Objective To assess the safety and effect of different intravenous chemotherapic regimens in patients with gastric carcinomas who had received gastrectomy. Method A systematic review of all the relevant randomized controlled trials (RCTs) was performed. RCTs were identified from Medline and Embase (1980-2001.4), Chinese Bio-medicine Database (1990-2001.1). Literature references were checked at the same time. We included randomized andquasi-randomized trials in patients with confirmed gastric carcinomas who had received gastrectomy comparing the effect of intravenous chemotherapy after gastrectomy with that of gastrectomy alone.Results Twenty trials involving 4 171 patients were included. Meta-analysis was done with fixed effects model. Heterogeneity analyses was performed also. The effects of intravenous chemotherapy with 5FU + MCCNU, 5FU + MMC, 5FU + BCNU or FAM after gastrectomy were failed to show have better effects than that of surgery alone. There were eleven trials which detailed the side effects according to the toxicity grade by WHO standard. The side effects halting treatment were haematologic and biochemical toxicity, debilitating nausea and vomiting. There were twenty-two patients died of chemotherapic toxicity. Conclusions Based on the review, there is no enough evidence to show that intravenous chemotherapy after gastrectomy have positive treatment effect on gastric cancer.
Objective
To explore the feasibility of breast cancer patients in China with 1–2 positive sentinel lymph nodes (SLN) to avoid axillary lymph node dissection (ALND).
Methods
A total of 328 patients who received sentinel lymph node biopsy (SLNB) in our hospital from 2010 to 2016 were collected retrospectively, and patients met the criteria of Z0011 clinical trials (which required no acceptance of neoadjuvant therapy, clinical tumor size was in T1/T2 stage, two or less positive SLNs were detected, received breast-conservation surgery, acceptance of whole breast radiotherapy after surgery and neoadjuvant systemic treatment) were enrolled to breast-conservation group. Patients met the criteria of Z0011 clinical trials, excepting the surgery (received non-breast-conservation surgery), were enrolled to non- breast-conservation group. Comparison of clinicopathological features between the breast-conservation group/non-breast-conservation group and the Z0011 ALND group was performed.
Results
Among the 328 patients, only 29 patients (8.8%) completely correspond with the results of Z0011 clinical trials. There was no statistical significance between the breast-conservation group and the Z0011 ALND group in the age, clinical T stage, expression of estrogen (ER), expression of progesterone (PR), pathological type, histological grade, number of positive lymph nodes, and incidence of non-sentinel node metastasis (P>0.05). A total of 81 patients were included in the non-breast-conservation group. It showed no statistical significance between the non-breast-conservation group and the Z0011 ALND group in expressions of ER and PR, and histological grade (P>0.05), while there was statistically significant difference in age, clinical T stage, pathological type,number of positive lymph nodes, and incidence of non-sentinel node metastasis (P<0.05). Patients in the non-breast-conservation group showed a lower age, higher percentage of lobular carcinoma and T2 stage, more positive lymph nodes, and high incidence of non-sentinel node metastasis.
Conclusion
It’s feasible for Z0011 clinical trials results to be used in the clinical practice of our country, but the actual situation of breast conservation in our country may lead to low adaptive population.
Clinical trial transparency, include clinical trial registration, unbiased reporting results and sharing individual participant data (IPD), is one of the most important revolutionary concepts following clinical epidemiology and evidence-based medicine in the medical field. Sharing IPD is a medical ethics issue reflected a new sense of worth and constructing new rules of clinical trials. Our viewpoint is that from the essential purpose of clinical research, IPD is a social public property. Sharing IPD is a one of the best ways for respecting the contributions of the participants, and one of the keys for changing face of clinical trials.
The umbrella trial has received increasing attention in the design of clinical trials for oncology drugs in recent years. This trial design categorizes a single disease into multiple sub-types based on predictive biomarkers or other predictive factors, and simultaneously evaluates the efficacy of multiple targeted therapies. When compared with the traditional drug development model of phase Ⅰ, phaseⅡ, and phase Ⅲ randomized controlled trials, umbrella trials are a more scientifically rigorous trial design that can speed up drug evaluation to address the conflict between numerous untested drugs and diseases with a lack of effective treatment options. This article will focus on the concept, main characteristics, eligibility criteria, design and statistical considerations, ethical considerations, and future directions of umbrella trials, with the aim of providing methodological guidance for the design of clinical trials for oncology drugs.
Objective To assess the effectiveness and safety of breviscapine on diabetic nephropathy. Methods All randomized or quasi-randomized controlled trials of breviscapine on diabetic nephropathy were performed. All of the clinical trials were searched from the Cochrane Controlled Trials Registered, Medline, Embase, National Knowledge Infrastructure Database, the Chinese Biological Medicine Database, the Chinese Science and Technology Journal Full-text and the references of all included trials. The selection of studies, assessment of methodological quality and data extraction were performed independently by two reviewers according to predefined inclusion and exclusion criteria. Results Thirty-three clinical trials including 2 322 patients of diabetic nephropathy met the inclusion criteria. But most included trials were of low quality and small sample. Until now, there were no clinical trials with multicentre, large sample and high quality. A “Funnel plot” showed asymmetry, which indicated possible publication bias and low quality in methodology. And publication bias showed that the trials with negative results might not be published. The results of meta-analysis indicated that: 1. Breviscapine showed more effects on the decrease of the 24-hour urinary albumin excretion rate (UAER), 24-hour urinary protein, serum creatinine (Scr), total cholesterol, triglyceride, plasma viscosity and fibrinogen. 2. Breviscapine showed less effect on the decrease of the 24-hour urinary protein when compared to angiotensin-converting enzyme inhibitor, it seemed as same effective as ACEI on decrease of 24-hour urinary albumin excretion rate (UAER), serum creatinine (Scr) and blood urea nitrogen (BUN); 3. Breviscapine showed more effect on the decrease of 24-hour urinary protein and fibrinogen when compared to other Chinese herbal medicine (Salvia miltiorrhiza); 4. Breviscapine showed less effect on decrease of the 24-hour urinary albumin excretion rate (UAER) when compeard to Prostaglandin E1. No significant adverse effects were reported. Conclusion Breviscapine shows some effects and relatively safe on diabetic nephropathy. However, the evidence is not b enough because of some of the low-quality trials and publications bias. Rigorous designs, randomized, double-blind, placebo-controlled trials of Breviscapine for diabetic nephropathy are needed to further assess the effect.
Population pharmacokinetics is a research technique based on computer simulation and data analysis, and it has been employed to investigate the dynamic behavior of drug metabolism in different populations. This approach could address practical challenges such as prolonged clinical trial durations, high costs, and increased difficulty in traditional clinical trials. By comprehensively analyzing differences in the internal drug metabolism processes across populations with varying physiological and pathological conditions, population pharmacokinetics has emerged as an effective method to optimize drug development and clinical applications. This article provides a preliminary overview of the essence of population pharmacokinetics, its application in clinical trials, and potential future trends. We hope to serve as a reference and guidance for the application of new technologies and methods in clinical trials.
Objective To evaluate the clinical efficacy and safety of domestic cefepime in the treatment of acute bacterial lower respiratory tract infection. Methods A randomized, single-blind, controlled clinical trial was performed. The positive control was imported cefepime. The dosages of cefepime were 1g for moderate infection and 2g for severe infection, twice a day intravenously. The duration of the treatment was 7-10 days. Results Thirty-one patients were enrolled in the trial, of whom 30 were evaluable (15 in the triagroup and 15 in the control group). No significant differences were observed between the trial group and the control group with respect to the cure rate (40% vs. 27%), the effective rate (80% vs. 87%), the bacterial clearance rate (92% vs. 100%), and the incidence of adverse drug reactions (12.5% vs. 13%) (Pgt;0.05). Conclusion Domestic cefepime injection is effective and safe in the treatment of acute bacterial lower respiratory tract infection.
Objective To assess the efficacy and safety of Chinese medicinal herbs for asymptomatic hepatitis B virus(HBV) infection. Data Source The trials registers of the Cochrane Hepato-Biliary Group, the Cochrane Library and the Cochrane Complementary Medicine Field were searched in combination with MEDLINE, EMBASE, and handsearches of Chinese journals and conference proceedings. Data Selection Randomized clinical trials with 3 months follow-up comparing Chinese medicinal herbs versus placebo, no intervention, non-specific treatment, or interferon treatment for asymptomatic HBV carriers were included. No language and blinding limitations were applied. Data Extraction Data were extracted independently by two reviewers. The methodological quality of trials was assessed by the Jadad-scale plus allocation concealment. Results Three randomized clinical trials (307 patients) with low methodological quality following patients for three months or more after the end of treatment were included. Herbal compound Jianpi Wenshen recipe showed significant effects on clearance of HBV markers compared to interferon: relative risk 2.40 (95 % CI 1.01 to 5.72) for clearance of serum HBsAg, and 2.54 (1.13 to 5.70) for seroconversion of HBeAg to anti-HBe. Phyllanthus amarus and Astragalus membranaceus showed no significant antiviral effect compared with placebo. Analysis of pooling eight randomized clinical trials with less than three months follow-up did not show a significant benefit of Chinese medicinal herbs on viral markers. No serious adverse event was observed. Conclusions There is insufficient evidence for treatment of asymptomatic HBVcarriers using Chinese medicinal herbs due to the low quality of the trials. Further randomized, double blind, placebo-controlled trials are needed.
Artificial intelligence (AI) for science (AI4S) technology, the AI technology for scientific research, has shown tremendous potential and influence in the field of healthcare, redefining the research paradigm of medical science under the guidance of computational medicine. We reviewed the main technological trends of AI4S in reshaping healthcare paradigm: knowledge-driven AI, leveraging extensive literature mining and data integration, emerges an important tool for understanding disease mechanisms and facilitating novel drug development; data-driven AI, delving into clinical and human-related omics data, unveils individual variances and disease mechanisms, and further establishes patient-centric digital twins to guide drug development and personalized medicine. Meanwhile, based on authentic patient digital twin models, adaptable strategies are employed to further propel the development of "e-drugs" that mimic the authentic mechanisms. These digital twins of drugs are evaluated for drug efficacy and safety through large-scale cloud-based virtual clinical trials, and followed by rationally designed real-world clinical trials, thus notably reducing drug development costs and enhancing success rates. Despite encountering challenges such as data scale, quality control, model interpretability, the transition from science insights to engineering solutions, and regulatory hurdles, we anticipate the integration of AI4S technology to revolutionize drug development and clinical practices. This transformation brings revolutionary changes to the medical field, offering novel opportunities and challenges for the development of medical science, and more importantly, providing necessary but personalized healthcare solutions for humankind.
