Background: For the treatment of single-level lumbar degenerative disc disease (DDD), oblique lateral interbody fusion (OLIF) has clinical advantages. Whether internal fixation needs to be combined for treatment has been the subject of debate.
Objective: To compare the early clinical effects of standalone oblique lateral interbody fusion (S-OLIF) versus OLIF combined with lateral screw fixation of the vertebral body (F-OLIF) on single-level lumbar DDD.
Purpose: Hemodynamically unstable patients with pelvic fractures still represent a challenge to trauma surgeons and have a very high mortality. This study was designed to explore the effect of the interventions of direct preperitoneal pelvic packing for the hemodynamically unstable pelvic fractures.
Methods: This retrospective study enrolled 67 cases of severe pelvic fractures with unstable hemodynamics from October 2011 to December 2019.
Study Design: This was a Bayesian network meta-analysis.
Objective: We aimed to assess the comparative efficacies of the 5 most commonly used procedures for spondylolisthesis in a Bayesian network meta-analysis.
Summary Of Background: Lumbar fusion procedures are the backbone for the surgical treatment of spondylolisthesis.
Objective: To evaluate the efficacies of core decompression and implantation of concentrated autologous bone marrow containing mononuclear cells (BMMCs) with porous hydroxylapatite composite in the treatment of osteonecrosis of the femoral head.
Methods: A total of 35 patients with 57 osteonecrosis hips with ARCO stage I, stage II and stage IIIA disease were treated by BMMCs with a porous hydroxylapatite composite. The mean age at surgery was 39.
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.
View Article and Find Full Text PDFThis 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.
View Article and Find Full Text PDFThis 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.
View Article and Find Full Text PDFThis 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.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
July 2003
Objective: To make an inquiry into method of typing of hemorrhagic fever with renal syndrome (HFRS).
Method: Average monthly rates were calculated on the basis of data from 1995 to 1999, then cluster analysis was carried out to type out endemic areas.
Results: Compared with the results of 36 surveillance spots from 1980 to 1992, twenty-four surveillance spots had the same results (66.