Evidence map›Paper›PMID 40632706›Full record

ArticlePloS one2025

A retrospective analysis from NHANES 2003-2018 on the associations between inflammatory markers and coronary artery disease, all-cause mortality and cardiovascular mortality.

Tong Sun, Penglei Chen, Xuwei Zheng

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors.

Tong SunDepartment of Cardiology, Suzhou Hospital of Anhui Medical University, Suzhou, Anhui, China.
Penglei ChenDepartment of cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xuwei ZhengDepartment of cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID https://orcid.org/0009-0000-3504-1919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this research was to investigate the associations between inflammation markers and coronary artery disease (CAD), along with all-cause mortality and cardiovascular mortality.

methodsThis study utilized data from the National Health and Nutrition Examination Survey (NHANES) collected between 2003 and 2018. The platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic immune inflammation index (SII) were calculated based on blood test results. The diagnosis of CAD was obtained from self-reported cardiovascular health questionnaires. Participants' survival status was sourced from the National Death Index (NDI) of the National Center for Health Statistics (NCHS). Logistic and Cox regression models were employed to investigate the associations between PLR, NLR, MLR, and SII with CAD, all-cause mortality, and cardiovascular mortality.

resultsA total of 32,683 individuals from the 2003-2018 NHANES were involved. After adjusting for potential confounders, each 1-unit increase in log (NLR) and log (MLR) was associated with a 29% (95% CI: 1.15-1.46, P < 0.001) and 67% (95% CI: 1.40-1.99, P < 0.001) increase in the risk of CAD, respectively. Notably, when log (PLR) exceeded 4.93(PLR = 138.38) and log (SII) surpassed 6.11(SII = 450.34), the risk of CAD increased sharply (P < 0.001). Furthermore, individuals in the highest quartiles (Q4) of PLR, NLR, MLR, and SII had significantly higher risks of all-cause mortality (13%, 88%, 91%, and 42%, respectively) and cardiovascular mortality (48%, 194%, 139%, and 90%, respectively) compared to those in the lowest quartile (Q1), with all P-values <0.001. Moreover, MLR had the highest the area under the curve (AUC) value (AUC:0.642, 95% CI: 0.629-0.654), followed by NLR (AUC:0.600, 95% CI: 0.587-0.612) for distinguishing CAD.

conclusionIn this study, we found that PLR, NLR, MLR, and SII were associated with increased prevalence of CAD, as well as increased risks of all-cause and cardiovascular mortality. These inflammatory markers may serve as valuable clinical indicators for CAD, all-cause and cardiovascular mortality in the general population.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseInflammationAdultAgedBiomarkersCause of DeathFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsNutrition SurveysRetrospective StudiesRisk FactorsBiomarkers

Identifiers

PMID40632706
PMCPMC12240292

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.