Literature DB >> 17165151

Pregnancy prediction models and eSET criteria for IVF patients--do we need more information?

Lars D M Ottosen1, Ulrik Kesmodel, Johnny Hindkjaer, Hans Jakob Ingerslev.   

Abstract

PURPOSE: The purpose of the present study was to evaluate statistical prediction models and simple allocation criteria, based on predictors for pregnancy, as tools to identify a good prognosis group in a possible eSET setting.
METHODS: A pregnancy prediction model based on logistic regression models was generated by analysis of 1675 DET treatment cycles. The model was evaluated and compared to simple eSET allocation criteria.
RESULTS: Embryo quality, patient age, and basal FSH were identified as significant predictors (at 5% significance level) of pregnancy. Although comparable to previously generated models, the predictive ability of the present model was relatively poor and practically similar to simple allocation criteria based on age and embryo quality.
CONCLUSIONS: Existing prediction models, or simple allocation criteria, are limited in identifying good prognosis patients. Future studies of the applicability of improved pregnancy prediction models will need very comprehensive and detailed patient and embryo information.

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Year:  2006        PMID: 17165151      PMCID: PMC3455082          DOI: 10.1007/s10815-006-9082-9

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.412


  40 in total

1.  Maternal complications of twin pregnancy.

Authors:  D M Campbell; A Templeton
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2.  Elective single day 3 embryo transfer halves the twinning rate without decrease in the ongoing pregnancy rate of an IVF/ICSI programme.

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Journal:  Hum Reprod       Date:  2002-10       Impact factor: 6.918

3.  Impact of elective single embryo transfer on the twin pregnancy rate.

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Journal:  Hum Reprod       Date:  2003-07       Impact factor: 6.918

Review 4.  Metabolism and developmental competence of the preimplantation embryo.

Authors:  Franchesca D Houghton; Henry J Leese
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2004-07-01       Impact factor: 2.435

Review 5.  What is the most relevant standard of success in assisted reproduction? Redefining success in the context of elective single embryo transfer: evidence, intuition and financial reality.

Authors:  Siladitya Bhattacharya; Allan Templeton
Journal:  Hum Reprod       Date:  2004-06-24       Impact factor: 6.918

6.  Elective single embryo transfer (eSET) policy in the first three IVF/ICSI treatment cycles.

Authors:  Aafke P A van Montfoort; John C M Dumoulin; Jolande A Land; Edith Coonen; Josien G Derhaag; Johannes L H Evers
Journal:  Hum Reprod       Date:  2004-11-18       Impact factor: 6.918

7.  Neurological sequelae in twins born after assisted conception: controlled national cohort study.

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Review 8.  Preimplantation genetic diagnosis and human implantation--a review.

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10.  Negative lifestyle is associated with a significant reduction in fecundity.

Authors:  Mohamed A M Hassan; Stephen R Killick
Journal:  Fertil Steril       Date:  2004-02       Impact factor: 7.329

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  16 in total

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2.  Derivation of human embryonic stem cells using a post-inner cell mass intermediate.

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Review 3.  Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data.

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4.  Can Ratios Between Prognostic Factors Predict the Clinical Pregnancy Rate in an IVF/ICSI Program with a GnRH Agonist-FSH/hMG Protocol? An Assessment of 2421 Embryo Transfers, and a Review of the Literature.

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5.  A decrease in serum estradiol levels after human chorionic gonadotrophin administration predicts significantly lower clinical pregnancy and live birth rates in in vitro fertilization cycles.

Authors:  L A Kondapalli; T A Molinaro; M D Sammel; A Dokras
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6.  Predicting the probability of a live birth after a freeze-all based in vitro fertilization-embryo transfer (IVF-ET) treatment strategy.

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7.  Predicting clinical pregnancy using clinical features and machine learning algorithms in in vitro fertilization.

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Review 8.  Prediction models in in vitro fertilization; where are we? A mini review.

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9.  Does the number of oocytes retrieved influence pregnancy after fresh embryo transfer?

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10.  Factors associated with failed treatment: an analysis of 121,744 women embarking on their first IVF cycles.

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