BACKGROUND: Uterine fibroids affect a quarter of the female population. The advent of minimally invasive gynecological surgery has revolutionized fibroid removal. The aims of this study were to analyze the variables correlated to myomectomies and establish predictive variable models.
METHODS: From 2007 to 2009, 966 patients underwent myomectomy. 30 variables surrounding the myomectomies were analyzed. All variables were transformed into categorical variable and analyzed for normal distribution. The variables were cross-tabulated and analyzed for correlation using a Pearson Chi-Square statistic. Correlated variables underwent multinomial logistic regression analysis to obtain predictive models.
Conclusion: A complete examination of all types of myomectomies support existing relationships between variables and provide novel correlations and predictions.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/15045 |
| Date | 22 January 2016 |
| Creators | Anand, Natasha |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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