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Record W6961117547 · doi:10.14288/1.0418462

In vitro fertilization (IVF) and twin pregnancy outcomes

2022· article· en· W6961117547 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2022
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsnot available
Fundersnot available
KeywordsTwin PregnancyPregnancyIn vitro fertilisationLogistic regressionGestational diabetesEmbryo transferBody mass indexGestation

Abstract

fetched live from OpenAlex

Background: IVF treatment has been used to transfer multiple embryos leading to multiple pregnancies which are known to be associated with increased maternal and perinatal complications. One question is whether IVF itself contributes to these risks. We compare the outcomes (maternal and perinatal) of IVF twin pregnancies with those of non-IVF twin pregnancies in the general population, in the province of British Columbia, Canada. We hypothesized twin pregnancies conceived by IVF are associated with a greater risk of maternal complications, abnormal labour and delivery events, and worse perinatal outcomes, compared with their non-IVF counterparts. Methods: An IVF twin pregnancy group (n = 161) was identified, in the former IVF Program of the University of British Columbia Centre for Reproductive Health (UBCCRH). We obtained these cases from the UBCCRH database between April 1, 1998, and March 31, 2010. A non-IVF twin pregnancy group was obtained by linking to the BC Perinatal Database to serve as a comparison group (n = 5525). Pregnancy outcomes and labour and delivery events were compared between IVF and non-IVF pregnancies using logistic and linear regression after adjustment for mothers' age, body mass index (BMI), and parity. Results: After adjustment for age, BMI, and parity, IVF twin pregnancies had higher rates of gestational hypertension, antepartum hemorrhage, gestational diabetes Mellitus, higher risks of C-section as the method of delivery and steroid use for lung maturation in IVF mothers. Also there were higher risks of IUGR and congenital anomalies in IVF babies, and IVF births had a lower birth weight, birth length, head circumference, and gestational age at birth. Conclusion: IVF twin pregnancies have an increased risk of some maternal complications, abnormal labour and delivery characteristics, and poorer perinatal outcomes, than naturally conceived twin pregnancies, even after adjustment for age, BMI, and parity. Further research is needed to clarify whether it is the infertility, maternal characteristics and co-morbidity associated with infertility, the IVF procedure or the potentially differential care of IVF patients that account for this increase in risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
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 score0.383
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.198
Teacher spread0.189 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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