SynthesisAsia Pacific journal of clinical nutrition2025
Systematic evaluation of risk prediction models for feeding intolerance in ICU patients during enteral nutrition.
Synthesis in Asia Pacific journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and risk factors for feeding intolerance in geriatric patients following nasogastric tube nutrition: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- An evaluation based on explainable machine learning: analysis of risk factors for enteral nutrition-related diarrhea in patients with severe stroke.Frontiers in nutrition · 2026Article
- Post-operative early enteral nutrition intolerance in elderly patients undergoing laparoscopic gastric cancer surgery: current status and nursing strategies.Frontiers in nutrition · 2026Article
- Risk prediction models for enteral nutrition feeding intolerance in critically ill patients: an overview of systematic reviews.Frontiers in nutrition · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
BACKGROUND AND
objectivesIt has been found that ICU patients may encounter various complications during enteral nutrition (EN). Of these, feeding intolerance (FI) is a common issue that often necessitates the reduction or cessation of EN. This study aims to evaluate risk prediction models for feeding intolerance (FI) in critically ill patients receiving EN by searching major public databases. METHODS AND STUDY
designWe searched for relevant studies in Embase, PubMed, Web of Science, Chinese Biomedical Database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang Data, and cqvip.com up until January 2024. Two researchers independently conducted the screening and data extraction processes, and the quality of the literature was assessed using bias risk assessment tools.
resultsA total of 13 references were included, and the subjects included patients with sepsis, pancreatitis or cerebral apoplexy; the incidence of FI was 35.2%-49.3%. The studies discussed the predictive performance of various models, with 11 studies reporting on their accuracy and calibration. The models demonstrated the area under the curve (AUC) of the receiver operating characteristic (ROC) curve or the concordance index (C-index) between 0.70 and 0.91, sensitivity from 0.81 to 0.93, and specificity from 0.68 to 0.83.
conclusionsThere is a critical need for risk prediction models for FI in critically ill patients on EN that are both internally and externally validated and exhibit high performance.
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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 Socratic graph.