Evidence map›Paper›PMID 32375648›Full record

ArticleBMC cardiovascular disorders2020

Natural course of coronary artery calcium progression in Asian population with an initial score of zero.

Yi-Wen Shen, Yun-Ju Wu, Yi-Chi Hung, Chia-Chi Hsiao, Shan-Ho Chan, Guang-Yuan Mar, Ming-Ting Wu, Fu-Zong Wu

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. An Explainable Artificial Intelligence-enabled ECG Framework for the Prediction of Subclinical Coronary Atherosclerosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 3 institutions in 1 country.

Yi-Wen ShenDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Kaohsiung, Taiwan.
Yun-Ju WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Kaohsiung, Taiwan.
Yi-Chi HungDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Kaohsiung, Taiwan.
Chia-Chi HsiaoDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Kaohsiung, Taiwan.
Shan-Ho ChanDepartment of Medical Imaging and Radiology, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan.
Guang-Yuan MarPhysical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Ming-Ting WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Kaohsiung, Taiwan.
Fu-Zong WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Kaohsiung, Taiwan. cmvwu1029@gmail.com.ORCID 0000-0003-2556-6118
Kaohsiung Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TWKaohsiung Medical University · TW

Funding

Kaohsiung Veterans General Hospital VGHKS108-159Ministry of Science and Technology, Taiwan MOST108-2314-B-075B-008-
6 · The paper itself

Abstract

backgroundWe aimed to investigate the natural course of coronary artery calcium progression in an Asian population with a baseline coronary artery calcium (CAC) score of zero, and to determine subclinical coronary atherosclerosis.

methodsFour hundred fifty-nine subjects with at least two CAC scans with an initial score of zero were included. CAC progression (+) was defined by the development of any CAC (i.e., CAC > 0) during subsequent CT scans. Clinical characteristics and Framingham risk profiles were also recorded.

resultsAmong 459 subjects, 106 (23.09%) experienced CAC progression during the average follow-up period of 5.71 ± 2.68 years. Older age, male gender, HDL-C, total cholesterol and higher Framingham risk score were independently associated with CAC progression. Framingham risk score had the better discriminative ability (AUC = 0.660) to predict CAC progression compared to the other parameters with a sensitivity of 75.24% and specificity of 53.95%. For the double zero score with coronary artery atherosclerosis prediction, older age, triglycerides, hypertension, and Framingham risk score were significantly associated with these events. Among these parameters, Framingham risk score may be a relatively acceptable parameter with high negative predictive (NPV = 96.4%) value to rule out double zero score with obstructive coronary artery atherosclerosis scenario with an optimum cut-off value of <16.9 (AUC =0.652, sensitivity of 57.69%; specificity of 68.82%).

conclusionsA baseline zero CAC score in asymptomatic Chinese population with low to intermediate risk have a low incidence for CAC progression within the 5-years period. For CAC progression prediction, Framingham risk score with the cutoff < 11.1 may help confirm subjects at low risk to improve cardiovascular risk stratification and reclassification in the field of preventive cardiology.

Indexed as

Computed Tomography AngiographyCoronary AngiographyMultidetector Computed TomographyCoronary Artery DiseaseDisease ProgressionFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk FactorsTaiwanTime FactorsVascular CalcificationCoronary artery calciumZero score, vulnerable plaque

Identifiers

PMID32375648
PMCPMC7204036
OpenAlexW3023291072

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.