ArticleInternational journal of environmental research and public health2022
Temporal Validation of Chiang Mai University Intussusception Failed Reduction Score (CMUI).
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A comparison of the success rate of pneumatic reduction in intussusception between general anesthesia and deep sedation: a randomized controlled trial.Pediatric surgery international · 2023Trial
- Fluoroscopic image-driven deep learning model for predicting intussusception irreducibility during air enema in children.BMC medical imaging · 2026Article
- Opioid Administration and Reduction of Pediatric Ileocolic Intussusception.JAMA network open · 2025Article
- Developing a nomogram for predicting surgical intervention in pediatric intussusception after hydrostatic reduction.Frontiers in pediatrics · 2023Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to validate the "Chiang Mai University Intussusception Failed Score (CMUI)" for intussusception non-operative reduction. Both a 2-year retrospective and a 5-year prospective consecutive review of patients with intussusception were conducted. Data were collected from January 2013 to December 2020. Related retrospective data of a developmental set from two centers from January 2006 to December 2012 were used. Ten prespecified prognostic factors for failed reduction were collected and from these a predictive score was calculated. The actual results of non-operative reduction were collected and set as a reference standard. Altogether, 195 episodes of intussusception were found. Twenty-two patients were excluded due to contraindications; therefore, a total of 173 episodes were included in the validation dataset. The development data set comprised 170 episodes. We found that no statistical significance was found from comparing the areas under the ROC of two datasets (
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