T
Tom Tanbo
Researcher at Oslo University Hospital
Publications - 147
Citations - 5658
Tom Tanbo is an academic researcher from Oslo University Hospital. The author has contributed to research in topics: Pregnancy & In vitro fertilisation. The author has an hindex of 40, co-authored 145 publications receiving 5135 citations. Previous affiliations of Tom Tanbo include University of Oslo & Rikshospitalet–Radiumhospitalet.
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Journal ArticleDOI
Impact of overweight and underweight on assisted reproduction treatment
Peter Fedorcsak,Per Olav Dale,Ritsa Storeng,Gudvor Ertzeid,Sverre Bjercke,Nan B. Oldereid,Anne Katerine Omland,Thomas Åbyholm,Tom Tanbo +8 more
TL;DR: Obesity is associated with lower chances for live birth after IVF and ICSI and with an impaired response to ovarian stimulation and with a increased risk of early pregnancy loss occurring before 6 weeks gestation.
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Obesity is a risk factor for early pregnancy loss after ivf or icsi
TL;DR: This association was examined by comparing pregnancy outcome in obese and lean women and found that insulin resistance is related to early pregnancy loss in obese women.
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Birth defects in children conceived by ICSI compared with children conceived by other IVF-methods; a meta-analysis
Rolv T. Lie,Anita Lyngstadaas,Karen Helene Ørstavik,Leiv S. Bakketeig,Geir Jacobsen,Tom Tanbo +5 more
TL;DR: The analysis does not indicate that the ICSI-procedure represents significant additional risks of major birth defects in addition to the risk involved in standard IVF, and data was limited, particularly on risks of specific categories of defects.
Journal ArticleDOI
Endometriosis-associated infertility: aspects of pathophysiological mechanisms and treatment options
TL;DR: Of the various methods of ART, intrauterine insemination, due to its simplicity, can be recommended in women with minimal or mild peritoneal endometriosis, even though insemination may yield a lower success rate than in women without endometiosis.
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Body weight, hyperinsulinemia, and gonadotropin levels in the polycystic ovarian syndrome: evidence of two distinct populations.
TL;DR: The data suggest that women with PCOS may be divided into two subgroups: those with obesity, insulin resistance, hyperinsulinemia, and normal/minimally elevated LH levels and those with normal BW, elevated LHLevels, and normoinsularinemia.