Evidence map›Paper›PMID 36648742›Full record

ArticleInternational urology and nephrology2023

Long-term visit-to-visit variability in low-density lipoprotein cholesterol is associated with poor cardiovascular and kidney outcomes in patients with primary nephrotic syndrome.

Xuan Lai, Zhao Cui, Hua Zhang, Yi-Miao Zhang, Fang Wang, Xin Wang, Li-Qiang Meng, Xu-Yang Cheng, Gang Liu, Ming-Hui Zhao

Abstract read
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In one paragraph

Article in International urology and nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 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

10 authors at 1 institution in 2 countries.

Xuan LaiRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Zhao CuiRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China. cuizhao@bjmu.edu.cn.
Hua ZhangResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
Yi-Miao ZhangRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Fang WangRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Xin WangRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Li-Qiang MengRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Xu-Yang ChengRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Gang LiuRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Ming-Hui ZhaoRenal Division, Institute of Nephrology, Key Laboratory of Renal Disease, Key Laboratory of CKD Prevention and Treatment, Peking University First Hospital, Peking University, Ministry of Health of China, Ministry of Education of China, Beijing, China.
Peking University · CN

Funding

National Natural Science Foundation of China 81870486National Natural Science Foundation of China 82070732National Natural Science Foundation of China 82090021
6 · The paper itself

Abstract

purposeIt is unclear whether long-term variability in low-density lipoprotein cholesterol (LDL-C) is associated with clinical outcomes in patients with nephrotic syndrome (NS).

methodsA large cohort of 1100 patients with primary NS underwent treatment and regular follow-up. Long-term variability in LDL-C was assessed by calculating its weighted standard deviation (w-SD). The primary endpoints of this study were the occurrence of arteriosclerotic cardiovascular disease (ASCVD) or kidney dysfunction. Factors associated with the w-SD of LDL-C were evaluated by linear regression. Associations of the w-SD of LDL-C with clinical outcomes were evaluated by Cox proportional hazards regression.

resultsOver a median follow-up of 44.8 (interquartile range, 26.8, 70.1) months, 198 patients developed ASCVD (45.9 cases per 1,000 patient-years), and 84 patients developed kidney dysfunction (17.6 cases per 1,000 patient-years). The incidence rates of the primary outcomes increased across the quartiles of the w-SD of LDL-C (log-rank, P < 0.001). Multivariate Cox regression analysis showed that higher LDL-C variability was associated with an increased risk of ASCVD [hazard ratio (HR), 2.236; 95% confidence interval (CI), 1.684-2.969, P < 0.001] and an increased risk of kidney dysfunction (HR, 3.047; 95% CI 2.240-4.144, P < 0.001). The results were similar after adjusting the w-SD of LDL-C by its related parameters (baseline and mean LDL-C as well as mean total cholesterol), although the mean LDL-C was also an independent risk factor for ASCVD and kidney dysfunction.

conclusionLong-term variability in LDL-C was independently associated with the risk of ASCVD and kidney dysfunction in NS patients.

Indexed as

Cardiovascular DiseasesNephrotic SyndromeCholesterol, LDLHumansKidneyProportional Hazards ModelsRisk FactorsCholesterol, LDLArteriosclerotic cardiovascular diseaseDyslipidemiaKidney dysfunctionLDL-CNephrotic syndromeVariability

Identifiers

PMID36648742
OpenAlexW4316814360

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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.