Evidence map›Paper›PMID 26607500›Full record

ArticleLipids in health and disease2015

Discordant associations of lipid parameters with albuminuria and chronic kidney disease: a population-based study.

Kan Sun, Diaozhu Lin, Feng Li, Chulin Huang, Yiqin Qi, Shengneng Xue, Juying Tang, Chuan Yang, Yan Li, Meng Ren and 1 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  6. Serum and Urine Metabolites and Kidney Function.Journal of the American Society of Nephrology : JASN · 2024
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  17. Metformin or Acarbose Treatment Significantly Reduced Albuminuria in Patients with Newly Diagnosed Type 2 Diabetes Mellitus and Low-Grade Albuminuria.Medical science monitor : international medical journal of experimental and clinical research · 2018
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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

11 authors at 2 institutions in 1 country.

Kan SunDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Diaozhu LinDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Feng LiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Chulin HuangDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Yiqin QiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Shengneng XueDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Juying TangDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Chuan YangDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Yan LiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Meng RenDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China. renmeng80@139.com.
Li YanDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China. hfxyl@163.net.
Sun Yat-sen Memorial Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough dyslipidemia is related to the pathogenesis of renal insufficiency, which routinely available lipid measure is more applicable in estimation of kidney function is still uncertain. Our objective was to evaluate inconsistent associations of lipid profiles with both albuminuria and chronic kidney disease (CKD).

methodsWe performed a population-based study in 9730 subjects aged 40 years or older. Definitions of abnormalities in albumin excretion were according to the latest guidelines of American Diabetes Association's Standards of Medical Care. CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min per 1.73 m(2) or the presence of albuminuria.

resultsThere were 2274 (23.4%) participants categorized as low-grade albuminuria, 639 (6.6%) participants categorized as increased urinary albumin excretion and 689 (7.1%) participants categorized as CKD. Triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), Non HDL-C to HDL-C ratio, TG to HDL-C ratio were significantly correlated with urinary albumin to creatinine ratio (ACR), serum creatinine and eGFR (all P < 0.0001). Compare with other lipid parameters, TG to HDL-C ratio have shown the strongest correlation with increased odds of both increased urinary albumin excretion and CKD. No significant associations between lipid parameters and low-grade albuminuria were observed after adjustments for potential confounding factors.

conclusionOur study lends support to discordant associations of lipid parameters with albuminuria and renal function. TG to HDL-C ratio is a better marker than other routine lipid measures for identifying renal insufficiency and should be given more consideration in the clinical practice.

Indexed as

AgedAlbuminuriaBiomarkersCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicSerum AlbuminSeverity of Illness IndexTriglyceridesBiomarkersCholesterol, HDLCholesterol, LDLSerum AlbuminTriglycerides

Identifiers

PMID26607500
PMCPMC4660634
OpenAlexW2172823722

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.