Evidence map›Paper›PMID 39587286›Full record

ArticleScientific reports2024

Association between low-density lipoprotein cholesterol levels and all-cause mortality in patients with coronary artery disease: a real-world analysis using data from an international network.

Thiago Luis Scudeler, Leandro Menezes Alves da Costa, Rafael Amorim Belo Nunes, Rafael Otto Schneidewind, Thiago Midlej Brito, Daniel Castanho Genta Pereira, Roger Pereira de Oliveira, Gabriela Chaves Santana, Helio Castello, Marcelo José de Carvalho Cantarelli and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Review
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  10. Can we better prevent cardiovascular disease? 'Stayin' healthy to stay alive'.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Review
  11. 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

11 authors.

Thiago Luis ScudelerDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil. thiago.scudeler@fm.usp.br.
Leandro Menezes Alves da CostaDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Rafael Amorim Belo NunesDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Rafael Otto SchneidewindDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Thiago Midlej BritoDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Daniel Castanho Genta PereiraDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Roger Pereira de OliveiraDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Gabriela Chaves SantanaDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Helio CastelloDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Marcelo José de Carvalho CantarelliDepartment of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Álvaro Avezum JuniorInternational Research Center, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current cholesterol guidelines recommend maintaining low levels of low-density lipoprotein cholesterol (LDL-C) in patients with coronary artery disease (CAD). However, recent studies have suggested that both very low and very high LDL-C levels may be associated with increased mortality in the general population. We utilized data from TriNetX, a global health research network, to investigate the association between LDL-C levels and all-cause mortality in patients with CAD. CAD patients were identified using the International Classification of Diseases, Tenth Revision (ICD-10) diagnosis code and stratified into six LDL-C categories: <50 mg/dL (cohort 1), 50-69.9 mg/dL (cohort 2), 70-99.9 mg/dL (cohort 3), 100-129.9 mg/dL (cohort 4), 130-159.9 mg/dL (cohort 5), and ≥ 160 mg/dL (cohort 6). Mortality data were obtained by linking patient records to death registries spanning the 15 years prior to the analysis. Weighted Cox proportional hazards regression models were employed to estimate hazard ratios (HRs) for mortality outcomes along with their 95% confidence intervals (CIs). A total of 2,145,732 individuals with CAD (mean age 72 years, SD 13; mean LDL-C 87.7 mg/dL, SD 37.7) were included in the analysis. Over a 15-year follow-up period, 191,779 deaths (8.9%) were recorded. After propensity score matching, patients with LDL-C < 50 mg/dL (37.05% vs. 33.11%, HR 1.144, 95% CI 1.125-1.164, p < 0.0001), LDL-C 130-159.9 mg/dL (26.47% vs. 25.71%, HR 1.032, 95% CI 1.007-1.059, p = 0.0136), and LDL-C ≥ 160 mg/dL (26.29% vs. 24.38%, HR 1.121, 95% CI 1.082-1.163, p < 0.0001) demonstrated a higher risk of all-cause mortality compared to those with LDL-C 100-129.9 mg/dL. Conversely, patients with LDL-C 50-69.9 mg/dL (27.88% vs. 29.68%, HR 0.898, 95% CI 0.883-0.913, p = 0.0002) and LDL-C 70-99.9 mg/dL (26.21% vs. 27.84%, HR 0.908, 95% CI 0.893-0.923, p = 0.0057) exhibited a lower risk of all-cause mortality compared to the reference group (LDL-C 100-129.9 mg/dL). In conclusion, our findings suggest a U-shaped relationship between LDL-C levels and all-cause mortality in patients with CAD, where both very low (< 50 mg/dL) and high (≥ 130 mg/dL) LDL-C levels are associated with increased mortality risk. These results highlight the need for individualized LDL-C targets in managing patients with CAD.

Indexed as

Cholesterol, LDLCoronary Artery DiseaseAgedCause of DeathFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsCholesterol, LDL

Identifiers

PMID39587286
PMCPMC11589159

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.