ArticlePediatric obesity2022
Novel clinical algorithm for hypothalamic obesity in youth with brain tumours and factors associated with excess weight gain.
Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Treatment of patients with tumor/treatment-related hypothalamic obesity in the first two years following surgical treatment or radiotherapy.Scientific reports · 2025Article
- Infantile Hypothalamic Hamartoma: A Rare Presentation of Isolated Obesity.JCEM case reports · 2024Article
- Approach to the Patient With Hypothalamic Obesity.The Journal of clinical endocrinology and metabolism · 2023Article
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Authors and funding
12 authors at 4 institutions in 1 country.
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Abstract
backgroundA standardized approach for identifying and treating hypothalamic obesity (HO) in children with hypothalamic tumours is lacking.
objectivesTo describe children with hypothalamic tumours at risk for obesity, assess outcomes of a novel HO clinical algorithm, and identify factors associated with weight gain.
methodsRetrospective analysis of youth with hypothalamic and suprasellar tumours, seen at a paediatric tertiary care centre from 2010 to 2020.
resultsThe study cohort (n = 130, 50% female, median age at diagnosis 5 [range 0-17]y) had a median duration of follow up of 5 (0.03-17)y. At last recorded body mass index (BMI) measurement, 34% had obesity, including 17% with severe obesity. Median onset of overweight and obesity after diagnosis was 6.2 (0.3-134) and 8.9 (0.7-65) months, respectively. After algorithm implementation (n = 13), the proportion that had an early dietitian visit (within 6 months) increased from 36% to 54%, (p = 0.498) and weight management referrals increased from 51% to 83% (p = 0.286). Higher BMI z-score at diagnosis was associated with overweight and obesity development (p < 0.001).
conclusionPatients with hypothalamic tumours commonly develop obesity. Use of a clinical algorithm may expedite recognition of HO. Further research is needed to identify predictors of weight gain and to develop effective treatment.
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