Evidence map›Paper›PMID 21756320›Full record

Trial reportNutrition journal2011

Chronologically scheduled snacking with high-protein products within the habitual diet in type-2 diabetes patients leads to a fat mass loss: a longitudinal study.

Santiago Navas-Carretero, Itziar Abete, M Angeles Zulet, J Alfredo Martínez

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Nutrition journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01264523 (Short-term Effect of the Intake of Moderately High-protein, Low-glycemic Load Products on Anthropometrical, Glucose Metabolism and Lipid Metabolism Biomarkers, in Type-2 Diabetes Patients), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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.

NCT01264523 nacompletednot on this map

Short-term Effect of the Intake of Moderately High-protein, Low-glycemic Load Products on Anthropometrical, Glucose Metabolism and Lipid Metabolism Biomarkers, in Type-2 Diabetes Patients

TypeinterventionalSponsorClinica Universidad de Navarra, Universidad de NavarraRan2009 to 2010Enrolled17ConditionsType-2 Diabetes, OverweightArmsChronologically scheduled snacking with 40-30-30 products
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Santiago Navas-CarreteroDepartment of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, Pamplona, Spain.
Itziar Abete
M Angeles Zulet
J Alfredo Martínez
Universidad de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is the most relevant overnutrition disease worldwide and is associated to different metabolic disorders such as insulin resistance and type-2 diabetes. Low glycemic load foods and diets and moderately high protein intake have been shown to reduce body weight and fat mass, exerting also beneficial effects on LDL-cholesterol, triglyceride concentrations, postprandial glucose curve and HDL-cholesterol levels. The present study aimed at studying the potential functionality of a series of low glycemic index products with moderately high protein content, as possible coadjuvants in the control of type-2 diabetes and weight management following a chronologically planned snacking offer (morning and afternoon).

methodsThe current trial followed a single group, sequential, longitudinal design, with two consecutive periods of 4 weeks each. A total of 17 volunteers participated in the study. The first period was a free living period, with volunteers' habitual ad libitum dietary pattern, while the second period was a free-living period with structured meal replacements at breakfast, morning snack and afternoon snack, which were exchanged by specific products with moderately high protein content and controlled low glycemic index, following a scheduled temporal consumption. Blood extractions were performed at the beginning and at the end of each period (free-living and intervention). Parameters analysed were: fasting glucose, insulin, glycosylated hemoglobin, total-, HDL- and LDL-cholesterol, triglyceride, C - reactive protein and Homocysteine concentrations. Postprandial glucose and insulin were also measured. Anthropometrical parameters were monitored each 2 weeks during the whole study.

resultsA modest but significant (p = 0.002) reduction on body weight (1 kg) was observed during the intervention period, mainly due to the fat mass loss (0.8 kg, p = 0.02). This weight reduction was observed without apparently associated changes in total energy intake. None of the biochemical biomarkers measured was altered throughout the whole study.

conclusionsSmall changes in the habitual dietary recommendations in type-2 diabetes patients by the inclusion of specific low-glycemic, moderately high-protein products in breakfast, morning and afternoon snacks may promote body weight and fat-mass loss, without apparently altering biochemical parameters and cardiovascular risk-related factors.

trial registrationTrial registered at clinicaltrials.gov NCT01264523.

Indexed as

DietFeeding BehaviorAgedAnthropometryBiomarkersBlood GlucoseBody Mass IndexBody WeightCardiovascular DiseasesCholesterol, HDLCholesterol, LDLC-Reactive ProteinDiabetes Mellitus, Type 2Dietary CarbohydratesDietary ProteinsEnergy IntakeBiomarkersBlood GlucoseCholesterol, HDLCholesterol, LDLC-Reactive ProteinDietary CarbohydratesDietary ProteinsGlycated HemoglobinHomocysteineInsulinTriglycerides

Identifiers

PMID21756320
PMCPMC3155966
OpenAlexW2153083149

What OpenQuestion holds

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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 OpenQuestion graph.