogeneity. RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSION: Evidence that adequately assesses the effect of Baduanjin in the recovery of breast cancer patients will be confirmed through this systematic review. Our study will offer a guideline for clinical workers, besides we will supply a new way for the rehabilitation of breast cancer patients.

Compound kushen injection for multiple myeloma: A protocol of systematic review and meta-analysis.

BACKGROUND: Compound kushen injection is increasingly used to treat various cancers. However, its role in the management of multiple myeloma (MM) is still controversial and requires further clarification. The aim of this study is to evaluate efficacy and safety of compound kushen injection for MM through systematic review and meta-analysis. METHODS: We are going to search the 6 electronic databases: PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wangfang and Chinese Biomedical Literature Database. General characteristics and Specific trial characteristics will be collected from the included studies. The outcomes included overall response rate, complete response rate, 3-year progression-free survival rate, 3-year overall survival rate, and different types of treatment-related adverse events. We calculated the risk ratios as well as their 95% confidence intervals of these outcomes and pooled the results through RevMan 5.2 software. DISCUSSION: The results of the study will be submitted to a peer-reviewed journal for publication. ETHICS AND DISSEMINATION: This study is not a clinical study, ethical approval is not required.

Positive and negative regulation of transferred nif genes mediated by indigenous GlnR in Gram-positive Paenibacillus polymyxa.

Ammonia is a major signal that regulates nitrogen fixation in most diazotrophs. Regulation of nitrogen fixation by ammonia in the Gram-negative diazotrophs is well-characterized. In these bacteria, this regulation occurs mainly at the level of nif (nitrogen fixation) gene transcription, which requires a nif-specific activator, NifA. Although Gram-positive and diazotrophic Paenibacilli have been extensively used as a bacterial fertilizer in agriculture, how nitrogen fixation is regulated in response to nitrogen availability in these bacteria remains unclear. An indigenous GlnR and GlnR/TnrA-binding sites in the promoter region of the nif cluster are conserved in these strains, indicating the role of GlnR as a regulator of nitrogen fixation. In this study, we for the first time reveal that GlnR of Paenibacillus polymyxa WLY78 is essentially required for nif gene transcription under nitrogen limitation, whereas both GlnR and glutamine synthetase (GS) encoded by glnA within glnRA operon are required for repressing nif expression under excess nitrogen. Dimerization of GlnR is necessary for binding of GlnR to DNA. GlnR in P. polymyxa WLY78 exists in a mixture of dimers and monomers. The C-terminal region of GlnR monomer is an autoinhibitory domain that prevents GlnR from binding DNA. Two GlnR-biding sites flank the -35/-10 regions of the nif promoter of the nif operon (nifBHDKENXhesAnifV). The GlnR-binding site Ⅰ (located upstream of -35/-10 regions of the nif promoter) is specially required for activating nif transcription, while GlnR-binding siteⅡ (located downstream of -35/-10 regions of the nif promoter) is for repressing nif expression. Under nitrogen limitation, GlnR dimer binds to GlnR-binding siteⅠ in a weak and transient association way and then activates nif transcription. During excess nitrogen, glutamine binds to and feedback inhibits GS by forming the complex FBI-GS. The FBI-GS interacts with the C-terminal domain of GlnR and stabilizes the binding affinity of GlnR to GlnR-binding site Ⅱ and thus represses nif transcription.