Development and application of a nomogram model for predicting the risk of central precocious puberty in obese girls

A medical nomogram model of CPP risk in obese girls comprised of basal LH value, basal FSH value, and uterine volume, which can be used to identify those at high risk for progression of CPP in obese girls and develop individualized prevention programs.

Authors

Institutions

Publication Details

Journal
Frontiers in Pediatrics
Published
2024-08-29
DOI
https://doi.org/10.3389/fped.2024.1421775
Citations
1
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and application of a nomogram model for predicting the risk of central precocious puberty in obese girls

Lanfang Cao, Yang Li, Qingbo Xu, Ren-Hao Huang et al.
1 citations
Frontiers in Pediatrics
Cardiovascular Disease and Adiposity
0.40
article

Development and application of a nomogram model for predicting the risk of central precocious puberty in obese girls

Lanfang Cao, Yang Li, Qingbo Xu, Ren-Hao Huang, Liling Xie, Yang Yu
article en
1 citations

Abstract

A medical nomogram model of CPP risk in obese girls comprised of basal LH value, basal FSH value, and uterine volume, which can be used to identify those at high risk for progression of CPP in obese girls and develop individualized prevention programs.

Frontiers in PediatricsVol. 12
Nanchang University (CN), Jiangxi Provincial Children's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 34%
Cardiovascular Disease and Adiposity
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.