ArticleFrontiers in endocrinology2025
Risk factors of low bone mass in young patients with transfusion-dependent beta-thalassemia.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Development of a prediction model for lower limb deformity in patients with hereditary multiple exostoses based on interpretable models and nomogram.BMC medical informatics and decision making · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To determine the prevalence of low bone mass and associated risk factors among children and adolescents suffering from transfusion-dependent beta-thalassemia (TDT). Methods: In this study, a total of 389 children and adolescents with TDT (236 males and 153 females), treated between January 2015 and December 2024 in the Department of Hematology at the First Affiliated Hospital of Guangxi Medical University, were selected. Subjects were categorized into those with normal bone mass and those with low bone mass based on bone mineral density assessments. Comparative analyses of various indicators between these two groups were performed. Results: The overall prevalence of low bone mass in TDT patients aged 2-19 years without height-adjusted bone mineral density(BMD)correction was 31.6%, with a prevalence of 33.4% in the 5-19-year subgroup. Multivariate analysis identified age (OR = 1.149, 95% CI 1.052-1.256, P < 0.05), IGF-1 levels < -2 SD (OR = 1.832, 95% CI 1.095-3.067, P < 0.05), and hypogonadism (OR = 2.990, 95% CI 1.087-8.229, P < 0.05) as independent risk factors for low bone mass. After applying height-adjusted BMD correction to the 5-19-year subgroup, the prevalence of low bone mass decreased to 15.8%. In this subgroup, multivariate analysis revealed age (OR = 1.137, 95% CI: 1.034-1.251, P < 0.05), normal BMI (OR = 0.383, 95% CI: 0.158-0.976, P < 0.05), and albumin (ALB) levels (OR = 0.866, 95% CI: 0.783-0.953, P < 0.05) as independent predictors of low bone mass. Conclusion: This study reveals a high prevalence of low bone mass in children and adolescents with TDT. Without height-adjusted BMD correction, the overall prevalence was 31.6% (33.4% in the 5-19-year subgroup), which significantly decreased to 15.8% in the 5-19-year subgroup after height-adjusted correction, highlighting that traditional BMD assessments may overestimate risk due to unaccounted short stature. Multivariate analysis demonstrated that advancing age consistently remained an independent risk factor (pre-correction OR=1.149; post-correction OR=1.137). The corrected model further identified normal BMI (OR=0.383) and ALB (OR=0.866) as protective factors, while IGF-1 levels < -2 SD (OR=1.832) and hypogonadism (OR=2.990) emerged as significant risks in the uncorrected model. Clinical management should prioritize height-adjusted BMD evaluation and integrated interventions targeting growth hormone axis function, gonadal status, and nutritional indicators to optimize bone health in TDT patients.
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.