Publications by authors named "N Tempest"

Background: An increased body mass index (BMI) can lead to subfertility; however, current literature fails to exclude the effect of other confounding medical conditions, raising questions regarding the direct link between increased BMI and fertility outcomes.

Objectives: To conduct a systematic review and meta-analysis to elucidate the effects of increased BMI on fertility outcomes in females with no other comorbidities.

Search Strategy: A comprehensive search was conducted using EMBASE, MEDLINE and the Cochrane library from January 2000 until July 2023.

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Rates of infertility are rising, and informed decision making is an essential part of reproductive life planning with the knowledge that ART success decreases dramatically while a woman's age increases and that high costs can often be incurred during fertility treatment. We aimed to determine the current knowledge of infertility and its treatments in the general public through an online survey. We received 360 complete responses.

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Study Question: Does endometrial compaction (EC) help predict pregnancy outcomes in those undergoing ART?

Summary Answer: EC is associated with a significantly higher clinical pregnancy rate (CPR) and ongoing pregnancy rate (OPR), but this does not translate to live birth rate (LBR).

What Is Known Already: EC describes the progesterone-induced decrease in endometrial thickness, which may be observed following the end of the proliferative phase, prior to embryo transfer. EC is proposed as a non-invasive tool to help predict pregnancy outcome in those undergoing ART, however, published data is conflicting.

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Article Synopsis
  • * A study introduced a machine learning approach to create predictive models that can distinguish between live normally sited pregnancies (LNSP) and combined adverse outcomes (CAO) like miscarriages or ectopic pregnancies based on blood samples.
  • * Analyzing metabolites and hormone levels from participants, the best prediction model combined both stable metabolite signals and hormone concentrations, achieving accuracy in differentiating LNSP from CAO.
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