Evidence map›Paper›PMID 28353655›Full record

Trial reportNutrients2017

Effects of Two Different Dietary Patterns on Inflammatory Markers, Advanced Glycation End Products and Lipids in Subjects without Type 2 Diabetes: A Randomised Crossover Study.

Yoona Kim, Jennifer B Keogh, Peter M Clifton

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 6 pooled it
2.4field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 6 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Yoona KimSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide SA 5001, Australia. yoona.kim@mymail.unisa.edu.au.
Jennifer B KeoghSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide SA 5001, Australia. Jennifer.Keogh@unisa.edu.au.
Peter M CliftonSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide SA 5001, Australia. peter.clifton@unisa.edu.au.
University of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies suggest that consumption of red and processed meat and refined grains are associated with type 2 diabetes and metabolic syndrome and increased inflammatory and fibrinolytic markers. We hypothesised that a diet high in red and processed meat and refined grains (HMD) would increase inflammatory markers and advanced glycation end products (AGEs) compared with a diet high in dairy, whole grains, nuts and legumes (HWD). We performed a randomised crossover study of two four-week interventions in 51 participants without type 2 diabetes (15 men and 36 women aged 35.1 ± 15.6 years; body mass index: 27.7 ± 6.9 kg/m²). No baseline measurements were performed. Plasma fluorescent AGEs, carboxymethyllysine, glucose, insulin, lipids, hs-CRP, interleukin 6 (IL-6) and plasminogen activator inhibitor-1 (PAI-1) were analysed after four weeks on each diet. IL-6, hs-CRP, AGEs and carboxymethyllysine were not different between diets but PAI-1 was higher after the HMD than after HWD ((median and interquartile range) 158, 81 vs. 121, 53 ng/mL

Indexed as

Diet, HealthyDiet, WesternFeeding BehaviorAdultBiomarkersCholesterolCross-Over StudiesDiabetes Mellitus, Type 2FemaleFood HandlingGlycation End Products, AdvancedHumansInflammationInsulin ResistanceLipidsLysineBiomarkersCholesterolGlycation End Products, AdvancedLipidsLysineN(6)-carboxymethyllysinePlasminogen InactivatorsTriglyceridesadvanced glycation productsdietary patterninsulin sensitivityplasminogen activator inhibitor type 1

Identifiers

PMID28353655
PMCPMC5409675
OpenAlexW2605154282

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.