ArticlePediatric research2018
Risk score for the prediction of severe obesity in pediatric craniopharyngiomas: relative to tumor origin.
Article in Pediatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- MRI measures of hypothalamic injury are associated with glucagon-like peptide-1 receptor agonist treatment response in people with hypothalamic obesity.Diabetes, obesity & metabolism · 2021Trial
- Development and validation of a predictive model for hypothalamic obesity following craniopharyngioma resection.BMC endocrine disorders · 2026Article
- Appetite- and weight-inducing and -inhibiting neuroendocrine factors in Prader-Willi syndrome, Bardet-Biedl syndrome and craniopharyngioma versus anorexia nervosa.Endocrine connections · 2021Review
- Clinical features and prognosis of pediatric infradiaphragmatic craniopharyngioma relative to the tumor inflammatory response.Pediatric research · 2021Article
- Outcome of Chinese children with craniopharyngioma: a 20-year population-based study by the Hong Kong Pediatric Hematology/Oncology Study Group.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BackgroundWe aimed to develop a risk score to improve the prediction of severe obesity in pediatric craniopharyngiomas (PCs).MethodsOverall, 612 consecutive PCs were prospectively enrolled from six hospitals. Data from 404 participants were analyzed. Participants from three of the six hospitals (n=290) were used to develop a risk score. External validation of the developed risk score was conducted using the participants from the other three hospitals (n=114). Sequential logistic regression was used to develop and validate the risk score. The c statistic and a calibration plot were used to assess the discrimination and calibration of the proposed risk score.ResultsThe overall frequency of severe obesity was 16.1% (65/404). The risk score employed a scale of 0-16 and demonstrated good discriminative power, with an optimism-corrected c statistic of 0.820. Similar results were obtained from external validation, with a c statistic of 0.821. The risk score showed good calibration, with no apparent over- or under-prediction observed in the calibration plots.ConclusionsThis novel risk score is a simple tool that can help clinicians assess the risk of severe obesity in PCs, thereby helping to plan and initiate the most appropriate disease management for these patients in time.
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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.