Evidence map›Paper›PMID 31686981›Full record

ArticleMediators of inflammation2019

Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study.

Yi-Zhong Yan, Jia-Ning Fan, Jia-Ming Liu, Yun-Hua Hu, Jiao-Long Ma, Jia He, Heng Guo, Xiang-Hui Zhang, Xin-Ping Wang, Shu-Gang Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 1 institution in 1 country.

Yi-Zhong YanDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Jia-Ning FanDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Jia-Ming LiuDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Yun-Hua HuDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.ORCID https://orcid.org/0000-0002-5537-5171
Jiao-Long MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Xiang-Hui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Xin-Ping WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.
Shu-Gang LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.ORCID https://orcid.org/0000-0002-9278-6412
Shu-Xia GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, China.ORCID https://orcid.org/0000-0002-8139-2813
Shihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study is aimed at evaluating the diagnostic value of blood lipid indicators (BLIs) for insulin resistance (IR) among major ethnic groups in Xinjiang, China, to identify the most valuable indicators and appropriate cut-off points for each ethnic group and to lay the foundation for the early detection, diagnosis, and treatment of metabolic diseases in remote rural areas.

methodsOverall, 418 Uygurs, 331 Kazakhs, and 220 Hans were randomly included in our study. The homeostasis model assessment was the gold standard for identifying IR. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value, and the nomogram was utilized to analyze the predictive value. The size of the area under the curve (AUC) reflected the accuracy of screening and prediction.

resultsDifferences in races were observed in terms of IR and BLIs, and the Kazakhs had the highest IR level at 5.27 mmol/L. The correlation between IR and BLIs differed among the three races. For the Kazakhs and Hans, all BLIs, except total cholesterol (TC), were correlated to IR. However, for the Uygurs, only the triglyceride (TG) level, TG/high-density lipoprotein cholesterol (HDL-C) ratio, and TC/HDL-C ratio were associated with IR. After further adjustment of confounding factors, these indicators were still correlated to IR. BLIs that independently correlated to IR in the three nationalities had a certain diagnostic value for IR. In terms of the AUC size, the TG level was the highest in Uygurs, the TG/HDL-C ratio was the highest for Kazakhs and Hans, and the corresponding best cut-off points for IR were 1.515, 1.230, and 1.495 mmol/L, respectively. In addition, for each race, when the indicators with a certain diagnostic value were combined, the diagnostic value for IR was higher.

conclusionBLIs had a certain diagnostic value for IR and could be used as a screening tool for IR among Uygurs, Kazakhs, and Hans in Xinjiang. These findings are extremely important for the prevention and treatment of IR and metabolic diseases in remote rural areas.

Indexed as

ChinaCholesterolEthnicityFemaleHumansInsulin ResistanceLipoproteins, HDLMalePovertyROC CurveTriglyceridesCholesterolLipoproteins, HDLTriglycerides

Identifiers

PMID31686981
PMCPMC6800908
OpenAlexW2978829717

What OpenQuestion holds

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LicenceCC BY
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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.