Evidence map›Paper›PMID 21416115›Full record

ArticleHeart and vessels2012

Development of a model for prediction of coronary atherosclerotic regression: evaluation of high-density lipoprotein cholesterol level and peripheral blood monocyte count.

Shigemasa Tani, Michiaki Matsumoto, Takeo Anazawa, Hirofumi Kawamata, Shingo Furuya, Hiroshi Takahashi, Kiyoshi Iida, Takehiko Washio, Narimichi Kumabe, Masashi Kobori and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Comparative the predictive value of neutrophil-to-HDL ratio and monocyte-to-HDL ratio for early neurological deterioration in acute ischemic stroke patients following intravenous thrombolysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The role of monocytosis and neutrophilia in atherosclerosis.Journal of cellular and molecular medicine · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

12 authors.

Shigemasa TaniDepartment of Cardiology, Nihon University Surugadai Hospital, 1-8-13 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-8309, Japan. tanishigem@yahoo.co.jp
Michiaki Matsumoto
Takeo Anazawa
Hirofumi Kawamata
Shingo Furuya
Hiroshi Takahashi
Kiyoshi Iida
Takehiko Washio
Narimichi Kumabe
Masashi Kobori
Ken Nagao
Atsushi Hirayama

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocytes and high-density lipoprotein cholesterol (HDL-C) play important roles in the process of coronary atherosclerosis. We hypothesized that a reasonable predictive model of coronary plaque regression might be constructed using the change in the peripheral monocyte count and the serum HDL-C level. The plaque volume, as assessed by volumetric intravascular ultrasound, was measured at the baseline and after 6 months of pravastatin therapy in 114 patients with coronary artery disease. After 6 months of pravastatin therapy, a significant decrease of the plaque volume by 9.9% (p < 0.0001, vs. baseline) was observed; furthermore, a corresponding increase of the serum HDL-C level and decrease of the peripheral blood monocyte count were also seen (12.5%, p < 0.01 and -7.3%, p < 0.0001). In a multivariate regression analysis using the serum lipids and traditional risk factors as the covariates, the increase in the serum HDL-C (β -0.56, p < 0.0001) and the decrease in monocyte count (β 0.23, p = 0.03) were identified as independent predictors of the plaque regression. A model for the prediction of plaque regression according to whether the achieved the change in (Δ) monocyte count and ΔHDL-C were above or below the median values was prepared. Among the four groups, the group with ΔHDL-C ≥8.8% and Δmonocyte count ≤-8.6% showed the largest plaque regression (-20.4%), and the group with ΔHDL-C <8.8% and Δmonocyte count >-8.6% showed the increase of the plaque volume (2.6%). In view of the inflammatory nature of atherosclerosis, the model constructed using the two predictors may be a useful model for the prediction of plaque regression.

Indexed as

Angioplasty, Balloon, CoronaryLeukocyte CountMonocytesAgedBiomarkersCholesterol, HDLCoronary Artery DiseaseFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsJapanMaleMiddle AgedMultivariate AnalysisPravastatinPredictive Value of TestsBiomarkersCholesterol, HDLHydroxymethylglutaryl-CoA Reductase InhibitorsPravastatin

Identifiers

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.