ArticleFrontiers in nutrition2022
A Descriptive Analysis of Macronutrient, Fatty Acid Profile, and Some Immunomodulatory Nutrients in Standard and Disease-Specific Enteral Formulae in Europe.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 6 citations in OpenAlex.
- Is YouTube™ a useful source of information on home parenteral nutrition?BMC public health · 2025Article
- Medical Nutrition Therapy and Physical Exercise for Acute and Chronic Hyperglycemic Patients with Sarcopenia.Nutrients · 2025Review
- High-pressure homogenization to improve the stability of liquid diabetes formula food for special medical purposes: Structural characteristics of caseinFood chemistry: X · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foods for special medical purposes (FSMPs) are commercially available formulations used as a source of nutrition when administered orally or by tube feeding. This study examines, for the first time, the nutritional composition of enteral formulae (EFs) according to European nutritional guidelines. We developed a descriptive study on 118 EFs from 2020 to 2021. Formulae were classified as standard (SFs) and disease-specific (DSF). According to the protein-energy content, SFs were classified into G1, normoprotein-normocaloric; G2, normoprotein-hypercaloric; G3, hyperproteic-normocaloric; and G4, hyperproteic-hypercaloric. Disease-related formulae for metabolic stress, renal, cancer, pulmonary, diabetes, malabsorption, and surgery were studied. Macronutrient distribution, fatty acid profile (monounsaturated [MUFA], polyunsaturated [PUFA], saturated [SFA]), derived fat quality indexes, and immuno-modulatory nutrients (omega-3, eicosapentaenoic acid [EPA], docosahexaenoic acid [DHA], arginine and nucleotides) per 1,500 kcal infused were calculated. In total, 53% were SFs, mainly normoproteic (G1, G2) with higher carbohydrate contents in normocaloric vs. hypercaloric SFs. The most balanced fatty acid profiles (MUFA: 17.7%; PUFA: 6.8%; SFA: 9.5%) belonged to G1. The PUFA/MUFA ratio: ≥0.5 was in 85.7% with a higher proportion of EPA+DHA (46%) vs. omega-3 (15.8%) in SFs. In DSFs (46.9%), higher carbohydrate content (>50%) was in malabsorption and surgery, whereas high-fat content (>50%) was in pulmonary and renal formulae. DSFs had higher SFA vs. MUFA content, except for diabetes. EPA and DHA were added in 45.5% (cancer, malabsorption, and surgery). Only 12.7% of DSFs had arginine and nucleotides. A higher proportion of SFs was found, in line with current European guidelines. Results highlighted a wide intra-group variability of nutrients among the formula selected. These findings are useful to evaluate the nutritional composition of EFs from a preventive and/or therapeutic perspective in clinical settings.
Indexed as
Identifiers
What OpenQuestion holds
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.