Evidence map›Paper›PMID 33990892›Full record

ArticleEndocrine2021

Low LDL-C levels are associated with risk of mortality in a Chinese cohort study.

Jie-Ming Lu, Meng-Yin Wu, Zong-Ming Yang, Yao Zhu, Die Li, Zhe-Bin Yu, Peng Shen, Meng-Ling Tang, Ming-Juan Jin, Hong-Bo Lin and 3 more

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Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
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  9. Possible mechanisms of cholesterol elevation aggravating COVID-19.International journal of medical sciences · 2021
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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

13 authors at 5 institutions in 1 country.

Jie-Ming LuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Meng-Yin WuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Zong-Ming YangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Yao ZhuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Die LiDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Zhe-Bin YuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Peng ShenDepartment of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China.
Meng-Ling TangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Ming-Juan JinDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China.
Hong-Bo LinDepartment of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China.
Li-Ming ShuiYinzhou District Health Bureau of Ningbo, Ningbo, Zhejiang, China.
Kun ChenDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China. ck@zju.edu.cn.
Jian-Bing WangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, 310058, Hangzhou, China. wangjianbing@zju.edu.cn.
Zhejiang University · CNNingbo Center for Disease Control and Prevention · CNSecond Affiliated Hospital of Zhejiang University · CNChildren's Hospital of Zhejiang University · CNNingbo Science and Technology Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAlthough low-density lipoprotein cholesterol (LDL-C) has been considered as a risk factor of atherosclerotic cardiovascular disease, limited studies can be available to evaluate the association of LDL-C with risk of mortality in the general population. This study aimed to examine the association of LDL-C level with risk of mortality using a propensity-score weighting method in a Chinese population, based on the health examination data.

methodsWe performed a retrospective cohort study with 65,517 participants aged 40 years or older in Ningbo city, Zhejiang. LDL-C levels were categorized as five groups according to the Chinese dyslipidemia guidelines in adults. To minimize potential biases resulting from a complex array of covariates, we implemented a generalized boosted model to generate propensity-score weights on covariates. Then, we used Cox proportional hazard regression models with all-cause and cause-specific mortality as the dependent variables to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs).

resultsDuring the 439,186.5 person years of follow-up, 2403 deaths occurred. Compared with the median LDL-C group (100-130 mg/dL), subjects with extremely low LDL-C levels (group 1) had a higher risk of deaths from all-cause (HR = 2.53, 95% CI:1.80-3.53), CVD (HR = 1.84, 95% CI: 1.28-2.61), ischemic stroke (HR = 2.29, 95% CI:1.32-3.94), hemorrhagic stroke (HR = 3.49, 95% CI: 1.57-7.85), and cancer (HR = 2.12, 95% CI: 1.04-4.31) while the corresponding HRs in LDL-C group 2 were relatively lower than that in group 1.

conclusionsLow LDL-C levels were associated with an increased risk of all-cause, CVD, ischemic stroke, hemorrhagic stroke, and cancer mortality in the Chinese population.

Indexed as

Cardiovascular DiseasesAdultChinaCholesterol, HDLCholesterol, LDLCohort StudiesHumansRetrospective StudiesRisk FactorsCholesterol, HDLCholesterol, LDLCancerCardiovascular diseaseLDL-C0MortalityStroke

Identifiers

PMID33990892
OpenAlexW3163436406

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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.