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Record W2130190912 · doi:10.1093/humrep/deu333

Assisted reproduction involving gestational surrogacy: an analysis of the medical, psychosocial and legal issues: experience from a large surrogacy program

2014· article· en· W2130190912 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Reproduction · 2014
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsMultiple Sclerosis Society of CanadaCReATe Fertility CentreWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsPregnancyPsychosocialObstetricsMedicineGestational ageCohortRetrospective cohort studyGynecologyPregnancy rateInternal medicinePsychiatryBiology

Abstract

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STUDY QUESTION: What are the medical, psychosocial and legal aspects of gestational surrogacy (GS), including pregnancy outcomes and complications, in a large series? SUMMARY ANSWER: Meticulous multidisciplinary teamwork, involving medical, legal and psychosocial input for both the intended parent(s) (IP) and the gestational carrier (GC), is critical to achieve a successful GS program. WHAT IS KNOWN ALREADY: Small case series have described pregnancy rates of 17-50% for GS. There are no large case series and the medical, legal and psychological aspects of GS have not been addressed in most of these studies. To our knowledge, this is the largest reported GS case series. STUDY DESIGN, SIZE AND DURATION: A retrospective cohort study was performed. Data were collected from 333 consecutive GC cycles between 1998 and 2012. PARTICIPANTS/MATERIALS, SETTING, METHODS: There were 178 pregnancies achieved out of 333 stimulation cycles, including fresh and frozen transfers. The indications for a GC were divided into two groups. Those who have 'failed to carry', included women with recurrent implantation failure (RIF), recurrent pregnancy loss (RPL) and previous poor pregnancy outcome (n = 96; 132 cycles, pregnancy rate 50.0%). The second group consisted of those who 'cannot carry' including those with severe Asherman's syndrome, uterine malformations/uterine agenesis and maternal medical diseases (n = 108, 139 cycles, pregnancy rate 54.0%). A third group, of same-sex male couples and single men, were analyzed separately (n = 52, 62 cycles, pregnancy rate 59.7%). In 49.2% of cycles, autologous oocytes were used and 50.8% of cycles involved donor oocytes. MAIN RESULTS AND THE ROLE OF CHANCE: The 'failed to carry' group consisted of 96 patients who underwent 132 cycles at a mean age of 40.3 years. There were 66 pregnancies (50.0%) with 17 miscarriages (25.8%) and 46 confirmed births (34.8%). The 'cannot carry pregnancy' group consisted of 108 patients who underwent 139 cycles at a mean age of 35.9 years. There were 75 pregnancies (54.0%) with 15 miscarriages (20.0%) and 56 confirmed births (40.3%). The pregnancy, miscarriage and live birth rates between the two groups were not significantly different (P = 0.54; 0.43; 0.38, respectively). Of the 178 pregnancies, 142 pregnancies were ongoing (surpassed 20 weeks) or had ended with a live birth and the other 36 pregnancies resulted in miscarriage (25.4%). Maternal (GS) complication rates were low, occurring in only 9.8% of pregnancies. Fetal anomalies occurred in only 1.8% of the babies born. LIMITATIONS, REASONS FOR CAUTION: Although it is a large series, the data are retrospective and conclusions must be drawn accordingly while considering bias, confounding and power. Due to the retrospective nature of this study, follow-up data on 6.3% of birth outcomes were incomplete. In addition, long-term follow-up data on GCs and IPs were not available to us at the time of publication. WIDER IMPLICATIONS OF THE FINDINGS: To our knowledge, this is the largest GS series published. We have included many details regarding not only the medical protocol but also the counseling and legal considerations, which are an inseparable part of the process. Data from this study can be included in discussions with future intended parents and gestational carriers regarding success rates and complications of GS.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.391
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it