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Record W3011677047 · doi:10.9778/cmajo.20190082

Medically assisted reproduction and the risk of preterm birth: a case–control study using data from the Quebec Pregnancy Cohort

2020· article· en· W3011677047 on OpenAlexafffundvenueabout
Jessica Gorgui, Odile Sheehy, Jacquetta M. Trasler, William D. Fraser, Anick Bérard

Bibliographic record

VenueCMAJ Open · 2020
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalMcGill University Health CentreUniversité de Sherbrooke
FundersFonds de Recherche du Québec - Santé
KeywordsMedicinePregnancyObstetricsOdds ratioConfidence intervalLive birthFertilityGestationConfoundingCohortCohort studySpontaneous conceptionPremature birthAssisted reproductive technologyGynecologyPopulationInfertilityBiologyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: The use of fertility treatments has been growing over the past decade, but these treatments are not without risk. We aimed to quantify the risk of preterm birth associated with the use of ovarian stimulators (OS) and assisted reproductive technologies (ART) overall and by type of fertility treatment. METHODS: We conducted a case-control analysis of data from the Quebec Pregnancy Cohort. We included singleton pregnancies ending in a live birth during the time when Quebec operated a universal reimbursement program for assisted reproduction (2010-2015). Fertility treatments were defined dichotomously, and pregnancies resulting from spontaneous conception were used as the reference. We categorized fertility treatments into subgroups: ovarian stimulators alone, ART alone and OS and ART combined. Preterm birth was defined as birth before 37 weeks' gestation. We estimated odds ratios (ORs) for the association between type of assisted reproduction and preterm birth using generalized estimating equation models and adjusted ORs for potential confounders. RESULTS: A total of 57 624 pregnancies were included in the study. During the study period, 2055 pregnancies were conceived through the use of OS, ART or both: 419 involved OS alone, 150 involved ART alone and 1486 involved both OS and ART. When we adjusted for potential confounders, conception with OS, ART or both was associated with an increased risk of preterm birth (adjusted OR 1.46, 95% confidence interval [CI] 1.25-1.72, 182 exposed cases). All types of assisted reproduction were associated with an increased risk of preterm birth compared with pregnancies conceived spontaneously (OS alone: adjusted OR 1.47, 95% CI 1.04-2.07; ART alone: adjusted OR 1.76, 95% CI 1.01-3.06; OS and ART combined: adjusted OR 1.43, 95% CI 1.19-1.73). Use of OS or ART or both was associated with an increased risk of late, moderate and extremely preterm birth (extremely preterm birth: adjusted OR 2.39, 95% CI 1.30-4.39). INTERPRETATION: Compared with pregnancies conceived spontaneously, pregnancies conceived through the use of OS, ART or both were associated with a 46% increased risk of preterm birth. Physicians should advise patients of the increased risks of late, moderate and extremely preterm birth so that they can make informed choices.

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)0.002
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 score0.065
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.069
GPT teacher head0.326
Teacher spread0.257 · 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

Citations15
Published2020
Admission routes4
Has abstractyes

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