Evidence map›Paper›PMID 25445888›Full record

ArticleJournal of atherosclerosis and thrombosis2015

Associations between Inflammatory Markers and Subclinical Atherosclerosis in Middle-aged White, Japanese-American and Japanese Men: The ERA-JUMP Study.

Shin-Ya Nagasawa, Takayoshi Ohkubo, Kamal Masaki, Emma Barinas-Mitchell, Katsuyuki Miura, ToddB Seto, Aiman El-Saed, Takashi Kadowaki, Bradley J Willcox, Daniel Edmundowicz and 12 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Role of NLRP3 Inflammasomes in Atherosclerosis.Journal of atherosclerosis and thrombosis · 2017
    Review
  14. Article
  15. Atherosclerotic Cardiovascular Risk in Japan.Japanese clinical medicine · 2017
    Review
  16. 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

22 authors at 9 institutions in 2 countries.

Shin-Ya NagasawaDepartment of Epidemiology and Public Health, Kanazawa Medical University.
Takayoshi Ohkubo
Kamal Masaki
Emma Barinas-Mitchell
Katsuyuki Miura
ToddB Seto
Aiman El-Saed
Takashi Kadowaki
Bradley J Willcox
Daniel Edmundowicz
Aya Kadota
Rhobert W Evans
Sayaka Kadowaki
Akira Fujiyoshi
Takashi Hisamatsu
Marianne H Bertolet
Tomonori Okamura
Yasuyuki Nakamura
Lewis H Kuller
Hirotsugu Ueshima
Akira Sekikawa
ERA-JUNP Study Group
Shiga University of Medical Science · JPUniversity of Pittsburgh · USKeio University · JPKuakini Medical Center · USKyoto Women's University · JPOsaka Kyoiku University · JPTemple University · USUniversity of Hawaiʻi at Mānoa · USUniversity of Hawaii System · US

Funding

Foreign CohortR01HL068200 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEKIKAWA, AKIRA · 2003 to 2012
$5.6M
Epidemiology of CHD of Men Aged 40+ in US, Hawaii, JapanR01HL071561 · NHLBI · PACIFIC HEALTH RESEARCH INSTITUTE · PI CURB, JESS DAVID · 2003 to 2006
$1.7M
NHLBI NIH HHS R01 HL068200NHLBI NIH HHS R01 HL071561NHLBI NIH HHS R01-HL071561NHLBI NIH HHS R01 HL68200
6 · The paper itself

Abstract

aimTo examine whether the inflammatory markers C-reactive protein (CRP) and fibrinogen are associated with biomarkers of atherosclerosis [carotid intima-media thickness (IMT) and coronary artery calcification (CAC)] in the general male population, including Asians.

methodsPopulation-based samples of 310 Japanese, 293 Japanese-American and 297 white men 40-49 years of age without clinical cardiovascular disease underwent measurement of IMT, CAC and the CRP and fibrinogen levels as well as other conventional risk factors using standardized methods. Statistical associations between the variables were evaluated using multiple linear or logistic regression models.

resultsThe Japanese group had significantly lower levels of inflammatory markers and subclinical atherosclerosis than the Japanese-American and white groups (P-values all <0.001). The mean level of CRP was 0.66 vs. 1.11 and 1.47 mg/L, while that of fibrinogen was 255.0 vs. 313.0 and 291.5 mg/dl, respectively. In addition, the mean carotid IMT was 0.61 vs. 0.73 and 0.68 mm, while the mean prevalence of CAC was 11.6% vs. 32.1% and 26.3%, respectively. Body mass index (BMI) showed significant positive associations with both the CRP and fibrinogen levels. Although CRP showed a significant positive association with IMT in the Japanese men, this association became non-significant following adjustment for traditional risk factors or BMI. In all three populations, CRP was not found to be significantly associated with the prevalence of CAC. Similarly, fibrinogen did not exhibit a significant association with either IMT or the prevalence of CAC.

conclusionsThe associations between inflammatory markers and subclinical atherosclerosis may merely reflect the strong associations between BMI and the levels of inflammatory markers and incidence of subclinical atherosclerosis in both Eastern and Western populations.

Indexed as

Carotid Intima-Media ThicknessAdultAsianAsian PeopleAtherosclerosisBiomarkersCalcinosisCoronary Artery DiseaseC-Reactive ProteinCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFibrinogenFollow-Up StudiesHumansInflammationInflammation MediatorsBiomarkersC-Reactive ProteinFibrinogenInflammation Mediators

Identifiers

PMID25445888
PMCPMC4449327
OpenAlexW1997689068

What OpenQuestion holds

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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.