ObjectiveTo investigate the therapeutic effects of different doses of tanshinone ⅡA microemulsion on radioactive lung injury.
MethodsSeventy-two Wistar rats were randomly divided into a healthy control group,a model group,a liposome microemulsion treatment group,a tanshinone ⅡA microemulsion high-dose group,a tanshinone ⅡA microemulsion middle-dose group,and a tanshinone ⅡA microemulsion low-dose group.Radiation-induced lung injury model was established by irradiation of radiotherapy instrument.In addition to the control group,other groups received 6MV X radiation with one dosage of 22Gy.Four rats in each group were sacrificed on 7th,14th,and 28th day,respectively.Lung tissues were sampled to analyze the pathological changes by HE staining and the Smad7 mRNA expression by RT-PCR.The level of glutathione(GSH)in peripheral blood was determined by ultraviolet spectrophotometric method.
ResultsIn the model group and four treatment groups,lung tissue biopsy showed the pathological changes gradually from pulmonary alveolitis to fibrosis.The level of Smad7 mRNA in lung tissue and GSH in peripheral blood were higher in the high-dose group,the middle-dose group and the low-dose group than those in the model group at all time points(P<0.05),and were highest in the high-dose group.There was no significant differences in the level of Smad7 mRNA in lung tissue and GSH in peripheral blood between the liposome microemulsion treatment group and the middle-dose group.
ConclusionTanshinone ⅡA microemulsion has treatment effect on lung injury in a dose dependent manner.
ObjectivesTo compare different formula calculated dosages with the actual doses of warfarin from patients in Beijing Hospital so as to investigate suitable warfarin dosing models for Chinese patients.MethodsOne hundred and three Chinese patients with long-term prescription of warfarin were randomly selected from Beijing Hospital from July 2012 to May 2013. The CYP2C9 and VKROC1 genotypes and basic statistical information were collected. SPSS 18.0 software was used to compare the differences between different formula calculated dosages and the actual dosages of warfarin.ResultsFive genotypes were found in 103 patients, including: CYP2C9 AA genotype + VKORC1 AA genotype (n=72, 69.9%), CYP2C9 AA genotype + VKORC1 AG genotype (n=17, 16.5%), CYP2C9 AC genotype + VKORC1 AA genotype (n=10, 9.7%), CYP2C9 AC genotype + VKORC1 AG genotype (n=3, 2.9%) and CYP2C9 AA genotype + VKORC1 GG genotype (n=1, 1%). Compared with the actual dosages of warfarin, the degree of coincidence was highest for dosages calculated by Jeffrey’s formula.Conclusions Using Jeffrey’s formula to calculate warfarin dosages may be more suitable for Chinese patients with using long-term warfarin. Due to limited sample size, prospective and large sample size studies are required to verify the above conclusion.
ObjectiveTo compare the radiation dose distribution in irradiated target area and organs at risk among conventional radiotherapy, conformal radiotherapy and semi-field conformal radiotherapy in Graves' ophthalmopathy patients.
MethodsThirty patients with Grave's ophthalmopathy treated between January 2010 and December 2012 were included in this study.CT scan was performed to obtain images of each patients; three-dimensional planning system (3D-TPS) was done to design conventional radiotherapy, conformal radiotherapy and semi-field conformal radiotherapy for each patient.Then, we counted the standard deviation of study parameters for each radiotherapy technique, and the results were compared among the three groups.
ResultsAverage irradiation dose in target area of patients accepting conventional irradiation, conformal irradiation and semi-field conformal irradiation therapy was not significantly different (P > 0.05).V95 and the conformity index values of conformal irradiation and semi-field conformal irradiation therapy were better than those of the conventional irradiation therapy (P < 0.001), while no significant difference between conformal irradiation and semi-field conformal irradiation therapy was detected (P > 0.05).Patients accepting conventional irradiation got the highest cumulative irradiation dose in eye lens, while patients accepting semi-field conformal irradiation therapy got the lowest irradiation dose in eye lens, and the differences were significant (P < 0.05).Patients accepting conventional irradiation got the highest cumulative irradiation dose in pituitary, while cumulative irradiation dose in pituitary in patients accepting conformal irradiation and semi-field conformal irradiation therapy was not significantly different (P > 0.05).
ConclusionsConformal irradiation and semi-field conformal irradiation techniques are superior to conventional irradiation technique, with a better target conformal degree and higher does distribution in target area, as well as a lower radiation dose in normal tissues surrounding target area.Semi-field conformal irradiation technique has a better performance than conformal irradiation therapy in eye lens protection.
In evidence-based practice and decision, dose-response meta-analysis has been concerned by many scholars. It can provide unique dose-response relationship between exposure and disease, with a high grade of evidence among observational-study based meta-analysis. Thus, it is important to clearly understand this type of meta-analysis on software implementations. Currently, there are different software for dose-response meta-analysis with various characteristics. In this paper, we will focus on how to conduct dose-response meta-analysis by Stata, R and SAS software, which including a brief introduction, the process of calculation, the graph drawing, the generalization, and some examples of the processes.
Dose-response meta-analysis, an important tool in investigating the relationship between a certain exposure and risk of disease, has been increasingly applied. Traditionally, the dose-response meta-analysis was only modelled as linearity. However, since the proposal of more powerful function models, which contains both linear, quadratic, cubic or more higher order term within the regression model, the non-linearity model of dose-response relationship is also available. The packages suit for R are available now. In this article, we introduced how to conduct a dose-response meta-analysis using dosresmeta and mvmeta packages in R.
ObjectiveTo systematically review the dose-effect relationship between resistance exercise intervention and lower extremity muscle strength and function enhancement in the aging. MethodsEBSCO, PubMed, Web of Science, CNKI, VIP, and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) on the effects of resistance exercise on muscle strength and function of the lower extremities in older adults from inception to July 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. A network meta-analysis was then performed by using RevMan 5.4 and Stata 15.0 software. ResultsA total of 32 RCTs with a total sample size of 1 594 individuals were included. The results of network meta-analysis showed that the elements of resistance exercise prescription: intensity 50%-70% 1RM, period 8-12 weeks, frequency 3-4 times/week, duration 30-45 min, and intervals 1.1-2 min were superior to other doses. ConclusionThe optimal dose of resistance exercise for improving lower extremity muscle strength and function in older adults is moderate exercise intensity (50%-70% 1RM) for 8-12 weeks, 3-4 times per week, 30-45 min per exercise, and 1.1-2 min interval between sets.
ObjectiveTo systematically evaluate the dose-response relationship between coffee consumption and liver cancer risk. MethodsThe PubMed, Web of Science, Cochrane Library, EMbase, CNKI, VIP, WanFang Data, and CBM databases were searched from inception to December 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 17.0 software. ResultsFifteen studies (11 cohort studies and 4 case-control studies) involving 557 259 participants were included. The results of meta-analysis showed that coffee consumption was significantly negatively associated with the risk of liver cancer (RR=0.39, 95%CI 0.27 to 0.57, P<0.01). The dose-response meta-analysis showed a non-linear dose-response relationship between coffee consumption and the risk of liver cancer (P<0.01). Compared with people who did not drink coffee, people who drank 1 cup of coffee a day had a 25% lower risk of liver cancer (RR=0.75, 95%CI 0.67 to 0.83), and people who drank 2 cups of coffee a day had a 38% lower risk of liver cancer (RR=0.62, 95%CI 0.56 to 0.70). The risk of liver cancer decreased by 45% (RR=0.55, 95%CI 0.48 to 0.62) for 3 cups of coffee and by 51% (RR=0.49, 95%CI 0.43 to 0.56) for 4 cups of coffee. ConclusionCurrent evidence suggests that there is a nonlinear dose-response relationship between coffee consumption and the risk of liver cancer. These results indicate that habitual coffee consumption is a protective factor for liver cancer. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective
To investigate the effects of QUE on proliferation and DNA synthesis of cultured retinal pigment epithelium(RPE) cells with or without EGF.
Methods
With or without EGF, cultured RPE cells were treated with QUE by various concentrations(200,100,50,1mu;mol/L) and with QUE 200mu;mol/L at different times(24-168 hr), cells proliferation and DNA synthesis were evaluated by cell count method and the uptake of thymidine. The viability of cells was determined by trypanblue exclusion.
Results
The best concentration of QUE which inhibits proliferation and DNA synthesis of PRE cells was 200mu;mol/L. The significant inhibition effect of QUE occurred at 48hr, and the best inhibition of QUE occurred at 96hr. QUE had more powerful effect of antiproliferation on RPE cells, and the viability of RPE cells was over85%.
Conclusion
The results suggested that QUE could inhibit the proliferation of RPE cells in a dose-dependent and time-dependent manner, especially inhibit the proliferation induced by EGF stimulating. QUE had no cyto-toxic effect on RPE cells cultured in vitro.
(Chin J Ocul Fundus Dis,1999,15:27-29)
Objective To evaluate the effectiveness and safety of different doses of interferon alfa (INF-α) in the treatment of chronic hepatitis C (CHC). Methods Such databases as MEDLINE, EMbase, CENTRAL, CBM, CNKI, VIP and WanFang Data were searched to collect the randomized controlled trials (RCTs) on different doses of INF-α in the treatment of CHC published before August, 2012. According to the inclusion and exclusion criteria, two reviewers independently screened literature, extracted data and evaluated the quality of the included studies, and then meta-analysis was performed using RevMan 5.0 software. Results A total of 13 RCTs involving 1 442 patients were included. The results of meta-analysis on different doses of INF-α showed that, a) There was no significant difference in the complete response rate between the 3 MU dose group and the 1 MU dose group (RR=0.83, 95%CI 0.52 to 1.32, P=0.43), but there was significant difference in the sustained response rate between those 2 groups (RR=1.89, 95%CI 1.00 to 3.59, P=0.05); and b) No significant differences were found in the complete response rate among the 3 MU dose group, the 6 MU dose group, and the 1 MU dose group. Conclusion INF-α in dose of 3 MU, 3 times daily, is effective in treating CHC, but it would not rule out that higher dose takes more effective action. When INF-α is used to treat CHC, an individualized medication should be applied according to patients’ tolerance and economic status.
According to the heterogeneity between dose-response data across different studies and the potential nonlinear trend within the dose-response relationship, there are several models for trend estimation from summarized dose-response data, with applications to meta-analysis. However, up to now, there is no guideline of conducting a metaanalysis of dose-response data. After summarizing the previous papers, this paper focuses on how to select the right model for conducting a meta-analysis of dose-response data based on the heterogeneity across different studies, the goodness of fit, and the P value of overall association between exposure and event. Then a preliminary statistical process of conducting a meta-analysis of dose-response data is proposed.
