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BACKGROUND:Now, domestic total knee arthroplasty surgeries mainly use medial parapatel ar approach, with the disadvantages of large trauma and slower recovery. The quadriceps sparing approach is more accorded with normal anatomy, which can keep the knee extension system intact. The clinical comparison between quadriceps sparing approach and medial parapatel ar approach is rare. OBJECTIVE:To compare the early effect of total knee arthroplasty through quadriceps sparing approach and medial parapatel ar approach. METHODS:From January 2009 to January 2010, 55 patients (70 knees) were randomly divided into quadriceps sparing approach group (n=26, 35 knees) and medial parapatel ar approach group (n=29, 35 knees). Patients in two groups received total knee arthroplasty through quadriceps sparing approach and medial parapatel ar approach respectively. The incision length, operative time, postoperative drainage volume, additional amount of etoricoxib tablets, pain degree, straight leg raising time, start walking time, hospitalization time, range of motion of knee joint, Hospital for Special Surgery Knee Score, radiographic alignment of al components and complications were compared between two groups. Al the prostheses used in this study were the Sigma type prostheses provided by the rotation platform of Johnson&Johnson Company. RESULTS AND CONCLUSION:Al the patients were fol owed-up for 12-24 months without infections, deep vein thrombosis, neurovascular injury, prosthesis instability, prosthesis loosening or displacement. Position of al the prostheses was normal in patients. The operative time in the quadriceps sparing approach group was longer than that in the medial parapatel ar approach group (P=0.00), while the incision length, postoperative drainage volume, additional amount of etoricoxib tablets, visual analog scale, straight leg raising time, start walking time, hospitalization time, range of motion of knee joint at 3 days after replacement and Hospital for Special Surgery Knee Score in the quadriceps sparing approach group were better than those in the medial parapatel ar approach group (Psignificant differences in range of motion of knee joint at 3 days after replacement and Hospital for Special Surgery Knee Score between two groups. The early effect of total knee arthroplasty through quadriceps sparing approach is better than the medial parapatel ar approach, and there is no significant difference in prosthesis alignment between two methods.
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The design of one factor with k levels (k≥3) refers to the research that only involves one experimental factor with k levels (k≥3), and there is no arrangement for other important non-experimental factors. This paper introduces the estimation of sample size and testing power for quantitative data and qualitative data having a binary response variable with the design of one factor with k levels (k≥3).
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ABSTRACT: Estimation of sample size and testing power is an important component of research design. This article introduced methods for sample size and testing power estimation of difference test for quantitative and qualitative data with the single-group design, the paired design or the crossover design. To be specific, this article introduced formulas for sample size and testing power estimation of difference test for quantitative and qualitative data with the above three designs, the realization based on the formulas and the POWER procedure of SAS software and elaborated it with examples, which will benefit researchers for implementing the repetition principle.
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Sample size estimation is necessary for any experimental or survey research. An appropriate estimation of sample size based on known information and statistical knowledge is of great significance. This article introduces methods of sample size estimation of difference test for data with the design of one factor with two levels, including sample size estimation formulas and realization based on the formulas and the POWER procedure of SAS software for quantitative data and qualitative data with the design of one factor with two levels. In addition, this article presents examples for analysis, which will play a leading role for researchers to implement the repetition principle during the research design phase.
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This article introduces definitions of three special tests, namely, non-inferiority test (to verify that the efficacy of the experimental drug is clinically not inferior to that of the positive control drug), equivalence test (to verify that the efficacy of the experimental drug is equivalent to that of the control drug) and superiority test (to verify that the efficacy of the experimental drug is superior to that of the control drug), and methods of sample size estimation under the three different conditions. By specific examples, the article introduces formulas of sample size estimation for the three special tests, and their SAS realization in detail.
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This article introduces the general concepts and methods of sample size estimation and testing power analysis. It focuses on parametric methods of sample size estimation, including sample size estimation of estimating the population mean and the population probability. It also provides estimation formulas and introduces how to realize sample size estimation manually and by SAS software.
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This article introduces the definition and sample size estimation of three special tests (namely, non-inferiority test, equivalence test and superiority test) for qualitative data with the design of one factor with two levels having a binary response variable. Non-inferiority test refers to the research design of which the objective is to verify that the efficacy of the experimental drug is not clinically inferior to that of the positive control drug. Equivalence test refers to the research design of which the objective is to verify that the experimental drug and the control drug have clinically equivalent efficacy. Superiority test refers to the research design of which the objective is to verify that the efficacy of the experimental drug is clinically superior to that of the control drug. By specific examples, this article introduces formulas of sample size estimation for the three special tests, and their SAS realization in detail.
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The resident infection rate of schistosomiasis in Xinnong Village,Chuanxin Town,a national surveillance site of schistosomiasis.decreased to 0.14% in 2008.which suggested that the surveillance site reached the criteria for trammission control.