Evidence map›Paper›PMID 31443185›Full record

SynthesisNutrients2019

The Effect of Diabetes-Specific Enteral Nutrition Formula on Cardiometabolic Parameters in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Omorogieva Ojo, Sharon Marie Weldon, Trevor Thompson, Rachel Crockett, Xiao-Hua Wang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Optimizing Nutrition Strategies for Diabetes Management in India: An Expert Opinion.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Article
  7. Article
  8. Article
  9. Nutrition Interventions for Remission of Type 2 Diabetes: Potential Role for Diabetes-Specific Nutrition Formulas.Clinical diabetes : a publication of the American Diabetes Association · 2025
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Omorogieva OjoDepartment of Adult Nursing and Paramedic Science, University of Greenwich, London SE9 2UG, UK. o.ojo@greenwich.ac.uk.ORCID 0000-0003-0071-3652
Sharon Marie WeldonDepartment of Adult Nursing and Paramedic Science, University of Greenwich, London SE9 2UG, UK.
Trevor ThompsonDepartment of Psychology, University of Greenwich, London SE10 9LS, UK.ORCID 0000-0001-9880-782X
Rachel CrockettDivision of Psychology, Faculty of Natural Sciences, University of Stirling, Scotland FK9 4LA, UK.
Xiao-Hua WangThe School of Nursing, Soochow University, Suzhou 215006, China.
University of Greenwich · GBBarts Health NHS Trust · GBSoochow University · CNUniversity of Stirling · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of diabetes is on the increase in the UK and worldwide, partly due to unhealthy lifestyles, including poor dietary regimes. Patients with diabetes and other co-morbidities such as stroke, which may affect swallowing ability and lead to malnutrition, could benefit from enteral nutrition, including the standard formula (SF) and diabetes-specific formulas (DSF). However, enteral nutrition presents its challenges due to its effect on glycaemic control and lipid profile.

aimThe aim of this review was to evaluate the effectiveness of diabetes-specific enteral nutrition formula versus SF in managing cardiometabolic parameters in patients with type 2 diabetes.

methodThis review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses. Three databases (Pubmed, EMBASE, PSYCInfo) and Google scholar were searched for relevant articles from inception to 2 January 2019 based on Population, Intervention, Comparator, Outcomes and Study designs (PICOS) framework. Key words, Medical Subject Heading (MeSH) terms, and Boolean operators (AND/OR) formed part of the search strategy. Articles were evaluated for quality and risks of bias.

resultsFourteen articles were included in the systematic review and five articles were selected for the meta-analysis. Based on the findings of the review and meta-analysis, two distinct areas were evident: the effect of DSF on blood glucose parameters and the effect of DSF on lipid profile. All fourteen studies included in the systematic review showed that DSF was effective in lowering blood glucose parameters in patients with type 2 diabetes compared with SF. The results of the meta-analysis confirmed the findings of the systematic review with respect to the fasting blood glucose, which was significantly lower (

conclusionThe results provide evidence to suggest that DSF is effective in controlling fasting blood glucose and glycated haemoglobin and in increasing HDL cholesterol, but has no significant effect on other lipid parameters. However, our confidence in these findings would be increased by additional data from further studies.

Indexed as

Diet, DiabeticEnergy MetabolismEnteral NutritionFood, FormulatedNutritive ValueAdultAgedAged, 80 and overBiomarkersBlood GlucoseDiabetes Mellitus, Type 2FemaleGlycated HemoglobinGlycemic IndexHumansLipidsBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanLipidsdiabetes specific formulaenteral nutritionenteral tube feedingfasting blood glucoseglycated haemoglobinlipidsstandard formulatype 2 diabetes

Identifiers

PMID31443185
PMCPMC6722646
OpenAlexW2968331075

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.