Evidence map›Paper›PMID 37950632›Full record

Observational studyEuropean heart journal2023

Neutrophil counts and cardiovascular disease.

Jiao Luo, Jesper Qvist Thomassen, Børge G Nordestgaard, Anne Tybjærg-Hansen, Ruth Frikke-Schmidt

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in European heart journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 3 pooled it
29.6field-weighted citation impact, top 1% 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

124 citing papers in PubMed, 3 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Neutrophils as indicators of obesity-associated inflammation: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Inflammation and Immune Mechanisms in Atherosclerosis.Reviews in cardiovascular medicine · 2026
    Review
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. The neutrophil-renal-cholesterol axis: a new link between infection and atherosclerosis.American journal of physiology. Heart and circulatory physiology · 2026
    Article
  20. Article

64 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jiao LuoDepartment of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.
Jesper Qvist ThomassenDepartment of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.
Børge G NordestgaardDepartment of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark.
Anne Tybjærg-HansenDepartment of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.
Ruth Frikke-SchmidtDepartment of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark.ORCID 0000-0003-4084-5027
University of Copenhagen · DKCopenhagen University Hospital · DK

Funding

Danish Heart FoundationInnovation Fund Denmark 9084-00020BLundbeck Foundation R278-2018-804
6 · The paper itself

Abstract

BACKGROUND AND

aimsAnti-inflammatory trials have shown considerable benefits for cardiovascular disease. High neutrophil counts, an easily accessible inflammation biomarker, are associated with atherosclerosis in experimental studies. This study aimed to investigate the associations between neutrophil counts and risk of nine cardiovascular endpoints using observational and genetic approaches.

methodsObservational studies were conducted in the Copenhagen General Population Study (n = 101 730). Genetic studies were firstly performed using one-sample Mendelian randomization (MR) with individual-level data from the UK Biobank (n = 365 913); secondly, two-sample MR analyses were performed using summary-level data from the Blood Cell Consortium (n = 563 085). Outcomes included ischaemic heart disease, myocardial infarction, peripheral arterial disease, ischaemic cerebrovascular disease, ischaemic stroke, vascular-related dementia, vascular dementia, heart failure, and atrial fibrillation.

resultsObservational analyses showed associations between high neutrophil counts with high risks of all outcomes. In the UK Biobank, odds ratios (95% confidence intervals) per 1-SD higher genetically predicted neutrophil counts were 1.15 (1.08, 1.21) for ischaemic heart disease, 1.22 (1.12, 1.34) for myocardial infarction, and 1.19 (1.04, 1.36) for peripheral arterial disease; similar results were observed in men and women separately. In two-sample MR, corresponding estimates were 1.14 (1.05, 1.23) for ischaemic heart disease and 1.11 (1.02, 1.20) for myocardial infarction; multiple sensitivity analyses showed consistent results. No robust associations in two-sample MR analyses were found for other types of leucocytes.

conclusionsObservational and genetically determined high neutrophil counts were associated with atherosclerotic cardiovascular disease, supporting that high blood neutrophil counts is a causal risk factor for atherosclerotic cardiovascular disease.

Indexed as

AtherosclerosisBrain IschemiaCardiovascular DiseasesCoronary Artery DiseaseMyocardial InfarctionMyocardial IschemiaPeripheral Arterial DiseaseStrokeFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisNeutrophilsPolymorphism, Single NucleotideAtherosclerosisCardiovascular diseaseInflammationNeutrophil

Identifiers

PMID37950632
PMCPMC10719495
OpenAlexW4388593532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.