ReviewReproductive biology and endocrinology : RB&E2026
Maternal, pregnancy, and neonatal outcomes associated with surrogacy: a scoping review.
Review in Reproductive biology and endocrinology : RB&E, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSurrogacy is considered to be a method that allows infertile couples to have a child with the assistance of a third party, known as the surrogate mother. Two forms exist: traditional surrogacy, in which the surrogate provides the oocyte and is thus genetically related to the newborn, and gestational surrogacy, in which no genetic link is present. Over recent decades, the use of surrogacy has markedly increased, highlighting the need to evaluate its potential benefits and risks. This scoping review aims to summarize maternal, pregnancy, and neonatal outcomes reported in gestational surrogacy studies and to assess how these outcomes vary according to clinical protocols, including oocyte source and embryo transfer type.
methodsThe review considered surrogate mothers and newborns as the population, clinical outcomes as the concept, and surrogacy arrangements as the context. Peer-reviewed studies reporting maternal, pregnancy, or neonatal outcomes were included regardless of design, sample size, or geographical setting. Studies limited to ethical, legal, or psychosocial aspects were excluded. A systematic search was conducted in PubMed, Scopus, and Web of Science. Two reviewers independently screened articles, extracted data, and charted outcomes such as pregnancy and live birth rates, miscarriage rates, and maternal complications. Disagreements were resolved by consensus.
resultsFrom 2,077 articles identified, 19 studies met the inclusion criteria. Pregnancy rate ranged from 24.0% to 61.1%, while live birth rate from 15.8% to 55.5%. No major differences emerged between autologous and donor oocytes, nor between single and double embryo transfer. Miscarriage rates ranged from 3.0% to 17.6%, with minimal variation between fresh and frozen cycles for both autologous (10.5% and 9.8%) and donor oocytes (8.4% and 9.6%), and between fresh and frozen embryos transfers (10.9% and 12.3%). Gestational diabetes ranges from 0% to 27.8%, hypertensive disorder from 0% to 21.2%, and placenta previa from 0% to 4.9%. Preeclampsia showed substantial variability, ranging from 1.2% to 17.1%.
conclusionThis scoping review suggests that heterogeneous clinical protocols in gestational surrogacy may adversely affect maternal and neonatal health. Further research- particularly prospective, multicenter studies- is needed to better understand and characterize these outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.