Evidence map›Paper›PMID 40589053›Full record

ArticleActa obstetricia et gynecologica Scandinavica2025

A comparative study on infant growth between assisted reproductive technology pregnancy and natural pregnancy.

Anni Chen, Dongyang Wang, Yuyu Zhang, Qianqian Dai, Weixia Yang, Zixiao Zhou, Xuan Shi, Ziyue Zhou, Zijun Ni, Xun Zhuang

Abstract readComparative Study
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. 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

10 authors.

Anni ChenDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.ORCID https://orcid.org/0009-0000-2795-4398
Dongyang WangDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.ORCID https://orcid.org/0009-0002-2016-7417
Yuyu ZhangDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Qianqian DaiMedical Department, The Affiliated Maternity and Child Health Hospital of Nantong University, Nantong, Jiangsu, China.
Weixia YangDepartment of Pediatrics, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China.
Zixiao ZhouFaculty of Medical and Health, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0009-0002-8966-3355
Xuan ShiDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Ziyue ZhouDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Zijun NiSchool of Public Health, Nantong University, Nantong, Jiangsu, China.
Xun ZhuangDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.ORCID https://orcid.org/0000-0002-3974-8193

Funding

Jiangsu Provincial Research Hospital YJXYY202204Nantong Bureau of Science and Technology MS22022016Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX24_3541Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX25_3826Priority Academic Program Development of Nantong Talent Center 2022-Ⅲ-609toWX.Y
6 · The paper itself

Abstract

introductionGlobally, the number of assisted reproductive technology (ART) infants has surpassed 10 million, with its utilization steadily increasing. Numerous studies have shown that ART pregnancies are more prone to adverse pregnancy outcomes. ART infants are at a higher risk for adverse birth outcomes. However, the differences in growth between ART and natural pregnancy (NP) infants remain controversial. This study aims to explore differences in pregnancy outcomes, birth outcomes, and growth rates between ART and NP infants during the first year of life, and to analyze the association between ART and rapid growth. MATERIAL AND

methodsBirth records of the Nantong area, China, from January 2020 to June 2021 were extracted. A total of 29 886 pregnant women and 30 051 infants were included in the characteristic analysis. Based on the use of ART recorded in the database, the pregnant women and infants were categorized into ART and NP groups, with the NP serving as the control group. For the growth analysis, 29 447 singleton infants were included. Growth within 12 months was examined using the LMS method. The association between reproductive methods, perinatal sociodemographic characteristics, infant birth characteristics, and rapid growth was analyzed using GEE model. To further explore the association between ART and rapid growth, we performed subgroup analyses based on infants' sex, birth weight, and perinatal residence, which were statistically associated with rapid growth in the multivariate GEE model.

resultsART infants had higher rates of preterm birth (7.4% vs. 4.8%) and cesarean section (57.7% vs. 49.1%; p < 0.001 for both). Growth analysis displayed faster overall growth rates and higher rapid growth incidence in ART singleton infants. Multivariate GEE analysis showed that ART was associated with a higher incidence of rapid growth in both length (OR = 1.415, 95% CI: 1.316-1.521) and weight (OR = 1.236, 95% CI: 1.134-1.348).

conclusionsART singleton infants demonstrated a greater likelihood of experiencing rapid growth, despite being at higher risk of SGA, and achieved growth trajectories comparable to NP singleton infants. The findings suggest that ART may not influence postnatal growth. These results underscore the importance of tailored clinical monitoring and interventions for ART infants to ensure optimal growth and long-term health.

Indexed as

Reproductive Techniques, AssistedAdultChinaFemaleHumansInfantInfant, NewbornMalePregnancyPregnancy Outcomeassisted reproductive technologygrowthnatural pregnancypregnancy outcomesrapid growth

Identifiers

PMID40589053
PMCPMC12393995

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Registered trials

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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.