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Record W3097810347

Maternal and Neonatal Outcomes in Twin Pregnancies Complicated With Gestational Diabetes Mellitus Compared to Twin Pregnancies Without Gestational Diabetes Mellitus: A Population-based Retrospective Cohort Study of Nova Scotia Births

2020· dissertation· en· W3097810347 on OpenAlexaboutno aff
Norma Campbell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGestational diabetesMedicineObstetricsNova scotiaDiabetes mellitusRetrospective cohort studyTwin PregnancyCohort studyPopulationCohortPregnancyGestationGynecologySurgeryEndocrinologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Background: Gestational diabetes mellitus (GDM) is broadly defined as diabetes that is first diagnosed during pregnancy. It can lead to complications in singleton pregnancies for both mother and baby, such as excessively high birthweight and consequentially the need for Caesarean section, shoulder dystocia, birth trauma, gestational hypertension, and neonatal hypoglycemia. Women carrying twins have increased risk of adverse maternal and fetal outcomes such as growth restriction, discordant growth, pre-eclampsia and preterm delivery, but few studies have examined the outcomes of GDM among twin pregnancies. Objectives: This study investigated twin pregnancies, comparing women affected by GDM to those unaffected with respect to: (1) maternal outcomes including hypertensive disorders of pregnancy, placental abruption, preterm delivery, mode of delivery and antepartum length of stay and (2) neonatal outcomes of perinatal death, hypoglycemia, birthweight discordance, small for gestational age (SGA), large for gestational age (LGA), neonatal intensive care unit (NICU) admission, neonatal length of stay, respiratory distress and low Apgar score. Methods: The retrospective cohort study was carried out using provincial data from the Nova Scotia Atlee Perinatal Database (NSAPD) between 1988 and 2013. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) for the association between GDM and each outcome were estimated from logistic regression models with generalized estimating equations to account for nonindependence between twins. Results: 2374 women who delivered twins were included, 109 (4.6%) of whom had GDM. Outcomes with estimated aORs > 1.30 included hypertensive disorders of pregnancy (aOR 1.44, 95% CI 0.88-2.38), an antepartum length of stay > 48 hours (aOR 1.55, 95% CI 0.97-2.50) and Caesarean section (aOR 1.34, 95% CI 0.87-2.07). Neonates born to mothers with GDM had estimated aORs > 1.30 for the outcomes of hypoglycemia (aOR 3.07, 95% CI 1.82-5.19) and small for gestational age (aOR 1.46, 95% CI 0.99-2.15), while aORs < 0.77 were calculated for respiratory distress (aOR 0.70, 95% CI 0.41-1.22), and low Apgar score (aOR 0.53, 95% CI 0.23-1.23). Conclusions: The results of this study confirmed some associations previously noted in the literature while finding differing results of other associations. The study suggested an association between GDM and a longer antepartum length of stay in women pregnant with twins, an outcome not previously examined. Further research is warranted, ideally with larger study numbers and information on maternal glucose control during pregnancy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.450
Threshold uncertainty score0.905

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2020
Admission routes1
Has abstractno

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