Evidence map›Paper›PMID 36099480›Full record

ArticleUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology2022

Prediction of large-for-gestational-age infant by fetal growth charts and hemoglobin A1c level in pregnancy complicated by pregestational diabetes.

M K Kiefer, M M Finneran, C A Ware, P Foy, S F Thung, S G Gabbe, M B Landon, W A Grobman, K K Venkatesh

Open access · hybridAbstract read
In one paragraph

Article in Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Maternal Birth Weight FromJournal of pregnancy · 2025
    Article
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

9 authors at 2 institutions in 1 country.

M K KieferDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
M M FinneranDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Medical University of South Carolina, Charleston, SC, USA.
C A WareDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
P FoyDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
S F ThungDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
S G GabbeDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
M B LandonDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
W A GrobmanDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
K K VenkateshDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-8043-556X
The Ohio State University · USMedical University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the ability of three fetal growth charts (Fetal Medicine Foundation (FMF), Hadlock and National Institutes of Child Health and Human Development (NICHD) race/ethnicity-specific) to predict large-for-gestational age (LGA) at birth in pregnant individuals with pregestational diabetes, and to determine whether inclusion of hemoglobin A1c (HbA1c) level improves the predictive performance of the growth charts.

methodsThis was a retrospective analysis of individuals with Type-1 or Type-2 diabetes with a singleton pregnancy that resulted in a non-anomalous live birth. Fetal biometry was performed between 28 + 0 and 36 + 6 weeks of gestation. The primary exposure was suspected LGA, defined as estimated fetal weight ≥ 90

resultsOf 358 assessed pregnant individuals with pregestational diabetes (34% with Type 1 and 66% with Type 2), 147 (41%) had a LGA infant at birth. Suspected LGA was identified in 123 (34.4%) by the Hadlock, 152 (42.5%) by the FMF and 152 (42.5%) by the NICHD growth chart. The FMF growth chart had the highest sensitivity (77% vs 69% (NICHD) vs 63% (Hadlock)) and the Hadlock growth chart had the highest specificity (86% vs 76% (NICHD) and 82% (FMF)) for predicting LGA at birth. The FMF growth chart had a significantly higher AUC (0.79 (95% CI, 0.74-0.84)) for LGA at birth compared with the NICHD (AUC, 0.72 (95% CI, 0.68-0.77); P < 0.001) and Hadlock (AUC, 0.75 (95% CI, 0.70-0.79); P < 0.01) growth charts. Prediction of LGA improved for all three growth charts with the inclusion of HbA1c measurement in comparison to each growth chart alone (P < 0.001 for all); the FMF growth chart remained more predictive of LGA at birth (AUC, 0.85 (95% CI, 0.81-0.90)) compared with the NICHD (AUC, 0.79 (95% CI, 0.73-0.84)) and Hadlock (AUC, 0.81 (95% CI, 0.76-0.86)) growth charts.

conclusionsThe FMF fetal growth chart had the best predictive performance for LGA at birth in comparison with the Hadlock and NICHD race/ethnicity-specific growth charts in pregnant individuals with pregestational diabetes. Inclusion of HbA1c improved further the prediction of LGA for all three charts. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Indexed as

Diabetes MellitusInfant, Newborn, DiseasesBirth WeightChildFemaleFetal DevelopmentFetal Growth RetardationFetal MacrosomiaFetal WeightGestational AgeGlycated HemoglobinGrowth ChartsHumansInfant, NewbornInfant, Small for Gestational AgePregnancyGlycated Hemoglobindiabetesdiabetes mellitusglycosylated hemoglobinhemoglobin A1clarge-for-gestational ageLGAmacrosomiapregestational diabetespregnancy

Identifiers

PMID36099480
PMCPMC10107738
OpenAlexW4295760289

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.