ArticleBMJ nutrition, prevention & health2023
Improving nutritional status of children using artificial intelligence-based mobile application postsurgery: randomised controlled trial.
Article in BMJ nutrition, prevention & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04782635 (Effect of Artificial Intelligence on Nutritional Status of Children Post Cardiac Surgery), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
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.
Effect of Artificial Intelligence on Nutritional Status of Children Post Cardiac Surgery
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Implementation and Applications of Artificial Intelligence in Nutrition: A Systematic Review of Use in Practice and Research.Nutrients · 2026Pooled it
- Artificial intelligence in surgical care within low-income and middle-income countries: a scoping review of development, validation, and deployment.EClinicalMedicine · 2026Review
- A comprehensive mobile nutritional application is associated with improved time efficiency and user experience in managing hospitalized children with malnutrition.BMC pediatrics · 2025Article
- Adherence to the Mediterranean Diet in Paediatric Patients with Inflammatory Bowel Disease and Functional Abdominal Pain Disorders-Comparative Study.Journal of clinical medicine · 2025Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Malnutrition is a common problem in children postsurgery especially in low-middle-income countries. Health-based mobile apps play an important role for better nutritional status. Methods: This is a two-arm randomised controlled trial, which was conducted at a tertiary care hospital, Rawalpindi. The study duration was 6 months from February 2021 to July 2021. The sample size with power of 80% and significance level of 5% was calculated to be 88. The intervention group was given a diet-related mobile app, and the usual care group was handed a pamphlet with diet instructions on discharge. Findings: The mean weight of all participants was 15 (SD 5.7) kg at the time of discharge. However, at the end of the 8th week, the mean weight of the participants in the usual care group was 16.5 (SD 7.2) kg and that of the intervention group was 17.1 (SD 5) kg. The average calorie consumed by the usual care group was 972 (SD 252) kcal and 1000.75 (SD 210) kcal by the intervention group after 8 weeks of discharge. The average protein consumed by the usual care group was 34.3 (SD 12.5) g and 39 (SD 6.4) g by the intervention group after 8 weeks of discharge. Interpretation: This study showed strength for the future of scalable modern technology for self-nutrition monitoring. There was a slight increase in the weight and nutritional intake of both groups. Trial registration number: NCT04782635.
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