Evidence map›Paper›PMID 40452210›Full record

Observational studyDiabetes & metabolism journal2025

First Trimester Mean Glucose Level on Continuous Glucose Monitoring Is Associated with Infant Birth Weight.

Phaik Ling Quah, Lay Kok Tan, Serene Pei Ting Thain, Ngee Lek, Shephali Tagore, Bernard Su Min Chern, Seng Bin Ang, Ann Wright, Michelle Jong, Kok Hian Tan

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Diabetes & metabolism journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05123248 (Integrating the Use of Calibration-Free Continuous Monitoring for Pregnancy Glucose Profiling), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05123248 nacompletednot on this map

Integrating the Use of Calibration-Free Continuous Monitoring for Pregnancy Glucose Profiling: I-Profile Study

TypeinterventionalSponsorKK Women's and Children's HospitalRan2018 to 2024Enrolled240ConditionsGestational Diabetes, PregnancyArmsBlinded Group, Unblinded group
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Phaik Ling QuahDivision of Obstetrics & Gynaecology, KK Women's and Children's Hospital, Singapore.
Lay Kok TanDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.
Serene Pei Ting ThainDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.
Ngee LekDuke-NUS Medical School, Singapore.
Shephali TagoreDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.
Bernard Su Min ChernMinimally Invasive Surgery Unit, KK Women's and Children's Hospital, Singapore.
Seng Bin AngFamily Medicine Service/Menopause Unit, KK Women's and Children's Hospital, Singapore.
Ann WrightDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.
Michelle JongDepartment of Endocrinology, Tan Tock Seng Hospital, Singapore.
Kok Hian TanDivision of Obstetrics & Gynaecology, KK Women's and Children's Hospital, Singapore.

Funding

Integrated Platform for Research in Advancing Metabolic Health Outcomes in Women and ChildrenNational Medical Research Council NMRC/CG/C008A/2017_KKH
6 · The paper itself

Abstract

backgruoundComparisons between continuous glucose monitoring (CGM) metrics during the first and second trimesters and conventional mid-pregnancy oral glucose tolerance test (OGTT) values in pregnant women without pre-existing diabetes for predicting infant birth weight are scarce.

methodsIn a longitudinal observational study, 113 participants had first and second trimester CGM data collected over a 7- to 14-day period, as well as three-point OGTT (fasting, 1-hour, and 2-hour) performed at mid-pregnancy (24 to 28 weeks). Multinomial logistic regression, adjusting for maternal ethnicity, education level, age, pre-pregnancy body mass index, parity, gestational diabetes mellitus diagnosis, gestational age at delivery, and type of CGM sensor was used to analyse the relationship between CGM metrics, OGTT glucose values and infant birth weight tertile (Clinical trial identification number: NCT05123248).

resultsIn the univariate analysis, CGM-derived metrics including higher mean glucose in the first trimester, higher % time above range in the second trimester, and higher % time in range (TIR) and lower % time below range (TBR) in both the first and second trimesters were associated with infants in the highest birth weight tertile. After adjusting for confounders, a 1-standard deviation increase in mean glucose level during the first trimester was significantly associated with the likelihood of the neonatal birthweight being in the highest tertile (adjusted odds ratio, 3.11; 95% confidence interval, 1.18 to 8.21; P=0.022). No significant associations were found between OGTT glucose values and infant birth weight outcomes.

conclusionCGM-derived mean glucose levels in early pregnancy may be a better predictor of an infant's birth weight within the highest tertile, compared to mid-pregnancy OGTT glucose values.

Indexed as

Birth WeightBlood GlucoseDiabetes, GestationalPregnancy Trimester, FirstAdultBlood Glucose Self-MonitoringContinuous Glucose MonitoringFemaleGlucose Tolerance TestHumansInfant, NewbornLongitudinal StudiesPregnancyPregnancy Trimester, SecondBlood GlucoseBirth weightContinuous glucose monitoringGlucose tolerance testPregnancy trimester, first

Identifiers

PMID40452210
PMCPMC12620695

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.