Evidence map›Paper›PMID 37845717›Full record

ArticleNutrition & metabolism2023

The effect of the modified fat-protein unit algorithm compared with that of carbohydrate counting on postprandial glucose in adults with type-1 diabetes when consuming meals with differing macronutrient compositions: a randomized crossover trial.

Yunying Cai, Mengge Li, Lun Zhang, Jie Zhang, Heng Su

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07278063 (Effect of Gender and Meal Composition on the Postprandial Glycemic Response in People With Type 1 Diabetes), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% 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.

NCT07278063 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Gender and Meal Composition on the Postprandial Glycemic Response in People With Type 1 Diabetes: Impact of Fat Content and Menstrual Cycle Phases

TypeinterventionalSponsorInstituto de Investigacion Sanitaria La FeRan2026 to 2028Enrolled50ConditionsType 1 Diabetes Mellitus, Glycemic Variability, Sex Characteristics, Menstrual CycleArmsLow Fat Mixed Meal, High Fat Mixed Meal
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Article
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 2 institutions in 1 country.

Yunying Cai *The Endocrinology Department, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China.
Mengge Li *Wenjiang District People's Hospital of Chengdu, Chengdu, 611130, China.
Lun ZhangThe Clinical Nutrition Department, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China.
Jie ZhangThe Endocrinology Department, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China.
Heng SuThe Endocrinology Department, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China. su_hen@hotmail.com.
Kunming University of Science and Technology · CNFirst People's Hospital of Yunnan Province · CN

Funding

Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases open project DKME202218Special Project for "Famous Doctor" of Yunnan Ten Thousand Talents Plan YNWR-MY-2019-020Training Project for Leading Talents of the Health and Family Planning Commission of Yunnan Province L-201624Yunnan Clinical Medical Research Center open project N2020LCZXKF-NM06
6 · The paper itself

Abstract

backgroundThe optimization of glucose control in type-1 diabetes is challenged by postprandial glycemic variability. This study aimed to compare the postprandial glycemic effects of carbohydrate counting and the modified fat-protein unit (FPU) algorithms following meals with different protein and fat emphases in adults with type-1 diabetes.

methodsThirty adults with type-1 diabetes aged 18 to 45 years participated in a randomized crossover trial. In a random order, participants consumed four test meals with equivalent energy and different macronutrient emphases on four separate mornings. The modified FPU algorithms and carbohydrate counting were used to determine the insulin dose for the test meals. A continuous glucose monitoring system was used to measured postprandial glycemia.

resultsCompared with carbohydrate counting, the modified FPU algorithm significantly decreased the late postprandial mean glucose levels (p = 0.026) in high protein-fat meals. The number of hypoglycemia episodes was similar between insulin dosing algorithms for the high protein-fat meals; hypoglycemic events were considerably higher for the modified FPU in the normal protein-fat meal (p = 0.042).

conclusionsThe modified FPU algorithm may improve postprandial glycemic control after consuming high protein-fat meals in adults with type-1 diabetes but may result in increased hypoglycemia risk when used with a normal protein-fat meal.

Indexed as

Carbohydrate countingHigh protein-fat mealModified fat-protein unit algorithmType − 1 diabetes

Identifiers

PMID37845717
PMCPMC10580506
OpenAlexW4387666844

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.