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Record W7084041942 · doi:10.6084/m9.figshare.c.8002366

Gestational reactive hypoglycaemia and adverse pregnancy outcomes: a systematic review and meta-analysis

2025· other· en· W7084041942 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typeother
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyPolyhydramniosSmall for gestational ageApgar scoreGestational diabetesNeonatal hypoglycemiaBirth weightGestational ageNeonatal intensive care unit

Abstract

fetched live from OpenAlex

Abstract Background Reactive hypoglycaemia is a condition where blood glucose drops after a glucose load, and may be associated with adverse pregnancy outcomes. This study aimed to determine the association between gestational reactive hypoglycaemia (GRH) and the risk of adverse pregnancy outcomes including those related to diabetes. Methods We performed a systematic review and meta-analysis by searching 4 databases: Medline, Embase, Web of science, and Maternity & infant care database, from inception to 1 December 2023. The outcomes of interest were any reported adverse pregnancy outcomes including large for gestational age (LGA), macrosomia, small for gestational age (SGA), fetal growth restriction (FGR), low birth weight (LBW), caesarean delivery, neonatal intensive care unit (NICU) admission, neonatal hypoglycaemia, polyhydramnios, 5-min APGAR score < 7 and preterm delivery. Risk of bias assessment was performed with Newcastle Ottawa scale. Subgroup analysis was also performed. Results From 14,746 records, 42 studies were selected for full-text assessment. Thirty studies reporting on 114,148 participants, including 18,878 women with GRH, fulfilled eligibility criteria. Pregnancies with observed GRH had higher risk of SGA (RR = 1.49, 95%CI = 1.33, 1.68), LBW (RR = 1.35, 95%CI = 1.13, 1.60), FGR (RR = 1.21, 95%CI = 1.05, 1.41), and NICU admission (RR = 1.23, 95%CI = 1.02, 1.49) compared to the euglycaemic group. At subgroup analyses, GRH diagnosed at postload glucose < 3 mmol/l was associated with an increased risk of NICU admission (RR = 3.39, 95%CI = 1.56, 7.34); and GRH limited to post glucose tolerance test (GTT) was associated with increased risk of polyhydramnios (RR = 1.93, 95%CI = 1.17, 3.20) and SGA (RR = 1.90, 95%CI = 1.01, 3.58). Conclusions GRH is a condition not routinely diagnosed in pregnancy but associated with adverse fetal-neonatal outcomes as SGA, FGR, and NICU admission. At GTT, GRH is associated with the risk of polyhydramnios. More studies are still necessary to determine the threshold value for diagnosis of GRH and explore associations with other outcomes related to glucose dysmetabolism.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.383
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.3410.000

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 head0.068
GPT teacher head0.385
Teacher spread0.317 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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