Evidence map›Paper›PMID 27856456›Full record

Observational studyArteriosclerosis, thrombosis, and vascular biology2016

Inflammatory Obesity Phenotypes, Gender Effects, and Subclinical Atherosclerosis in African Americans: The Jackson Heart Study.

Albert Lin, Mary E Lacy, Charles Eaton, Adolfo Correa, Wen-Chih Wu

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Arteriosclerosis, thrombosis, and vascular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Association between inflammatory obesity phenotypes, FTO-rs9939609, and cardiovascular risk factors in patients with type 2 diabetes.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2020
    Article
  7. Article
  8. 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

5 authors at 3 institutions in 1 country.

Albert LinFrom the Center of Innovation Long Term Services and Supports (LTSS), Veterans Affairs Hospital, Providence, RI (A.L., M.E.L., W.-C.W.); Department of Medicine, Alpert Medical School of Brown University, Providence, RI (A.L., W.-C.W.); Department of Epidemiology, School of Public Health, Brown University, Providence, RI (M.E.L., W.-C.W.); Center for Primary Care and Prevention, Department of Family Medicine, Memorial Hospital of Rhode Island, Pawtucket (C.E.); and Department of Medicine, University of Mississippi Medical Center, Jackson (A.C.).
Mary E LacyFrom the Center of Innovation Long Term Services and Supports (LTSS), Veterans Affairs Hospital, Providence, RI (A.L., M.E.L., W.-C.W.); Department of Medicine, Alpert Medical School of Brown University, Providence, RI (A.L., W.-C.W.); Department of Epidemiology, School of Public Health, Brown University, Providence, RI (M.E.L., W.-C.W.); Center for Primary Care and Prevention, Department of Family Medicine, Memorial Hospital of Rhode Island, Pawtucket (C.E.); and Department of Medicine, University of Mississippi Medical Center, Jackson (A.C.).
Charles EatonFrom the Center of Innovation Long Term Services and Supports (LTSS), Veterans Affairs Hospital, Providence, RI (A.L., M.E.L., W.-C.W.); Department of Medicine, Alpert Medical School of Brown University, Providence, RI (A.L., W.-C.W.); Department of Epidemiology, School of Public Health, Brown University, Providence, RI (M.E.L., W.-C.W.); Center for Primary Care and Prevention, Department of Family Medicine, Memorial Hospital of Rhode Island, Pawtucket (C.E.); and Department of Medicine, University of Mississippi Medical Center, Jackson (A.C.).
Adolfo CorreaFrom the Center of Innovation Long Term Services and Supports (LTSS), Veterans Affairs Hospital, Providence, RI (A.L., M.E.L., W.-C.W.); Department of Medicine, Alpert Medical School of Brown University, Providence, RI (A.L., W.-C.W.); Department of Epidemiology, School of Public Health, Brown University, Providence, RI (M.E.L., W.-C.W.); Center for Primary Care and Prevention, Department of Family Medicine, Memorial Hospital of Rhode Island, Pawtucket (C.E.); and Department of Medicine, University of Mississippi Medical Center, Jackson (A.C.).
Wen-Chih WuFrom the Center of Innovation Long Term Services and Supports (LTSS), Veterans Affairs Hospital, Providence, RI (A.L., M.E.L., W.-C.W.); Department of Medicine, Alpert Medical School of Brown University, Providence, RI (A.L., W.-C.W.); Department of Epidemiology, School of Public Health, Brown University, Providence, RI (M.E.L., W.-C.W.); Center for Primary Care and Prevention, Department of Family Medicine, Memorial Hospital of Rhode Island, Pawtucket (C.E.); and Department of Medicine, University of Mississippi Medical Center, Jackson (A.C.). Wen-Chih.Wu@va.gov.
Brown University · USJackson Memorial Hospital · USMemorial Hospital of Rhode Island · US

Funding

NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050C
6 · The paper itself

Abstract

objectiveReasons for variations in atherosclerotic burden among individuals with similar levels of obesity are poorly understood, especially in African Americans. This study examines whether high-sensitivity C-reactive protein (hsCRP) is useful for discriminating between benign and high-risk obesity phenotypes for subclinical atherosclerosis in African Americans. APPROACH AND

resultsParticipants from the Jackson Heart Study (n=4682) were stratified into 4 phenotypes based on the presence of National Heart and Lung and Blood Institute definition of obesity or obesity-equivalent (body mass index ≥30 or body mass index 25-30 with waist circumference >102 cm in men and >88 cm in women) and inflammation by hsCRP ≥2 mg/L. Using multivariate regression models, we conducted cross-sectional analyses of the association between inflammatory obesity phenotypes and subclinical atherosclerosis determined by carotid intima-media thickness or coronary artery calcium scores. Sex-specific analyses were conducted given significant interaction for gender (P=0.03). The prevalence of obesity or equivalent was 65%, of which 30% did not have inflammation. Conversely, 37% of nonobese individuals had inflammation. Among nonobese men, hsCRP ≥2 mg/L identified a subset of individuals with higher carotid intima-media thickness (adjusted mean difference =0.05, 95% confidence interval 0.02, 0.08 mm) compared with their noninflammatory counterparts. Among obese men, hsCRP <2 mg/L identified a subset of individuals with lower coronary artery calcium compared with their inflammatory counterparts. Among women, associations between hsCRP and carotid intima-media thickness or coronary artery calcium were not found.

conclusionsIn the largest African American population-based cohort to date, hsCRP was useful in identifying a subset of nonobese men with higher carotid intima-media thickness, but not in women. hsCRP did not identify a subset of obese individuals with less subclinical atherosclerosis.

Indexed as

Black or African AmericanAdultAgedAsymptomatic DiseasesBiomarkersBody Mass IndexCarotid Artery DiseasesCarotid Intima-Media ThicknessChi-Square DistributionComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseC-Reactive ProteinCross-Sectional StudiesFemaleHealth StatusBiomarkersC-Reactive ProteinInflammation Mediatorscarotid intima–media thicknesscoronary artery calciumgenderhigh-sensitivity C-reactive proteininflammationobesitysubclinical atherosclerosis

Identifiers

PMID27856456
PMCPMC5121048
OpenAlexW2551332065

What OpenQuestion holds

Textmetadata
LicenceTDM
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.