Evidence map›Paper›PMID 41250530›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025

[Incidence of small for gestational age infants among singleton live births and analysis of risk factors].

Yan-Fen Liu, Yu-Tian Liu, Yan-Fang Zhao, Xian-Jun Sun

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yan-Fen LiuDepartment of Neonatology, People's Hospital Affiliated to Shandong First Medical University/Jinan People's Hospital, Jinan 271100, China.
Yu-Tian LiuDepartment of Neonatology, People's Hospital Affiliated to Shandong First Medical University/Jinan People's Hospital, Jinan 271100, China.
Yan-Fang ZhaoDepartment of Neonatology, People's Hospital Affiliated to Shandong First Medical University/Jinan People's Hospital, Jinan 271100, China.
Xian-Jun SunDepartment of Neonatology, People's Hospital Affiliated to Shandong First Medical University/Jinan People's Hospital, Jinan 271100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the incidence of small for gestational age (SGA) infants among singleton live births and identify risk factors.

methodsClinical data for 1 020 singleton live-born infants and their mothers at People's Hospital Affiliated to Shandong First Medical University from January 2019 to January 2024 were retrospectively collected. The incidence of SGA was calculated, and univariate and multivariable logistic regression analyses were performed to determine independent risk factors.

resultsAmong 1 020 singleton live births, the incidence of SGA was 9.90%. SGA was more frequent in female neonates and in cases with lower placental weight or umbilical cord abnormalities (all

conclusionsThe occurrence of SGA among singleton live births is associated with preterm or post-term delivery, low placental weight, umbilical cord abnormalities, low pre-pregnancy BMI, inadequate gestational weight gain, gestational hypertension, anemia during pregnancy, and maternal smoking. Targeted strengthening of perinatal management is warranted to reduce the risk of SGA.

Indexed as

Infant, Small for Gestational AgeAdultFemaleHumansIncidenceInfant, NewbornLive BirthLogistic ModelsMalePregnancyRetrospective StudiesRisk FactorsYoung AdultNeonateRisk factorSingleton pregnancySmall for gestational age

Identifiers

PMID41250530
PMCPMC12688194

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.