Evidence map›Paper›PMID 39934709›Full record

Observational studyBMC pregnancy and childbirth2025

A nomogram for predicting adverse perinatal outcome with fetal growth restriction: a prospective observational study.

Ying Zhao, Lei Xu, Ping An, Jizi Zhou, Jie Zhu, Shuangping Liu, Qiongjie Zhou, Xiaotian Li, Yu Xiong

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Ying Zhao *Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Lei Xu *Chang Ning Maternity & Infant Health Hospital, Shanghai, China.
Ping AnObstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Jizi ZhouObstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Jie ZhuObstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Shuangping LiuObstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Qiongjie ZhouObstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Xiaotian Li *Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China. xiaotianli555@163.com.
Yu Xiong *Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China. xiongyu1535@163.com.

Funding

Medical Innovation Research Program of Shanghai, China 21Y11908000National Science Fund of Shanghai, China 22ZR1409000
6 · The paper itself

Abstract

backgroundFetal growth restriction (FGR) is a major determinant of perinatal morbidity and mortality. Our study aimed to develop a prediction model for the risk of FGR developing adverse perinatal outcome (APO) and evaluate its performance.

methodsThis was a prospective observational cohort study of consecutive singleton gestations meeting the ACOG-endorsed criteria for FGR from January 2022 to June 2023 at Obstetrics and Gynecology Hospital of Fudan University. Clinical information, ultrasound indicators and serum biomarkers were collected. The primary composite APO comprised one or more of: perinatal death, intrauterine demise, intraventricular hemorrhage, periventricular leukomalacia, seizures, necrotizing enterocolitis, neonatal respiratory distress syndrome, sepsis and the length of stay in the neonatal intensive care unit > 7 days. Least absolute shrinkage and selection operator regression was used to screen variables for nomogram model construction. The discrimination, calibration and clinical effectiveness of the nomogram were evaluated using receiver operating characteristic curve, calibration plots and decision curve analysis in training and validation cohorts.

resultsA total of 122 pregnancies were enrolled in the final statistical analysis. Five variables were identified to establish a nomogram, including gestational weeks at diagnosis, abnormal umbilical artery Doppler, abnormal uterine artery Doppler, and multiples of the median values of placental growth factor and soluble fms-like tyrosine kinase-1. The area under the receiver-operating-characteristics curve of 0.87 (95% CI, 0.75-0.99) and 0.86 (95% CI, 0.74-0.98) in the training and validation cohort respectively, indicated satisfactory discriminative ability of the nomogram. The calibration plots showed favorable consistency between the nomogram's predictions and actual observations. Decision curve analysis supported its practical value in a clinical setting.

conclusionsA nomogram was developed and validated to possess the promising capacity of predicting APO in FGR-afflicted neonates, and may prove useful in counseling and management of pregnancies complicated by FGR.

Indexed as

Fetal Growth RetardationNomogramsAdultBiomarkersFemaleGestational AgeHumansInfant, NewbornPlacenta Growth FactorPredictive Value of TestsPregnancyPregnancy OutcomeProspective StudiesROC CurveUltrasonography, PrenatalUmbilical ArteriesBiomarkersPlacenta Growth FactorVascular Endothelial Growth Factor Receptor-1Fetal growth restrictionPlacental growth factorPrognostic modelSoluble fms-like tyrosine kinase-1Umbilical artery DopplerUterine artery Doppler

Identifiers

PMID39934709
PMCPMC11812188

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.