ReviewFrontiers in nutrition2025
Consensus recommendations for the nutritional management of children with cancer in limited resource settings: a report from the International Initiative for Pediatrics and Nutrition.
Review in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 2 of them syntheses that pooled it.
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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Guideline
- Pooled it
- The impact of ready-to-use-therapeutic-food (RUTF) on micronutrient levels in undernourished children with cancer: a randomized open-labelled controlled study.European journal of clinical nutrition · 2026Article
- Body composition changes and nutritional challenges in children with acute lymphoblastic leukaemia: Perspectives from low-resource settings.The Indian journal of medical research · 2026Review
- Establish Global Nutrition Research Strategies: The Meeting Report of the First SIOP Nutrition Research Forum.Nutrients · 2026Article
- Evaluating a Global Clinical Nutrition Program for Pediatric Oncology in Resource-Limited Settings.Annals of global health · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Malnutrition (under- and over-nutrition) is a critical challenge in pediatric oncology, particularly in low- and middle-income countries (LMIC), where supportive care resources are scarce. It negatively impacts treatment toxicity, survival rates, and quality of life. Despite the availability of broad guidelines, there is a lack of practical, context-adapted protocols for nutritional assessment and intervention in LMIC. The International Initiative for Pediatrics and Nutrition (IIPAN) developed adapted consensus-based protocols to address this gap. Methods: A multidisciplinary panel of experts in pediatric oncology and nutrition from high-income and LMIC settings collaborated to develop adapted nutrition assessment and intervention manuals. The process involved literature reviews, iterative expert consultations, field testing in LMIC hospitals, and subsequent revisions based on real-world application feedback. Training programs were designed to ensure implementation, including in person and virtual mentorship. Results: Two comprehensive manuals and one complementary material were developed: (1) Nutritional Assessment: A Training Manual in Anthropometry, (2) Nutritional Intervention: A Training Manual for Pediatric Oncology, and (3) Appendix for Nutritional Intervention. These resources provide structured detailed guidance on nutrition assessment, interventions, and the management of nutrition-related complications. Their scalability and accessibility are crucial for optimizing nutritional management and improving clinical outcomes in limited resource settings. Conclusion: These evidence-based, expert-designed adapted protocols address critical gaps in nutritional care for children with cancer in LMIC.
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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.