Evidence map›Paper›PMID 34684559›Full record

SynthesisNutrients2021

The Role of Protein and Fat Intake on Insulin Therapy in Glycaemic Control of Paediatric Type 1 Diabetes: A Systematic Review and Research Gaps.

Dieter Furthner, Andreas Lukas, Anna Maria Schneider, Katharina Mörwald, Katharina Maruszczak, Petra Gombos, Julian Gomahr, Claudia Steigleder-Schweiger, Daniel Weghuber, Thomas Pixner

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Guideline
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  6. Article
  7. Review
  8. Article
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  11. Experiences With Outpatient Nutrition Services Among Caregivers of Youth With Type 1 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  12. Review
  13. Article
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  16. Article
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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

10 authors at 1 institution in 1 country.

Dieter FurthnerDepartment of Paediatric and Adolescent Medicine, Salzkammergutklinikum Voecklabruck, 4840 Voecklabruck, Austria.
Andreas LukasDepartment of Paediatric and Adolescent Medicine, Salzkammergutklinikum Voecklabruck, 4840 Voecklabruck, Austria.
Anna Maria SchneiderObesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria.
Katharina MörwaldObesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria.
Katharina MaruszczakObesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria.
Petra GombosDepartment of Paediatric and Adolescent Surgery, Paracelsus Medical University, 5020 Salzburg, Austria.
Julian GomahrObesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria.
Claudia Steigleder-SchweigerDepartment of Paediatrics, Paracelsus Medical University, 5020 Salzburg, Austria.
Daniel WeghuberObesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-4389-0379
Thomas PixnerDepartment of Paediatric and Adolescent Medicine, Salzkammergutklinikum Voecklabruck, 4840 Voecklabruck, Austria.
Paracelsus Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbohydrate counting (CHC) is the established form of calculating bolus insulin for meals in children with type 1 diabetes (T1DM). With the widespread use of continuous glucose monitoring (CGM) observation time has become gapless. Recently, the impact of fat, protein and not only carbohydrates on prolonged postprandial hyperglycaemia have become more evident to patients and health-care professionals alike. However, there is no unified recommendation on how to calculate and best administer additional bolus insulin for these two macronutrients. The aim of this review is to investigate: the scientific evidence of how dietary fat and protein influence postprandial glucose levels; current recommendations on the adjustment of bolus insulin; and algorithms for insulin application in children with T1DM. A PubMed search for all articles addressing the role of fat and protein in paediatric (sub-)populations (<18 years old) and a mixed age population (paediatric and adult) with T1DM published in the last 10 years was performed. Conclusion: Only a small number of studies with a very low number of participants and high degree of heterogeneity was identified. While all studies concluded that additional bolus insulin for (high) fat and (high) protein is necessary, no consensus on when dietary fat and/or protein should be taken into calculation and no unified algorithm for insulin therapy in this context exists. A prolonged postprandial observation time is necessary to improve individual metabolic control. Further studies focusing on a stratified paediatric population to create a safe and effective algorithm, taking fat and protein into account, are necessary.

Indexed as

AdolescentAlgorithmsBlood GlucoseChildDiabetes Mellitus, Type 1Dietary FatsDietary ProteinsDrug Dosage CalculationsEatingFemaleGlycemic ControlHumansHyperglycemiaHypoglycemic AgentsInsulinInsulin Infusion SystemsBlood GlucoseDietary FatsDietary ProteinsHypoglycemic AgentsInsulinchildrendiabetesfathigh fathigh proteininsulinmixed mealnutritionpaediatricproteintype 1 diabetes mellitus

Identifiers

PMID34684559
PMCPMC8537759
OpenAlexW3207765264

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.