ArticleFrontiers in pediatrics2022
Analysis of risk factors and construction of a prediction model for short stature in children.
Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Short stature-related factors and nomogram-based risk prediction in children aged 7-12: evidence from Chaozhou, China.Frontiers in endocrinology · 2026Article
- Real-Life Growth Hormone Treatment Patterns in Children from China: A Report from Two Databases.Advances in therapy · 2025Observational
- Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.BMC endocrine disorders · 2025Article
- Spinal sagittal and coronal morphology characteristics in children with short stature.Quantitative imaging in medicine and surgery · 2025Article
- The Association of Vitamin D, Nerve Growth Factor (NGF), Brain-Derived Neurotrophic Factor (BDNF), and Glial Cell-Derived Neurotrophic Factor (GDNF) with Development in Children.Children (Basel, Switzerland) · 2025Article
- Research on the height of primary school students in Zhuzhou and analysis of influencing factors of short stature.Frontiers in pediatrics · 2025Article
- Prevalence and predictors of short stature in children aged 3-18 years in Hainan Province, China: a cross-sectional study.Frontiers in pediatrics · 2025Article
- [Early diagnosis and intervention for prepubertal short stature children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Review
- [Attaching great importance to the scientific assessment of short stature in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Short stature in children is an important global health issue. This study aimed to analyze the risk factors associated with short stature and to construct a clinical prediction model and risk classification system for short stature. Methods: This cross-sectional study included 12,504 children aged 6-14 years of age from 13 primary and secondary schools in Pingshan District, Shenzhen. A physical examination was performed to measure the height and weight of the children. Questionnaires were used to obtain information about children and their parents, including sex, age, family environment, social environment, maternal conditions during pregnancy, birth and feeding, and lifestyle. The age confounding variable was adjusted through a 1 : 1 propensity score matching (PSM) analysis and 1,076 children were selected for risk factor analysis. Results: The prevalence of short stature in children aged 6-14 years was 4.3% in the Pingshan District, Shenzhen. The multivariate logistic regression model showed that the influencing factors for short stature were father's height, mother's height, annual family income, father's level of education and parents' concern for their children's height in the future ( Conclusion: This study analyzed the risk factors for short stature in children and constructed a nomogram prediction model and a risk classification system based on these risk factors, as well as providing short stature screening and assessment individually.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.