Evidence map›Paper›PMID 36033296›Full record

ArticleHeliyon2022

Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population.

Iokfai Cheang, Xu Zhu, Xinyi Lu, Shi Shi, Yuan Tang, Xin Yue, Shengen Liao, Wenming Yao, Yanli Zhou, Haifeng Zhang and 2 more

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
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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

12 authors.

Iokfai CheangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xu ZhuThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xinyi LuThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Shi ShiThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yuan TangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xin YueThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Shengen LiaoThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Wenming YaoThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yanli ZhouThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Haifeng ZhangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yanxiu LiThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xinli LiThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are strong association between remnant cholesterol (RC)/non-high density lipoprotein cholesterol (NHDL-C) and increase cardiovascular (CV) risk. The aim of present study was to investigate the association between target lipid parameters (RC and NHDL-C) and the risk of CV mortality in general population. Methods: Data set from an open database-National Health and Nutrition Examination Surveys (NHANES) 2003-2014 were extracted (n = 14992). Kaplan-Meier, multivariable COX regression, and restricted cubic spline (RCS) parameters. Results: Compared to the lowest quartile, RC (adjusted hazard ratio [HR] = 1.63 95%CI 1.05-2.52, P for trend = 0.037) and triglycerides (TG: Model 3: HR = 1.69 95%CI 1.10-2.60, P for trend = 0.049) in the highest quartile were independently associated with the increased cardiovascular mortality, while NHDL-C and apolipoprotein B (ApoB) in adjusted models did not show association (P for trend >0.05). In addition, RCS regression demonstrated that RC (P for nonlinearity = 0.011) and TG (P for nonlinearity = 0.010) levels had a similar J-shape association with CV mortality. Threshold effect analysis showed that when RC ≤ 29.3 mg/dL, the level of RC and CV mortality risk were positively correlated. Conclusions: Our findings suggest high RC levels are associated with an increased risk of CV mortality, which support that the integration of TG-rich lipoproteins parameters in risk assessment might optimize the identification and management of selected population.

Indexed as

Cardiovascular mortalityLipidNon-high density lipoprotein cholesterolRemnant cholesterolRisk assessment

Identifiers

PMID36033296
PMCPMC9399160

What OpenQuestion holds

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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.