Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study

Mikolajczyk RT, Stanford JB, Ecochard R (2008)
Reproductive Biology and Endocrinology 6(1): 61.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Mikolajczyk, Rafael T.; Stanford, Joseph B.; Ecochard, Rene
Abstract / Bemerkung
Background: To assess the amount of variability in ovarian follicular growth rate and maximum follicular diameter related to different centers, women and cycles of the same women in a multicenter observational study of follicular growth. Methods: Secondary analysis of a prospective cohort study from eight centers in Europe. There were 533 ultrasound examinations in 282 cycles of 107 women with normal fertility. A random effects model with center, woman and cycle as hierarchical units of variation was used to analyze mean follicular diameter on days preceding ovulation. Results: Follicular growth did not differ by center. There was homogenous growth across women and cycles, and the maximum follicular diameter before ovulation varied substantially across cycles but not across women. Many (about 40%) women had small maximum follicular diameter on the day before ovulation (<19 mm). Pre-ovulatory cycle length was not related to maximum follicular diameter. Conclusion: In normal fecundity, there is a substantial variation in maximum follicular diameter from cycle to cycle based on variation in the duration of follicular development, but the variation could not be explained by different characteristics of different women. Explanation of variation in follicular growth has to be found on the cycle level.
Erscheinungsjahr
2008
Zeitschriftentitel
Reproductive Biology and Endocrinology
Band
6
Ausgabe
1
Art.-Nr.
61
ISSN
1477-7827
Page URI
https://pub.uni-bielefeld.de/record/1783257

Zitieren

Mikolajczyk RT, Stanford JB, Ecochard R. Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study. Reproductive Biology and Endocrinology. 2008;6(1): 61.
Mikolajczyk, R. T., Stanford, J. B., & Ecochard, R. (2008). Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study. Reproductive Biology and Endocrinology, 6(1), 61. https://doi.org/10.1186/1477-7827-6-61
Mikolajczyk, R. T., Stanford, J. B., and Ecochard, R. (2008). Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study. Reproductive Biology and Endocrinology 6:61.
Mikolajczyk, R.T., Stanford, J.B., & Ecochard, R., 2008. Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study. Reproductive Biology and Endocrinology, 6(1): 61.
R.T. Mikolajczyk, J.B. Stanford, and R. Ecochard, “Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study”, Reproductive Biology and Endocrinology, vol. 6, 2008, : 61.
Mikolajczyk, R.T., Stanford, J.B., Ecochard, R.: Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study. Reproductive Biology and Endocrinology. 6, : 61 (2008).
Mikolajczyk, Rafael T., Stanford, Joseph B., and Ecochard, Rene. “Multilevel model to assess sources of variation in follicular growth close to the time of ovulation in women with normal fertility: a multicenter observational study”. Reproductive Biology and Endocrinology 6.1 (2008): 61.
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3 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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Healthy Post-Menarchal Adolescent Girls Demonstrate Multi-Level Reproductive Axis Immaturity.
Sun BZ, Kangarloo T, Adams JM, Sluss PM, Welt CK, Chandler DW, Zava DT, McGrath JA, Umbach DM, Hall JE, Shaw ND., J Clin Endocrinol Metab 104(2), 2019
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Patients' auto report of regularity of their menstrual cycles. Medical history is very reliable to predict ovulation. A cross-sectional study.
Sasaki RS, Approbato MS, Maia MC, Fleury EA, Giviziez CR, Zanluchi N., JBRA Assist Reprod 20(3), 2016
PMID: 27584603

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