Auriculotherapy has been extensively used for chronic spontaneous urticaria in China. However, the evidence of its effectiveness and safety for the treatment of chronic spontaneous urticaria is insufficient. Hence, we conducted this study to compare auriculotherapy or auriculotherapy joint treatment with Western medicine for the cure of chronic spontaneous urticaria. This meta-analysis of seven randomized controlled trials showed that auriculotherapy or auriculotherapy joint treatment was significantly superior to Western medicine in curing clinical signs and symptoms of chronic spontaneous urticaria [odds ration (OR), 2.61; 95% confidence interval (CI), 1.54-4.43; p = 0.0004) and also better in total effect rate (OR, 3.81; 95% CI, 2.07-7.01; p＜0.0001). But, auriculotherapy or auriculotherapy joint treatment was similar to Western medicine in improving clinical signs and symptoms of chronic spontaneous urticaria (OR, 0.74; 95% CI, 0.35-1.56; p = 0.42). Auriculotherapy or auriculotherapy joint treatment was safer than Western medicine for curing chronic spontaneous urticaria (OR, 0.26; 95% CI, 0.09-0.80; p = 0.02). Auriculotherapy alone or auriculotherapy joint treatment appears to be more effective and safer than Western medicine that contains antihistamines in the treatment of chronic spontaneous urticaria. However, these findings should be interpreted with caution due to the unclear risk bias of methodological quality, and further studies with large-scale, better, and more rigorously designed protocol are necessary to prove these findings.
INTRODUCTION AND OBJECTIVE:
Most of important variables measured in medicine are in numerical forms or continuous in nature. New instruments and tests are constantly being developed for the purpose of measuring various variables, with the aim of providing cheaper, non-invasive, more convenient and safe methods. When a new method of measurement or instrument is invented, the quality of the instrument has to be assessed. Agreement and reliability are both important parameters in determining the quality of an instrument. This article will discuss some issues related to methods comparison study in medicine for the benefit of medical professional and researcher.
METHOD:
This is a narrative review and this article review the most common statistical methods used to assess agreement and reliability of medical instruments that measure the same continuous outcome. The two methods discussed in detail were the Bland-Altman Limits of Agreement, and Intra-class Correlation Coefficient (ICC). This article also discussed some issues related to method comparison studies including the application of inappropriate statistical methods, multiple statistical methods, and the strengths and weaknesses of each method. The importance of appropriate statistical method in the analysis of agreement and reliability in medicine is also highlighted in this article.
CONCLUSION:
There is no single perfect method to assess agreement and reliability; however researchers should be aware of the inappropriate methods that they should avoid when analysing data in method comparison studies. Inappropriate analysis will lead to invalid conclusions and thus validated instrument might not be accurate or reliable. Consequently this will affect the quality of care given to a patient.
Statistical distributions of annual extreme (AE) and partial duration (PD) for rainfall events are analysed using a database of 50 rain-gauge stations in Peninsular Malaysia, involving records of time series data which extend from 1975 to 2004. The generalised extreme value (GEV) and generalised Pareto (GP) distributions are considered to model the series of annual extreme and partial duration. In both cases, the three parameter models such as GEV and GP distributions are fitted by means of L-moments method, which is one of the commonly used methods for robust estimation. The goodness-of-fit of the theoretical distribution to the data is then evaluated by means of L-moment ratio diagram and several goodness-of-fit (GOF) tests for each of the 50 stations. It is found that for the majority of stations, the AE and PD series are well fitted by the GEV and GP models, respectively. Based on the models that have been identified, we can reasonably predict the risks associated with extreme rainfall for various return periods.