Evidence map›Paper›PMID 34181081›Full record

ArticleActa diabetologica2021

Association of remnant cholesterol with chronic kidney disease in middle-aged and elderly Chinese: a population-based study.

Pijun Yan, Yong Xu, Ying Miao, Xue Bai, Yuru Wu, Qian Tang, Zhihong Zhang, Jiong Yang, Qin Wan

Abstract read
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In one paragraph

Article in Acta diabetologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Association between remnant cholesterol level and gout in US adults.The Journal of international medical research · 2026
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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

9 authors at 2 institutions in 1 country.

Pijun YanDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.ORCID http://orcid.org/0000-0001-6692-2401
Yong XuDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Ying MiaoDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Xue BaiDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Yuru WuDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Qian TangDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Zhihong ZhangDepartment of General Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Jiong YangSouthwest Medical University, Luzhou, 646000, Sichuan, China.
Qin WanDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China. wanqin231@126.com.
Affiliated Hospital of Southwest Medical University · CNSouthwest Medical University · CN

Funding

grants from the National Key New Drug Creation and Manufacturing Program of Ministry of Science and Technology 2012ZX09303006-001
6 · The paper itself

Abstract

aimsLimited data regarding the association between remnant cholesterol (RC) and chronic kidney disease (CKD), largely based on an estimated glomerular filtration rate (eGFR) of < 60 mL/min/1.73 m

methodsIn total, 7356 Chinese participants aged ≥ 40 years were recruited from five regional communities in Luzhou city between May 2011 and December 2011. Fasting RC was calculated from the lipid profile measured by standard laboratory procedures. Multivariate logistic regression models were used to evaluate the possible association between RC and CKD.

resultsParticipants in the highest quartile of RC had higher body mass index, systolic and diastolic blood pressure, total cholesterol, triglyceride, low-density lipoprotein cholesterol (LDL-C), fasting and 2-h postload blood glucose, glycated hemoglobin A1C, prevalence of prediabetes, type 2 diabetes mellitus (T2DM), hypertension, CKD, albuminuria, low eGFR, and lower high-density lipoprotein cholesterol (HDL-C) and eGFR compared with those in the lowest quartile (all P for trend < 0.01). Multivariate logistic regression analysis demonstrated that the risk of CKD gradually increased across RC quartiles (P for trend < 0.01), and participants in the highest quartile of RC were at a significantly increased risk of prevalent CKD compared to those in the lowest quartile in total subjects (odds rate: 1.344, 95% confidence intervals 1.097-1.648, P < 0.01). In subgroup analysis, significant relation between RC level and increased risk of prevalent CKD was detected in women, subjects with overweight/obesity, non-prediabetes, hypertension, normal HDL-C, appropriate and high LDL-C, and without cardiovascular disease (CVD) events after multiple adjustments.

conclusionsHigher RC is independently associated with increased risk of prevalent CKD, and RC might serve as a new risk biomarker for CKD in a general middle-aged and elderly Chinese population, especially in women, subjects with overweight/obesity, non-prediabetes, hypertension, normal HDL-C, appropriate and high LDL-C, and without CVD events.

Indexed as

Diabetes Mellitus, Type 2Renal Insufficiency, ChronicAgedChinaCholesterolFemaleGlomerular Filtration RateHumansMiddle AgedRisk FactorsCholesterolAlbuminuriaChronic kidney diseaseEstimated glomerular filtration rateGeneral populationRemnant cholesterol

Identifiers

PMID34181081
OpenAlexW3173581822

What OpenQuestion holds

Textmetadata
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.