Evidence mapPaperPMID 40687935Full record

ArticleAmerican journal of preventive cardiology2025

Association between baseline white blood cell count and future cardiovascular events in patients with stable coronary artery disease- Sub-analysis of the REAL-CAD trial.

Kozo Okada, Kiyoshi Hibi, Toshihiro Misumi, Noriaki Iwahashi, Masaomi Gohbara, Kohei Uemura, Hiroshi Iwata, Yoshihiro Fukumoto, Takafumi Hiro, Yukio Ozaki and 14 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

24 authors.

Kozo OkadaDivision of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Kiyoshi HibiDivision of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Toshihiro MisumiDepartment of Data Science, National Cancer Center Hospital East, Kashiwa, Japan.
Noriaki IwahashiDivision of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Masaomi GohbaraDivision of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Kohei UemuraDepartment of Biostatistics and Bioinformatics, Interfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan.
Hiroshi IwataDepartment of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yoshihiro FukumotoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Takafumi HiroDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
Yukio OzakiDepartment of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.
Satoshi IimuroInnovation and Research Support Center, International University of Health and Welfare, Tokyo, Japan.
Ichiro SakumaCaress Sapporo Hokko Memorial Clinic, Sapporo, Japan.
Seiji HokimotoKumamoto Municipal Ueki Hospital, Kumamoto, Japan.
Katsumi MiyauchiDepartment of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yutaka MatsuyamaDepartment of Biostatistics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yoshihisa NakagawaDepartment of Cardiovascular Medicine, Shiga University of Medical Science Hospital, Otsu, Japan.
Hisao OgawaKumamoto University, Kumamoto, Japan.
Hiroyuki DaidaDepartment of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hiroaki ShimokawaInternational University of Health and Welfare, Narita, Japan.
Yasushi SaitoChiba University, Chiba, Japan.
Takeshi KimuraDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Masunori MatsuzakiSt Hill Hospital, Ube, Japan.
Kazuo KimuraDivision of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Ryozo NagaiJichi Medical University, Shimotsuke, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elevated white blood cell (WBC) counts have been associated with major adverse cardiovascular events (MACE). However, their incremental prognostic values, especially considering factors such as race, sex difference, clinical characteristics, and statin dosage, are not well defined. This study aimed to explore the relationship between baseline WBC counts and subsequent MACE in Japanese patients with stable coronary artery disease (CAD) receiving high and low doses of pitavastatin, as a sub-analysis of the REAL-CAD study. Methods and Results: A total of 10,123 patients with baseline WBC count data were included in this analysis. Patients were categorized into quartiles based on their baseline WBC counts, and the cumulative 4-year incidence of MACE, defined as cardiovascular death, nonfatal myocardial infarction, nonfatal ischemic stroke, or unstable angina requiring hospitalization, was compared among the quartiles. MACE occurred in 491 patients, and Kaplan-Meier curve analysis showed a significantly higher incidence of MACE in the fourth quartile compared with the first quartile (hazard ratio [HR]: 1.910, 95 % confidence interval [CI]: 1.477-2.471). Multivariate analysis indicated that the highest quartile of WBC count was an independent determinant of future MACE (HR: 1.879, 95 %CI: 1.439-2.454), adjusting for age, sex, diabetes, current smoking, statin dosage, and baseline high-sensitive C-reactive protein. Conclusions: Elevated WBC counts increased the risk of cardiovascular events in Japanese patients with stable CAD, highlighting the importance of inflammation as a residual risk after statin treatments in the Japanese population. Further research is needed to evaluate the clinical benefits of screening and treatment strategies based on WBC counts.

Indexed as

Cardiovascular diseaseInflammationStatinWhite blood cell

Identifiers

PMID40687935
PMCPMC12274947

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.