ArticleRespiratory research2025
Reference equations for pulmonary function testing in healthy Chinese children aged 4-18 years.
Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 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
2 citing papers in PubMed.
- Comparative predictive modeling of pediatric spirometry reference equations in Jordanian children: Complex versus simple models.PLOS digital health · 2026Article
- Correction: Reference equations for pulmonary function testing in healthy Chinese children aged 4-18 years.Respiratory research · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
35 authors.
Funding
Abstract
backgroundAccurate spirometry reference equations are essential for diagnosing and managing respiratory conditions in children. Although the GLI Global Equations have been proposed for general use, there were few Asian populations available for inclusion. This study aims to develop and validate spirometric reference equations for healthy Chinese children.
methodsFrom May 2018 to May 2021, a cross-sectional study involving healthy Chinese Han children aged 4 to 18 years was conducted by 33 research centers across 24 regions in China. Participants were recruited directly from schools, and physical growth indices (height, weight) were measured. Spirometry tests were performed and demographic and medical history data were collected through questionnaires. New prediction equations were developed using multiple linear regression models with age, height, and weight as predictors. And comparisons were made with existing Caucasian and Chinese pediatric reference equations.
resultsLung function was assessed in 8929 healthy Chinese Han children. Age, weight, and height emerged as strong predictors of lung function (p < 0.001), and sex-specific reference equations incorporating these factors demonstrated high accuracy in internal validation, yielding mean z-scores within a narrow range of -0.004 to -0.069. In comparison, the Zapletal equations overestimated FEV
conclusionThis study developed new spirometry reference equations tailored for healthy Chinese children, with differences noted compared to existing equations. These equations reflect contemporary growth patterns and regional diversity in China, providing an additional option for clinical use.
trial registrationNO.: ChiCTR: 1,800,019,029. Registered 22 October 2018.
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.