Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Clustering and classical analysis of clinical and placental phenotypes in fetal growth restriction and constitutional fetal smallness.

Placenta - 1 Jun 2016

Stanek Jerzy, Biesiada Jacek

Abstract excerpt

This study aims to determine whether placental examination can be used to distinguish between pathologic fetal growth restriction (FGR) and constitutional fetal smallness. Data were extracted from a clinicoplacental database of high risk pregnancies during the period 1994-2013. These data were used to compare the 590 consecutive cases having birth weights below the 10th percentile with the 5201 remaining cases...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Birth Weight
Share to Cluster Analysis
Share to Fetal Growth Retardation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Infant, Low Birth Weight

Share to Infant, Newborn

Share to Phenotype

Share to Placenta

Share to Pregnancy

Source

Identifiers

PMID: 27238719
DOI: 10.1016/j.placenta.2016.04.012

Genes

FGR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Clustering and classical analysis of clinical and placental phenotypes in fetal growth restriction and constitutional fetal smallness.PMID 27238719Read ↗

Clinicoplacental phenotypes vary with gestational age: an analysis by classical and clustering methods.Semantic proximity Read ↗

Similarity network fusion to identify phenotypes of small-for-gestational-age fetusesSemantic proximity Read ↗

Formulating a Meaningful and Comprehensive Placental Phenotypic Classification.Semantic proximity Read ↗

Fetal Growth Restriction: Mechanisms, Epidemiology, and ManagementSemantic proximity Read ↗

Phenotypes of maternal vascular malperfusion placental pathology and adverse pregnancy outcomes: A retrospective cohort study.Semantic proximity Read ↗

Phenotypic subclassification of preeclampsia through cluster analysis of preterm birth-related factors.Semantic proximity Read ↗

Placental Network Differences Among Obstetric Syndromes Identified With An Integrated Multiomics ApproachSemantic proximity Read ↗

Maternal Risk Factors and Short-Term Clinical Outcomes of Different Small Vulnerable Newborn (SVN) Phenotypes: A Retrospective Cohort Study of 998 CasesSemantic proximity Read ↗

Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.Semantic proximity Read ↗

The Update of Fetal Growth Restriction Associated with BiomarkersSemantic proximity Read ↗

Phenotypic Characteristics Associated with Preterm Births in the Indian PopulationSemantic proximity Read ↗

The Amsterdam Criteria and beyond: development of a Standardized Structured Reporting (SSR) tool for diagnosis of placental pathology.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.