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How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study
STUDY QUESTION: How much variation in oocyte yield after controlled ovarian stimulation (COS) can be accounted for by known patient and treatment characteristics? SUMMARY ANSWER: There is substantial variation in the COS responses of similar women and in repeated COS episodes undertaken by the same...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276674/ https://www.ncbi.nlm.nih.gov/pubmed/30895232 http://dx.doi.org/10.1093/hropen/hox018 |
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author | Rustamov, Oybek Wilkinson, Jack La Marca, Antonio Fitzgerald, Cheryl Roberts, Stephen A |
author_facet | Rustamov, Oybek Wilkinson, Jack La Marca, Antonio Fitzgerald, Cheryl Roberts, Stephen A |
author_sort | Rustamov, Oybek |
collection | PubMed |
description | STUDY QUESTION: How much variation in oocyte yield after controlled ovarian stimulation (COS) can be accounted for by known patient and treatment characteristics? SUMMARY ANSWER: There is substantial variation in the COS responses of similar women and in repeated COS episodes undertaken by the same woman, which cannot be accounted for at present. WHAT IS ALREADY KNOWN: The goal of individualized COS is to safely collect enough oocytes to maximize the chance of success in an ART cycle. Personalization of treatment rests on the ability to reduce variation in response through modifiable factors. STUDY DESIGN, SIZE, DURATION: Multilevel modelling of a routine ART database covering the period 1 October 2008–8 August 2012 was employed to estimate the amount of variation in COS response and the extent to which this could be explained by immutable patient characteristics and by manipulable treatment variables. A total of 1851 treatment cycles undertaken by 1430 patients were included. The study was not subject to attrition, as cancelled cycles were included in the analysis. PARTICIPANTS/MATERIALS, SETTING, METHODS: Women aged 21–43 years undergoing ovarian stimulation for IVF (possibly with ICSI) using their own eggs at a tertiary care centre. MAIN RESULTS AND THE ROLE OF CHANCE: Substantial unexplained variation in COS response (oocyte yield): was observed (3.4-fold (95% CI: 3.12 to 3.61)). Only a relatively small amount of this variation (around 19%) can be explained by modifiable factors. A significant, previously undescribed predictor of response was the practitioner performing oocyte retrieval, with 1.5-fold variation between surgeons with the highest and lowest yields. LIMITATIONS REASONS FOR CAUTION: Although a large number of covariables were adjusted for in the analysis, including those that were used for dosing and determination of the stimulation regimen, this study is subject to confounding due to unmeasured variables and measurement error. WIDER IMPLICATIONS OF THE FINDINGS: The present study suggests that there are limits to the extent that COS response can be predicted on the basis of known factors, or controlled by manipulation of treatment factors. Moreover, modifiable variation in response appears to be partially attributable to differences between surgeons performing oocyte retrieval. Consequently, consistent prevention of ineffective or unsafe responses to COS is not likely to be possible at present. Our results highlight the importance of blinding surgeons in RCTs. The data also suggest that there is likely to be limited scope for personalized treatment unless additional predictors of ovarian response can be identified. STUDY FUNDING/COMPETING INTERESTS: J.W. is funded by a Doctoral Research Fellowship from the National Institute for Health Research (DRF-2014-07-050) supervised by S.A.R. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health. J.W. is a statistical editor of the Cochrane Gynaecology and Fertility Group. S.A.R. is a statistical editor for Human Reproduction. J.W. also declares that publishing peer-reviewed articles benefits his career. A.L.M. has received consultation fees from MSD, Merck Serono, Ferring, TEVA, Roche, Beckman Coulter. |
format | Online Article Text |
id | pubmed-6276674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62766742019-03-20 How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study Rustamov, Oybek Wilkinson, Jack La Marca, Antonio Fitzgerald, Cheryl Roberts, Stephen A Hum Reprod Open Original Article STUDY QUESTION: How much variation in oocyte yield after controlled ovarian stimulation (COS) can be accounted for by known patient and treatment characteristics? SUMMARY ANSWER: There is substantial variation in the COS responses of similar women and in repeated COS episodes undertaken by the same woman, which cannot be accounted for at present. WHAT IS ALREADY KNOWN: The goal of individualized COS is to safely collect enough oocytes to maximize the chance of success in an ART cycle. Personalization of treatment rests on the ability to reduce variation in response through modifiable factors. STUDY DESIGN, SIZE, DURATION: Multilevel modelling of a routine ART database covering the period 1 October 2008–8 August 2012 was employed to estimate the amount of variation in COS response and the extent to which this could be explained by immutable patient characteristics and by manipulable treatment variables. A total of 1851 treatment cycles undertaken by 1430 patients were included. The study was not subject to attrition, as cancelled cycles were included in the analysis. PARTICIPANTS/MATERIALS, SETTING, METHODS: Women aged 21–43 years undergoing ovarian stimulation for IVF (possibly with ICSI) using their own eggs at a tertiary care centre. MAIN RESULTS AND THE ROLE OF CHANCE: Substantial unexplained variation in COS response (oocyte yield): was observed (3.4-fold (95% CI: 3.12 to 3.61)). Only a relatively small amount of this variation (around 19%) can be explained by modifiable factors. A significant, previously undescribed predictor of response was the practitioner performing oocyte retrieval, with 1.5-fold variation between surgeons with the highest and lowest yields. LIMITATIONS REASONS FOR CAUTION: Although a large number of covariables were adjusted for in the analysis, including those that were used for dosing and determination of the stimulation regimen, this study is subject to confounding due to unmeasured variables and measurement error. WIDER IMPLICATIONS OF THE FINDINGS: The present study suggests that there are limits to the extent that COS response can be predicted on the basis of known factors, or controlled by manipulation of treatment factors. Moreover, modifiable variation in response appears to be partially attributable to differences between surgeons performing oocyte retrieval. Consequently, consistent prevention of ineffective or unsafe responses to COS is not likely to be possible at present. Our results highlight the importance of blinding surgeons in RCTs. The data also suggest that there is likely to be limited scope for personalized treatment unless additional predictors of ovarian response can be identified. STUDY FUNDING/COMPETING INTERESTS: J.W. is funded by a Doctoral Research Fellowship from the National Institute for Health Research (DRF-2014-07-050) supervised by S.A.R. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health. J.W. is a statistical editor of the Cochrane Gynaecology and Fertility Group. S.A.R. is a statistical editor for Human Reproduction. J.W. also declares that publishing peer-reviewed articles benefits his career. A.L.M. has received consultation fees from MSD, Merck Serono, Ferring, TEVA, Roche, Beckman Coulter. Oxford University Press 2017-11-13 /pmc/articles/PMC6276674/ /pubmed/30895232 http://dx.doi.org/10.1093/hropen/hox018 Text en © The Author 2017. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Rustamov, Oybek Wilkinson, Jack La Marca, Antonio Fitzgerald, Cheryl Roberts, Stephen A How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study |
title | How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study |
title_full | How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study |
title_fullStr | How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study |
title_full_unstemmed | How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study |
title_short | How much variation in oocyte yield after controlled ovarian stimulation can be explained? A multilevel modelling study |
title_sort | how much variation in oocyte yield after controlled ovarian stimulation can be explained? a multilevel modelling study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276674/ https://www.ncbi.nlm.nih.gov/pubmed/30895232 http://dx.doi.org/10.1093/hropen/hox018 |
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