Evidence map›Paper›PMID 30193578›Full record

ArticleLipids in health and disease2018

Different lipid profiles, insulin sensitivity, and insulin resistance among Han, Uygur, and Kazak men with normal glucose tolerance in Xinjiang, China.

Yan Wang, Jun Zhang, Yanrong Ma, Xiangxin Song, Suli Li, Xianqin Zhan, Lan Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Association of polymorphism genesBiomedical reports · 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

7 authors.

Yan WangEndocrinology Department of Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, Xinjiang, 830001, China. wang_yan1996@163.com.
Jun ZhangSchool of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Yanrong MaEndocrinology Department of Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, Xinjiang, 830001, China.
Xiangxin SongEndocrinology Department of Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, Xinjiang, 830001, China.
Suli LiEndocrinology Department of Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, Xinjiang, 830001, China.
Xianqin ZhanXinjiang Medicine University, Urumqi, Xinjiang, 830001, China.
Lan WuEndocrinology Department of Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, Xinjiang, 830001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to determine the differences in clinical parameters among Han, Uygur, and Kazak men with normal glucose tolerance.

methodsParticipants' data from the China National Diabetes and Metabolic Disorders Study pertaining to Han, Uygur, and Kazak men from the Xinjiang province were used (n = 930). Pearson's correlation was used to examine the relationship between HOMA-IR, Matsuda Index, and clinical characteristics.

resultsHOMA-IR of Han men was significantly higher than in Uygurs and Kazaks (P < 0.001). The Matsuda Index of Kazaks was significantly higher than that of Hans and Uygurs (P < 0.001). While Kazaks had the highest BMI, WC, SBP, and DBP; they also had the highest HDL-C and lowest TG (P < 0.001). TG of Uygurs was significantly higher than that of Hans and Kazaks (P < 0.001). In Hans and Kazaks, the TG/HDL-C ratio increased with HOMA-IR quartiles; there was no association in Uygurs. In Hans and Kazaks, the TG/HDL-C ratio decreased with Matsuda index quartiles; there was no association in Uygurs. Multivariate linear regression showed that HOMA-IR was independently associated with ethnicity, BMI and TG/HDL-C ratio (P < 0.01), while Matsuda index was independently associated with ethnicity, BMI, LDL-C levels (P < 0.001) and TG/HDL-C ratio (P < 0.001).

conclusionsIn conclusion, Han, Uygur, and Kazak men had different lipid profiles, BMI, and WC. Han men had the highest insulin resistance while Kazak men had the highest insulin sensitivity.

Indexed as

AdultChinaCholesterol, HDLEthnicityFemaleGlucoseGlucose Tolerance TestHumansInsulin ResistanceLipidsMaleMiddle AgedPyridinesTriglyceridescerivastatinCholesterol, HDLGlucoseLipidsPyridinesTriglyceridesEpidemiologyEthnic differencesGlucose metabolismHanInsulin resistanceInsulin sensitivityKazakLipid metabolismUygur

Identifiers

PMID30193578
PMCPMC6128984

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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.