ArticleBMC medicine2026
Serum uric acid levels among children and adolescents in China: percentile reference values and national prevalence estimates of hyperuricemia.
Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent advances in research on the association between paediatric hyperuricaemia and bone health.Frontiers in endocrinology · 2026Pooled it
- Body roundness index and adolescent metabolic syndrome: dose-response analysis and serum biomarker mediation.Frontiers in nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundNo nationally representative cut-offs of serum uric acid (SUA) have been proposed for screening high SUA levels in children and adolescents in China. We aim to develop percentile cut-offs for SUA among children and adolescents based on the China national survey.
methodsWe used SUA data from 42,227 normal-weight children and adolescents aged 6-17 years from the China National Nutrition and Health Survey of Children and Lactating Mothers conducted in 2016-2017. Age- and sex-specific percentile values for SUA were established using the General Additive Model for Location Scale and Shape (GAMLSS). Appropriate SUA cut-offs were selected according to the association between high SUA levels and the clustering of metabolic syndrome (MetS) risk factors. Furthermore, we assessed the effectiveness of the established cut-offs in screening high SUA levels compared with the adult cut-offs.
resultsWe determined smoothed age- and sex-specific SUA percentiles (P3-P97) using a normal-weight sample, showing a sharp increase in SUA levels in boys and a steady rise in girls from age 10, with both genders leveling off between ages 14 and 17. Based on the association of high SUA levels with ≥ 2 or ≥ 3 MetS risk factors, the P90 level of SUA could be a potential threshold for screening high SUA. Furthermore, we suggest simplified SUA cut-offs based on P90 values: for boys, > 360 μmol/L (ages 6-9), > 400 μmol/L (ages 10-12), and > 500 μmol/L (ages 13-17); for girls, > 350 μmol/L, > 380 μmol/L, and > 400 μmol/L. In the 2016-2017 Chinese national survey, the prevalence of high SUA was 13.2% with P90 cut-offs, 12.9% with simplified cut-offs, and 15.9% with adult cut-offs. Overweight and obese children and adolescents showed higher rates: 18.2% and 29.7% (P90), 17.6% and 28.5% (simplified), and 21.7% and 29.9% (adult).
conclusionsThe newly established SUA cut-offs, including the P90 values by age and sex and the simplified cut-offs, could be useful for screening high SUA levels or hyperuricemia among children and adolescents in China. The prevalence of high SUA in Chinese children and adolescents is concerning, particularly within overweight and obese populations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.