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Embryo selection: the role of time-lapse monitoring

Overview of attention for article published in Reproductive Biology and Endocrinology, December 2014
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Title
Embryo selection: the role of time-lapse monitoring
Published in
Reproductive Biology and Endocrinology, December 2014
DOI 10.1186/1477-7827-12-124
Pubmed ID
Authors

Peter Kovacs

Abstract

In vitro fertilization has been available for over 3 decades. Its use is becoming more widespread worldwide, and in the developed world, up to 5% of children have been born following IVF. It is estimated that over 5 million children have been conceived in vitro. In addition to giving hope to infertile couples to have their own family, in vitro fertilization has also introduced risks as well. The risk of multiple gestation and the associated maternal and neonatal morbidity/mortality has increased significantly over the past few decades. While stricter transfer policies have eliminated the majority of the high-order multiples, these changes have not yet had much of an impact on the incidence of twins. A twin pregnancy can be avoided by the transfer of a single embryo only. However, the traditionally used method of morphologic embryo selection is not predictive enough to allow routine single embryo transfer; therefore, new screening tools are needed. Time-lapse embryo monitoring allows continuous, non-invasive embryo observation without the need to remove the embryo from optimal culturing conditions. The extra information on the cleavage pattern, morphologic changes and embryo development dynamics could help us identify embryos with a higher implantation potential. These technologic improvements enable us to objectively select the embryo(s) for transfer based on certain algorithms. In the past 5-6 years, numerous studies have been published that confirmed the safety of time-lapse technology. In addition, various markers have already been identified that are associated with the minimal likelihood of implantation and others that are predictive of blastocyst development, implantation potential, genetic health and pregnancy. Various groups have proposed different algorithms for embryo selection based on mostly retrospective data analysis. However, large prospective trials are needed to study the full benefit of these (and potentially new) algorithms before their introduction into daily practice can be recommended.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Singapore 1 <1%
Australia 1 <1%
Unknown 226 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 42 18%
Student > Master 37 16%
Researcher 25 11%
Student > Ph. D. Student 17 7%
Student > Doctoral Student 11 5%
Other 42 18%
Unknown 55 24%
Readers by discipline Count As %
Medicine and Dentistry 52 23%
Agricultural and Biological Sciences 46 20%
Biochemistry, Genetics and Molecular Biology 40 17%
Engineering 7 3%
Computer Science 5 2%
Other 16 7%
Unknown 63 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2014.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Reproductive Biology and Endocrinology
#534
of 1,134 outputs
Outputs of similar age
#200,388
of 360,879 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#15
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.