Evidence map›Paper›PMID 39126619›Full record

ArticleEndocrine2024

Remnant cholesterol and the risk of diabetic nephropathy progression to end-stage kidney disease in patients with type 2 diabetes mellitus: a longitudinal cohort study.

Yuancheng Zhao, Ke Liu, Yutong Zou, Yucheng Wu, Jia Yang, Xiang Xiao, Xuegui Ju, Qin Yang, Yanlin Lang, Fang Liu

Abstract read
In one paragraph

Article in Endocrine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
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

10 authors.

Yuancheng Zhao *Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Ke Liu *Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yutong Zou *Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yucheng WuDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Jia YangDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Xiang XiaoDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Xuegui JuDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Qin YangDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yanlin LangDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Fang LiuDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China. liufangfh@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDiabetic nephropathy (DN) is the most common cause of end-stage kidney disease (ESKD). Remnant cholesterol has been investigated as a predictor for the progression of DN in type 1 diabetes mellitus patients, as well as the incidence of DN in type 2 diabetes mellitus (T2DM) patients. This study aimed to evaluate the longitudinal relationship between baseline remnant cholesterol and kidney outcomes using a Chinese T2DM with biopsy-confirmed DN cohort.

methodsWe included 334 patients with T2DM and biopsy-confirmed DN during 2010-2019 West China Hospital T2DM-DN cohort. Remnant cholesterol was defined by Martin-Hopkins equation. Patients were divided into four groups based on the median (IQR) remnant cholesterol concentration at the time of renal biopsy. The kidney outcome was defined as ESKD, which was defined as the need for chronic kidney replacement therapy or estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m

resultsThe mean age was 51.1 years, and 235 (70%) were men. During follow-up, a total of 121 (36.2%) patients reached ESKD. The Kaplan‒Meier analysis showed that patients in the highest quartile (quartile 4) group had lower cumulative renal survival (log-rank test, p = 0.033) and shorter median renal survival time [34.0 (26.4-41.6) vs. 55.0 (29.8-80.2) months] than patients in the lowest quartile (quartile 1) group. By univariate analysis, the high remnant cholesterol group was associated with a higher risk of progression to ESKD. Moreover, the risk of progression to ESKD in the highest quartile was still 2.857-fold (95% CI 1.305-6.257, p = 0.009) higher than that in the lowest quartile, and one-SD increase of remnant cholesterol was associated with a higher risk (HR = 1.424; 95% CI 1.075-1.886, p = 0.014) of progression to ESKD, after adjusted for confounding factors.

conclusionsHigh remnant cholesterol is independently associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive marker of ESKD. CLINICAL RELEVANCE: Calculated remnant cholesterol has the advantages of being economical and clinically accessible. Moreover, to our knowledge, there are no longitudinal cohort studies for investigating the risk of progression of T2DM-DN to ESKD. In our study, higher remnant cholesterol was associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive predictor of ESKD.

Indexed as

CholesterolDiabetes Mellitus, Type 2Diabetic NephropathiesDisease ProgressionKidney Failure, ChronicAdultChinaCohort StudiesFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsCholesterolDiabetic nephropathyEnd-stage kidney diseaseRemnant cholesterolType 2 diabetes mellitus

Identifiers

PMID39126619
PMCPMC11554765

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.