Objective To observe whether theograde axial flow of retinal ganglion cells (RGC) in diabetic rats at the early stage was damaged. Methods Diabetic model was induced by streptozotocin in 6 adult male Sprague-Dawley (SD)rats. Fluorogold (FG) was injected to the superior colliculi 4 weeks later.Streched preparation of retina was made 12 and 72 hours after the injection, and was stained after photographed by fluorescent microscope. The proportion of RGC with different sizes labeled by FG was calculated. Other 6 normal adult male SD rats were in the control group. Results Twelve hours after injection with FG, there was no difference of the total number of RGC in experimental and control group, but the ratio of small RGC was lower in experimental group than that in the control group; 72 hours after injection with FG, The number of RGC, especially the small RGC, decreased obviously in experimental group compared with the control group. Conclusion The speed of the retrograde axial flow of RGC in diabetic rats at the early stage is affected, and the small RGC are damageable. (Chin J Ocul Fundus Dis, 2006, 22: 4-6)
Lateral flow assay is widely used in the point-of-care testing on-site and in-home testing with the advantage of being simple, rapid, sensitive and cost-effective. Proper labels are the key factors in lateral flow assay. Traditional labels include colloidal gold, selenium nanoparticle, and carbon nanoparticle, among which the colloidal gold is most commonly used. Lateral flow assay has been improved as a result of the discovery of new labels, such as quantum dots and nanozyme recently. Meanwhile, transformation of qualitative detection to quantitative detection is gradually realized. This article aims at introducing the most often used and the latest lateral flow assay labels, providing a basis theoretical investigation on screening proper labels for lateral flow assay researchers.
Objective To evaluate the related laws, regulations and guidelines about off-label drug use in several countries, so as to provide evidence for regulating off-label drug use in China. Methods The following 3 Chinese databases as CBM, CNKI and VIP, 11 foreign databases including EMbase, PubMed and so on, 15 countries’ official websites of pharmaceutical administration department or academic organization, and WHO website were searched to obtain the related laws, regulations and guidelines about off-label drug use. By adopting the system evaluation method and self-defined index evaluation, the quality of the included literatures was evaluated in three aspects: literatures’ type, content relevance and timeliness. Seven researchers independently extracted data by Excel which included basic information of literatures, preconditions of off-label drug use, medicines categories that could be off-labelly used, regulations and legal responsibility in off-label drug use. And finally the descriptive analysis was conducted. Results A total of 4 735 literatures were retrieved, 104 of which were finally included, including 89 at grade A quality level (85.58%) and 15 was at grade B (14.42%). The analysis showed that, a) Seven countries had laws related to off-label drug use: America, Germany, Italy, Netherland, New Zealand, India and Japan. Except India, the rational off-label drug use was allowed in the other 6 countries. The right to prescribe off-label drug was defined in Britain and Ireland; b) Medical staff had to take the responsibility of off-label drug use in the country where the duty regulations were formulated; and c) Ten countries published guidelines or statements related to off label drug use by their official departments and academic organizations. And the regulation included the following procedures: firstly, to obtain the relative information and evidence; secondly, to get the informed consent; thirdly, to be approved by the ethics committee and/or pharmacy administration committee; fourthly, to record the reasons and effectiveness of off-label use; fifthly, to monitor the adverse reactions of off-label drug use. Besides monitoring the medical institutes, the pharmaceutical companies had also be monitored which included the following 3 aspects: a) to require companies to train specialized staffs to answer the questions related to off-label drug use; b) to open the contact information of medical departments of companies; and c) to prohibit preaching and advertising the off-label drug use. Conclusion Off-label drug use has its rationality and necessity. To protect the safety of patients, avoid the risk for hospitals and medical staffs, it requires formulating relative regulations soon in order to manage the off-label drug use in China. As a developing country, China is different from the developed countries in health care system. Therefore, when formulating the regulations, it is necessary to perform evidence-based evaluation on each country’s laws, regulations and guidelines about off-label drug use, with Chinese national conditions and experts’ opinions in combination. After a regulation is preliminarily drawn up, it needs to be put into pilot practice, and then revised and spread to the whole country.
Automatic classification of medical questions is of great significance in improving the quality and efficiency of online medical services, and belongs to the task of intent recognition. Joint entity recognition and intent recognition perform better than single task models. Currently, most publicly available medical text intent recognition datasets lack entity annotation, and manual annotation of these entities requires a lot of time and manpower. To solve this problem, this paper proposes a medical text classification model, bidirectional encoder representation based on transformer-recurrent convolutional neural network-entity-label-semantics (BRELS), which integrates medical entity label semantics. This model firstly utilizes an adaptive fusion mechanism to absorb prior knowledge of medical entity labels, achieving local feature enhancement. Then in global feature extraction, a lightweight recurrent convolutional neural network (LRCNN) is used to suppress parameter growth while preserving the original semantics of the text. The ablation and comparison experiments are conducted on three public medical text intent recognition datasets to validate the performance of the model. The results show that F1 score reaches 87.34%, 81.71%, and 77.74% on each dataset, respectively. The results show that the BRELS model can effectively identify and understand medical terminology, thereby effectively identifying users’ intentions, which can improve the quality and efficiency of online medical services.
ObjectiveTo understand the situation of off-label use of aspirin among outpatients in Sun Yatsen Memorial Hospital, so as to provide baseline data for developing off-label drug use policy. MethodsA stratified random sampling method was used to collected prescription data of aspirin among outpatients in 2013. The incidence rates between different types of off-label use of aspirin were determined by chi-square test, and the influence factors of off-label drug use were analyzed by logistic regression model. ResultsA total of 5 023 prescriptions with aspirin were collected and analyzed, with incidence rate of off-label use up to 17.7%. The major category of off-label use was no indication (94.38%). The top 3 no indications were recurrent abortion, infertility and systemic lupus erythematosus. Drug specification, gender, age and prescribed department were the risk factors of off-label use. ConclusionAspirin off-label use is common among outpatients in Sun Yat-sen Memorial Hospital in 2013, especially in obstetrics and gynecology department and assisted reproductive center. The results suggest that more clinical studies about aspirin for reproduction are needed to provide more evidence of drug use, so as to ensure the safety of drug use in special populations and avoid potential medical risk.
Objective To explorer the survival time of autogeneic BMSCs labeled by superparamagnetic iron oxide (SPIO) in rabbit intervertebral discs and the rule of migration so as to prove bases of gene therapy preventing intervertebral disc degeneration. Methods Twelve rabbits were used in this experiment, aged 8-10 weeks, weighing 1.5-2.0 kg and neglecting their gender. BMSCs were separated from rabbits bone marrow by density gradient centrifugation and cultivated, and the 3rd generation of BMSCs were harvested and labeled with SPIO, which was mixed with poly-l-lysine. The label ing efficiency was evaluated by Prussian blue staining and transmission electron microscope. Trypanblau stain and MTT were performed to calculate the cell’ s activity. Rabbits were randomly divided into experimental group (n=8) and control group (n=4), the labeled BMSCs and non-labeled BMSCs (5 × 105/mL) were injected into their own intervertebral discs (L1,2, L2,3, L3,4 and L4,5), respectively. At 2, 4, 6 and 8 weeks, the discs were treated with Perl’s fluid to observe cell survival and distribution. Results The label ing efficiency of BMSCs with SPIO was 95.65% ± 1.06%, the cell activity was 98.28% ± 0.85%. There was no statistically significant difference in cell prol iferation within 7 days between non-labeled and labeled cells (P gt; 0.05). After 8 weeks of operation, the injected cells was al ive. ConclusionLabeled BMSCs with SPIO is feasible in vitro and in vivo, and the cells can survive more than 8 weeks in rabbit discs.
ObjectiveThis study proposes employing large language models (LLMs) for medical literature quality assessment, exploring their potential to establish a standardized and scalable intelligent evaluation framework for off-label drug use (OLDU). MethodsThe study used two freely available LLMs platforms in China, DeepSeek-R1 and Doubao. Following the medical literature quality assessment tools recommended in the evidence-based evaluation specification for OLDU issued by the Guangdong Pharmaceutical Association, we selected the Jadad scale and the MINORS criteria. These tools were employed to assess the quality of the two most prevalent types of medical literature in OLDU evidence evaluation: randomized controlled trials (RCTs) and non-randomized controlled trials (non-RCTs). Utilizing chain-of-thought (CoT) prompting techniques, we developed standardized evaluation templates. The quality scores generated by the LLMs were then compared against those reported in systematic reviews or assigned by clinical pharmacists. ResultsFor RCT, DeepSeek-R1 demonstrated consistency with human assessments in quality appraisal. However, discrepancies exist between the Doubao model and manual evaluation results, with three repeated evaluations yielding inconsistent outcomes and inaccurate identification of "allocation concealment" items. For non-RCT, all models achieved concordant quality assessment outcomes with human evaluators, while demonstrating unique capacity to detect systematic evaluation inaccuracies attributable to human subjective bias. ConclusionThis study demonstrates that prompt engineering-driven LLMs can efficiently conduct quality assessments of medical literature. However, the selection of models requires rigorous validation against domain-specific benchmarks, alongside mandatory expert validation of scoring outputs. Our findings further reveal the necessity of refining current quality appraisal criteria through granular operational definitions, thereby facilitating standardized automation. This approach not only enhances the efficiency and transparency of evidence-based decision-making for OLDU but also extends to systematic reviews and rapid health technology assessments. By replacing traditional literature quality evaluation models with automated scoring mechanisms, it enables a paradigm shift in the efficiency of evidence processing.
ObjectiveTo investigate the situation of off-label drug use in dose (OLDUD) of ambroxol hydrochloride injection (AHI) in perioperative period among patients for stanford type A aortic dissection in Guangdong General Hospital, so as to provide references for the rational application of AHI in clinical practice. MethodsAll medical orders of AHI for patients had aortic arch replacement for Stanford type A aortic dissection in Guangdong General Hospital between January 2005 and December 2014 were included. The patients were divided into a mild OLDUD ( < 450 mg) group, a moderate OLDUD (450 mg≤OLDUD < 900 mg) group, and a high OLDUD (≥900 mg)group. The preoperative and postoperative features, incidence of PPCs, mortality, incidence of reintubation, time of mechanical ventilation, time stay in ICU, time stay in hospital and the overall costs among three groups were compared by SPSS 22.0 software. Resultsa) A total of 549 patients were included. The incidence of OLDUD was 99.82%. The most common PMDDs were 450 mg (n=358) and 900 mg (n=88). b) The three groups were well matched for perioperative and operative variables. c) The incidence of preoperative drug use was 8.6%. The incidences (5.5% vs. 7.7% vs. 15.7%, P=0.022) and maximum doses (180 mg vs. 300 mg vs. 450 mg, P=0.014) of preoperative drug use were statistically different in mild OLDUD, moderate OLDUD and high OLDUD groups. The days of preoperative drug use were not different (3 d vs. 2.5 d vs. 2 d, P=0.307). The days of postoperative drug use (9.5 d vs. 13 d vs. 19 d, P < 0.001) and postoperative drug use in maximum doses (7 d vs. 8 d vs. 7 d, P=0.005) were different. d) The incidence of PPCs was 100%, and the mortality (8.2% vs. 6.6% vs. 9.0%, P=0.696) was not statistically different among mild OLDUD, moderate OLDUD and high OLDUD groups. However the incidence of reintubation (14.3% vs. 13.8% vs. 27%, P=0.009), time of mechanical ventilation (37 h vs. 50 h vs. 114 h, P < 0.001), time stay in ICU (138 h vs. 178.5 h vs. 316 h, P < 0.001), time stay in hospital (25 d vs. 27 d vs. 34 d, P=0.001) and the overall costs (¥ 0.17 million vs. ¥ 0.19 million vs. ¥ 0.25 million, P < 0.001) were different among three groups. Moreover, they were all increasing along with the dose of AHI. ConclusionAHI cannot improve the prognosis of patients having aortic arch replacement for Stanford Type A Aortic Dissection in a dose-dependent manner. Further well-designed prospective studies should be conducted to verification or falsification.
【Abstract】 Objective To explore the optimal dosage, timing and cytotoxicity of bromodeoxyuridine (BrdU) labelling for rabbit adipose-derived stromal stem cells (ADSCs) in vitro so as to confirm its feasibil ity for stem cells labell ing and tracer means. Methods Six rabbits were used in this experiment, aged 8-12 weeks, weighing 1.5-2.0 kg and neglecting their gender. 1-2 mL fat was removed, the ADSCs were isolated and cultured using the adherence method in vitro . The 3rd passage of ADSCs was incubated with BrdU at 5, 10, 15 and 20 μg/mL (groups A, B, C and D）for 12, 24, 48 and 72 hours to identify the optimal BrdU concentration and incubating time for cell labell ing. Immunohistochemistry and trypanblau strain were performed respectively to calculate the labell ing index (positive rate) and the cells’ activity for different time after BrdU labell ing. The ADSCs without BrdU labell ing were used as control (Group E）. Results The main appearance of primary ADSCs was short fusiform shape, and of the 3rd passage ADSCs long fusiform shape. The 3rd passage of ADSCs could differentiate into osteoblastsand adipocytes under corresponding inductive medium. The ADSCs’ nucleus show green fluor under fluorescence microscope after labeled by the BrdU. The labell ing ratio increased in groups A, B, C and D after incubating 12 hours, the mean labell ing ratio were 30.6％ ±2.3％，32.4％ ±1.9％，45.8％ ±1.8％，50.8％ ±3.1％ , respectively, and the labell ing ratio of Group E was 0. There were significant differences between groups C, D and Group A (P lt; 0.01). The labell ing ratio of groups A, B, C and D were 45.9％ ±2.0％，87.9％ ±3.3％，90.6％ ±2.9％，91.7％ ±3.2％，respectively after 24 hours and the labell ing ratio of Group E was 0. There were significant differences between groups B, C, D and Group A (P lt; 0.01). The results of all groups after incubating48 hours and 72 h ours were similar to that after incubating 24 hours. The cell counting of groups A, B, C and D were better than that of Group E, but showing no siginificant differences（P gt; 0.05）. Conclusion The most appropriate time for BrdU labell ing ADSCs is 48 hours, the most appropriate concentration is 10 μg/mL. The labell ing rate is high and cytotoxicity is l ittle.
ObjectiveTo systematically review the global situation of off-label drug use in cancer patients. MethodsWe searched PubMed, EMbase, CNKI, CBM and VIP databases from their inception to October 2014, to collect studies on off-label drug use in cancer patients. The publication language was limited to English and Chinese. Combieg criteria was used for methodological quality assessment of included studies. A describe analysis was used to analyze the incidence and the proportion of different off-label used drugs. ResultsA total of 14 cross-sectional studies were included. Among them, 1 was from Switzerland, 1 was from Italy, 1 was from Australia, and the other 11 studies were from China. Seven included studies reported the investigated patients' number, containing 3 713 cancer patients and 13 238 prescriptions. The incidences of off-label drug were 2 844, accounting for 21.48%. There were similar rates of off-label prescriptions in Europe, Asia and Australia, but the average off-label prescriptions of European cancer patients were lower than Asia and Australia. The total rate of "unapproved dose", "unapproved indication", and "unapproved solvents" were more than 80% in off-label drug use. ConclusionThe average off-label prescriptions of European cancer patients are lower than Asian and Australian. "Unapproved dose", "unapproved indication" and "unapproved solvents" are the most common off-label prescription in off-label drug use.