Perspectives and opportunities of prognostic models use in infertility treatment (a review)

Paskar S.S.; Kalugina A.S.

doi:https://doi.org/10.17116/repro20172338-11

Paskar S.S.

Department of Obstetrics, Gynecology, and Neonatology, Acad. I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia, Saint Petersburg, Russia

Kalugina A.S.

Department of Obstetrics, Gynecology, and Neonatology, Acad. I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia, Saint Petersburg, Russia;
Ava-Peter Clinic, Saint Petersburg, Russia

Perspectives and opportunities of prognostic models use in infertility treatment (a review)

Authors:

Paskar S.S., Kalugina A.S.

More about the authors

Journal: Russian Journal of Human Reproduction. 2017;23(3): 8‑11

DOI: 10.17116/repro20172338-11

Read: 1670 times

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To cite this article:

Paskar SS, Kalugina AS. Perspectives and opportunities of prognostic models use in infertility treatment (a review). Russian Journal of Human Reproduction. 2017;23(3):8‑11. (In Russ.)
https://doi.org/10.17116/repro20172338-11

Подписка 2026 Проблемы репродукции (Russian Journal of Human Reproduction)

Использование инфографики авторами научных работ

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Abstract:

This literature review provides an overview of available prediction models in ART and represents information about the features of the use of prognostic models in infertility treatment. The opportunities and perspectives of prognostic models use in infertility treatment were considered.

Keywords:

ART

infertility treatment

prediction models

IVF prediction

Authors:

Paskar S.S.

Department of Obstetrics, Gynecology, and Neonatology, Acad. I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia, Saint Petersburg, Russia

Kalugina A.S.

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References:

McLaren JF. Infertility evaluation. Obstet Gynecol Clin North Am. 2012;39(4):453-463. https://doi.org/10.1016/j.ogc.2012.09.001
Inhorn MC, Patrizio P. Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century. Hum Reprod Update. 2015;21(4):411-426. https://doi.org/10.1093/humupd/dmv016
Zdravookhranenie v Rossii. Stat sb. Rosstat. 2013. (In Russ.).
Malizia BA, Hacker MR, Penzias AS. Cumulative live-birth rates after in vitro fertilization. N Engl J Med. 2009;360:236-243. https://doi.org/10.1056/NEJMoa0803072
de Mouzon J, Goossens V, Bhattacharya S, Castilla JA, Ferraretti AP, Korsak V, Kupka M, Nygren KG, Andersen AN. Assisted reproductive technology in Europe, 2007: results generated from European registers by ESHRE. Hum Reprod. 2012;4:954-966. https://doi.org/10.1093/humrep/des023
Devroey P, Fauser BC, Diedrich K, Evian Annual Reproduction (EVAR) Workshop Group 2008. Approaches to improve the diagnosis and management of infertility. Hum Reprod Update. 2009;15:391-408. https://doi.org/10.1093/humupd/dmp012
Hood L, Flores M. A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. N Biotechnol. 2012;29(6):613-624. https://doi.org/10.1016/j.nbt.2012.03.004
van der Steeg JW, Steures P, Eijkemans M, Habbema J, Bossuyt P, Hompes P, van der Veen F, Mole B. Do clinical prediction models improve concordance of treatment decisions in reproductive medicine? BJOG. 2006;113:825-831. https://doi.org/10.1111/j.1471-0528.2006.00992.x
Templeton A, Morris JK, Parslow W. Factors that affect outcome of in-vitro fertilization. Lancet. 1996;348:1402-1426. https://doi.org/10.1016/S0140-6736(96)05291-9
Stolwijk AM, Zielhuis GA, Hamilton CJ, Straatman H, Hollanders JM, Goverde HJ, van Dop PA, Verbeek AL. Prognostic models for the probability of achieving an ongoing pregnancy after in vitro fertilization and the importance of testing their predictive value. Hum Reprod. 1996;11:2298-2303. https://doi.org/10.1093/oxfordjournals.humrep.a019092
Hunault CC, Eijkemans MJ, Pieters MH, Te Velde ER, Habbema JD, Fauser BC. A prediction model for selecting patients undergoing in vitro fertilization for electve single embryo transfer. Fertil Steril. 2002;77:725-732. https://doi.org/10.1016/s0015-0282(01)03243-5
Lintsen AM, Eijkemans MJ, Hunault CC, Bouwmans CA, Hakkaart L, Habbema JD, Braat DD. Predicting ongoing pregnancy chances after IVF and ICSI: a national prospective study. Hum Reprod. 2007;22:2455-2462. https://doi.org/10.1093/humrep/dem183
van Loendersloot LL, van Wely M, Repping S, Bossuyt PM, van der Veen F. Templeton prediction model underestimates IVF success in an external validation. Reprod Biomed Online. 2011;22:597-602. https://doi.org/10.1016/j.rbmo.2011.02.012
Thurin A, Hardarson T, Hausken J, Jablonowska B, Lundin K, Pinborg A, Bergh C. Predictors of ongoing implantation in IVF in a good prognosis group of patients. Hum Reprod. 2005;20(7):1876-1880. https://doi.org/10.1093/humrep/deh872
Ottosen LD, Kesmodel U, Hindkjaer J, Ingerslev HJ. Pregnancy prediction models and eSET criteria for IVF patients — do we need more information? J Assist Reprod Gen. 2007;24:29-36. https://doi.org/10.1007/s10815-006-9082-9
Verberg MF, Eijkemans MJ, Macklon NS, Heijnen EM, Fauser BC, Broekmans FJ. Predictors of ongoing pregnancy after single-embryo transfer following mild ovarian stimulation for IVF. Fertil Steril. 2008;89:1159-1165. https://doi.org/10.1016/j.fertnstert.2007.05.020
Jacobs MB, Klonoff-Cohen H, Agarwal S, Kritz-Silverstein D, Lindsay S, Garzo VG. Predictors of treatment failure in young patients undergoing in vitro fertilization. J Assist Reprod Genet. 2016;33(8):1001-1007. https://doi.org/10.1007/s10815-016-0725-1
Nelson SM, Lawlor DA. Predicting live birth, preterm delivery, and low birth-weight in infants born from in vitro fertilization: a prospective study of 144,018 treatment cycles. PLoS Med. 2011;8(1). https://doi.org/10.1371/journal.pmed.1000386
Krog M, Prior M, Carlsen E, Loft A, Forman J, Pinborg A, Andersen AN. Fertilization failure after IVF in 304 couples — A case-control study on predictors and long-term prognosis. Eur J Obstet Gynecol Reprod Biol. 2015;184:32-37. https://doi.org/10.1016/j.ejogrb.2014.10.037
Dhillon RK, McLernon DJ, Smith PP, Fishel S, Dowell K, Deeks JJ, Bhattacharya S, Coomarasamy A. Predicting the chance of live birth for women undergoing IVF: a novel pretreatment counselling tool. Hum Reprod. 2016;31(1):84-92. https://doi.org/10.1093/humrep/dev268
Amirova AA. Prognozirovanie iskhodov EKO i EKO/IKSI u besplodnykh supruzheskikh par pri nekotorykh formakh besplodiya: Diss... kand. med. nauk. M. 2011;25. (In Russ.)
Yi Y, Lu G, Ouyang Y, lin G, Gong F, Li X. A logistic model to predict early pregnancy loss following in vitro fertilization based on 2601 infertility patients. Reprod Biol Endocrinol. 2016;31:14-15. https://doi.org/10.1186/s12958-016-0147-z
Luke B, Morton B, Brown MB, Wantman E, Stern JE, Baker VL, Widra E, Coddington CC 3rd, Gibbons WE, Ball GD. A prediction model for live birth and multiple births within the first three cycles of assisted reproductive technology. Fertil Steril. 2014;102(3):744-752. https://doi.org/10.1016/j.fertnstert.2014.05.020