Evidence map›Paper›PMID 28239800›Full record

ArticleThe international journal of cardiovascular imaging2017

Intermediate CD14

Shyh-Chyi Lo, Wen-Jeng Lee, Ching-Yi Chen, Bai-Chin Lee

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Single-cell analysis of CD14Frontiers in immunology · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Nature versus Number: Monocytes in Cardiovascular Disease.International journal of molecular sciences · 2021
    Review
  13. Article
  14. Review
  15. 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

4 authors at 3 institutions in 1 country.

Shyh-Chyi LoDepartment of Laboratory Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Wen-Jeng LeeDepartment of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
Ching-Yi ChenDepartment of Animal Science and Technology, National Taiwan University, Taipei, Taiwan.
Bai-Chin LeeDepartment of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Road, Taipei, Taiwan. lebai@ntu.edu.tw.ORCID http://orcid.org/0000-0002-7381-4318
National Taiwan University Hospital · TWNational Taiwan University · TWNational Taiwan University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating leukocyte subtypes and monocyte subsets are independent predictors of cardiovascular events. We hypothesized that an increased leukocyte subtype would predict severe coronary stenosis and extensive plaque involvement. We retrospectively analyzed clinical, laboratory, and coronary CT data in a total of 588 asymptomatic adults (69% men; mean age, 57 ± 9 years) undergoing a general health check-up. Intermediate CD14

Indexed as

Computed Tomography AngiographyMultidetector Computed TomographyPlaque, AtheroscleroticAgedAsymptomatic DiseasesBiomarkersChi-Square DistributionCoronary AngiographyCoronary StenosisCoronary VesselsFemaleGPI-Linked ProteinsHumansLeukocyte CountLipopolysaccharide ReceptorsLogistic ModelsBiomarkersFCGR3B protein, humanGPI-Linked ProteinsLipopolysaccharide ReceptorsReceptors, IgGCoronary artery diseaseCoronary CT angiographyCoronary plaqueLeukocyte subtypesMonocyte subsets

Identifiers

PMID28239800
OpenAlexW2590367767

What OpenQuestion holds

Textmetadata
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.