Prevention of Hemodynamic Changes after Tracheal Intubation - Meta - Analysis - .
10.4097/kjae.1991.24.4.754
- Author:
Won Oak KIM
1
;
Hae Keum KIL
;
Yang Sik SHIN
;
Eun Kyoung AHN
Author Information
1. Department of Anesthesiology, Yonsei University College of Medicine, Seoul, Korea.
- Publication Type:Meta-Analysis ; Original Article ; Clinical Trial
- Keywords:
Tracheal;
Intubation;
Hemodynamic;
Lidocaine;
Fentanyl;
Esmolol;
Meta-Analysis
- MeSH:
Blood Pressure;
Fentanyl;
Heart;
Heart Rate;
Hemodynamics*;
Intubation*;
Lidocaine;
Research Report;
Selection Bias
- From:Korean Journal of Anesthesiology
1991;24(4):754-759
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Meta-analysis is the statistieal analysis of a collection of analytic result for the purpose of integrating the findings across studies. Such a systematic quantitative procedure through combination of statistic offers accumulation of evidence in terms of the effect size. Furthermore, the combination of data from several studies increases generalibility and statistical power with some criticisms. Schmidt-Hunter procedure is appropriate method for measuring d(the difference between the group mean divided by the standard deviation) statistics. In this paper we present the cumulation formulas for effect sizes and analyzed mean d statistics. Twenty-five research reports of clinical trials for prevention of hemodynamie changes after tracheal intubation were gathered. Three drugs(lidocaine, fentanyl, esmolol) were reported in detail sufficient to get for analyzing variables(systolic, diastolic and heart rate). Means of each variable were summarized and calculated by each drug between control and treatment group. Nine meta-analysis were performed. Lidocaine, fentanyl and esmolol all effectively decreased hemodynamic changes compared to control group(placebo group). Fentanyl provided reliable protection in systolic blood pressure as esmolol in heart rate. Range variation.of mean effect size was smallest and consistent in esmolol group. Variance of the effect size corrected for sampling error was large in all drugs and there should be a search for moderator variables(covariate) with need for stratification.
