TITLE

Prediction models for infertility treatment

AUTHOR(S)
Zarinara, A.; Zeraati, H.; Kamali, K.; Akhondi, M.
PUB. DATE
June 2014
SOURCE
Iranian Journal of Reproductive Medicine;Jun2014 Supplement, Vol. 12, p34
SOURCE TYPE
Academic Journal
DOC. TYPE
Abstract
ABSTRACT
Introduction: About 10% of couples are infertile. They are faced with several problems that affect their marital life. Infertility treatment is expensive and time consuming and occasionally isn't simply possible. Because, prediction of treatment success is important this paper has reviewed effective predictors based on previous studies. Materials and Methods: This study has been conduct as a systematic review in Avicenna Research Institute in 2014. Six data base searched base on WHO and international committee of monitoring ART definitions and MESH key words. Papers about prediction models in infertility were evaluated. Results: Fifty five papers were eligible for study. Papers covered years after 1986 and studies were designed retrospectively and prospectively. IVF prediction models have more shares in papers. Common predictors were age, duration of infertility, ovarian and tubal problems. Conclusion: Prediction model can be clinically applied if the model would be statistically evaluates and has a good validation for treatment success. To achieve better results the physician and the couples needs estimation for treatment success rate based on history, the examination and clinical tests. Models must be check for theoretical approach and appropriate validation. Appl>ing impact of prediction models are decreasing the cost and time saving, avoiding pain treatment for patients, assessment of treatment approach for physicians and decision making for health managers and massive governmental policy makers. Design and applying of prediction models in infertility treatment has been recently considered by researchers and is a new approach. Approach to the design and use of these models is inevitable.
ACCESSION #
96841560

 

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