Evidence map›Paper›PMID 28199386›Full record

ArticlePloS one2017

Associations of lipid profiles with insulin resistance and β cell function in adults with normal glucose tolerance and different categories of impaired glucose regulation.

Shuang Zheng, Hua Xu, Huan Zhou, Xingxing Ren, Tingting Han, Yawen Chen, Huiying Qiu, Peihong Wu, Jun Zheng, Lihua Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. HOMA-IR as a predictor of Health Outcomes in Patients with Metabolic Risk Factors: A Systematic Review and Meta-analysis.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022
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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

12 authors at 1 institution in 1 country.

Shuang ZhengDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Hua XuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Huan ZhouDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Xingxing RenDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Tingting HanDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yawen ChenDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Huiying QiuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Peihong WuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jun ZhengDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Lihua WangDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wei LiuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yaomin HuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Renji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate the associations of dyslipidemia with insulin resistance and β cell function in individuals with normal glucose tolerance (NGT) and different categories of impaired glucose regulation (IGR).

methods544 subjects (365 with dyslipidemia and/or IGR and 179 with normal lipid and glucose tolerance) were enrolled in the study. All subjects underwent oral glucose tolerance test (OGTT). HOMA-IR was used to evaluate insulin sensitivity. Disposition index (DI) was used to evaluate β cell function. Multiple linear regression analysis was performed to assess correlations among lipid profiles, insulin resistance and β cell function.

resultsAmong subjects with NGT, those with dyslipidemia had higher level of HOMA-IR but lower level of DI. While among subjects with different categories of IGR, those with dyslipidemia and CGI had significantly decreased DI. No obvious differences of insulin resistance or β cell function were found in IFG or IGT subjects with or without dyslipidemia. TG and HDL-C were correlated with HOMA-IR (β = 0.79, p <0.001; β = -0.38, p = 0.027, respectively, compared with subjects in the low level groups). Moreover, TG and TC were negatively correlated with DI (β = -2.17, p = 0.013; β = -2.01, p = 0.034 respectively, compared with subjects in the low level groups) after adjusting for confounding parameters.

conclusionsDyslipidemia induces insulin resistance and impaired β cell response to insulin resistance in individuals with NGT. Furthermore, dyslipidemia diminishes β cell function in subjects with CGI. TG and HDL-C were correlated with insulin resistance, and TG, TC were negatively correlated with β cell response to insulin resistance in non-diabetic individuals.

Indexed as

Insulin ResistanceAdultBlood GlucoseCholesterolCholesterol, HDLCross-Sectional StudiesDyslipidemiasFemaleGlucoseGlucose Tolerance TestHumansInsulin-Secreting CellsLipidsMaleMiddle AgedRegression AnalysisBlood GlucoseCholesterolCholesterol, HDLGlucoseLipidsTriglycerides

Identifiers

PMID28199386
PMCPMC5310856
OpenAlexW2588897240

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.