Evidence map›Paper›PMID 35873008›Full record

ArticleFrontiers in endocrinology2022

Comparisons of the Relationships Between Multiple Lipid Indices and Diabetic Kidney Disease in Patients With Type 2 Diabetes: A Cross-Sectional Study.

Chun-Feng Lu, Wang-Shu Liu, Zhen-Hua Chen, Ling-Yan Hua, Xue-Qin Wang, Hai-Yan Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed, 22 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

6 authors at 3 institutions in 1 country.

Chun-Feng LuDepartment of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.
Wang-Shu LiuDepartment of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.
Zhen-Hua ChenDepartment of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.
Ling-Yan HuaDepartment of Ophthalmology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.
Xue-Qin WangDepartment of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.
Hai-Yan HuangDepartment of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.
Affiliated Hospital of Nantong University · CNNantong University · CNSecond Affiliated Hospital of Nantong University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dyslipidemia is a well-recognized risk factor for diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D). Growing evidences have shown that compared with the traditional lipid parameters, some lipid ratios may provide additional information of lipid metabolism. Thus, the present study aimed to investigate which lipid index was most related to DKD. Methods: This study was a cross-sectional study that enrolled patients with T2D from January 2021 to October 2021. Each participant was screened for DKD, and the diagnostic criterion for DKD is estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m Results: A total of 936 patients with T2D were enrolled in the study, 144 (15.38%) of whom had DKD. The LDL-C/Apo B ratios were positively correlated with eGFR ( Conclusion: In patients with T2D, the LDL-c/Apo B ratio was most closely associated with DKD among various lipid indices, and a lower LDL-C/Apo B ratio was associated with increased risks of DKD among patients with T2D.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesApolipoproteins BCholesterol, LDLCross-Sectional StudiesHumansApolipoproteins BCholesterol, LDLdiabetic kidney diseaselipid indiceslow-density lipoprotein cholesterol/apolipoprotein B ratiosmall dense low-density lipoprotein cholesteroltype 2 diabetes

Identifiers

PMID35873008
PMCPMC9301491
OpenAlexW4284677822

What Socratic 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 Socratic graph.