Evidence map›Paper›PMID 30858716›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2019

Interaction between dietary patterns and

Junxiu Cai, Yan Zhang, Rebiya Nuli, Yangyi Zhang, Manfutong Abudusemaiti, Aizhatiguli Kadeer, Xiaoli Tian, Hui Xiao

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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  7. Sociodemographic and Regional Determinants of Dietary Patterns in Russia.International journal of environmental research and public health · 2020
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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

8 authors at 1 institution in 1 country.

Junxiu CaiDepartment of Occupational and Environmental Health, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China.
Yan ZhangDepartment of Pathology, Basic Medical Science Institute, International Education College, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China.
Rebiya NuliDepartment of Human Parasitology, Basic Medical Science Institute, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China.
Yangyi ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China, xh20108262@sina.com.
Manfutong AbudusemaitiDepartment of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China, xh20108262@sina.com.
Aizhatiguli KadeerDepartment of Epidemiology and Statistics, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China.
Xiaoli TianDepartment of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China, xh20108262@sina.com.
Hui XiaoDepartment of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China, xh20108262@sina.com.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to characterize dietary patterns in the Uyghur population and examined the relationship between dietary pattern, PATIENTS AND

methodsDietary patterns were defined using factor analysis, and associations between dietary patterns were evaluated using multivariate logistic regression analyses. Genotyping of seven SNPs of

resultsA total of 828 participants were enrolled in this study, including 491 people with T2DM and 337 healthy controls. Five dietary patterns were defined, and the results indicated that the "fruit" and "vegetables" dietary patterns were associated with a significant decrease in the risk of T2DM, whereas the "meats" and "grains" dietary patterns were associated with an increased risk of T2DM. Moreover, the "dairy product" dietary pattern showed no association with the risk of T2DM. Furthermore, our results revealed that the

conclusionOur studies suggest that dietary pattern and genetic polymorphisms of

Indexed as

dietary patternspolymorphismTCF7L2type 2 diabetes mellitusUyghur

Identifiers

PMID30858716
PMCPMC6385783
OpenAlexW2914711023

What OpenQuestion holds

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LicenceCC BY-NC
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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.