Evidence map›Paper›PMID 21685411›Full record

ArticleAmerican journal of epidemiology2011

Inflammation biomarkers and risk of all-cause mortality in the Reasons for Geographic And Racial Differences in Stroke cohort.

Edmond K Kabagambe, Suzanne E Judd, Virginia J Howard, Neil A Zakai, Nancy S Jenny, Matthew Hsieh, David G Warnock, Mary Cushman

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  12. The transition to family caregiving and its effect on biomarkers of inflammation.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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 2 institutions in 1 country.

Edmond K KabagambeDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, 35294, USA. edmondk@uab.edu
Suzanne E Judd
Virginia J Howard
Neil A Zakai
Nancy S Jenny
Matthew Hsieh
David G Warnock
Mary Cushman
University of Alabama at Birmingham · USAlabama Department of Public Health · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

Inflammation biomarkers, including higher high-sensitivity C-reactive protein (hsCRP) levels, higher white blood cell (WBC) counts, and lower serum albumin levels, are associated with an increased risk of all-cause mortality. Many studies have examined these biomarkers individually, but less is known about their joint association with mortality. hsCRP, WBC count, and serum albumin were measured at baseline in the Reasons for Geographic and Racial Differences in Stroke Study cohort members, who were enrolled in 2003-2007. Over 4.5 years, there were 1,062 deaths in 17,845 participants. High-risk categories were defined as hsCRP or WBC levels above the 75th percentile (5.1 mg/L and 6.9 × 10(9) cells/L, respectively) and albumin levels below the 25th percentile (4.00 g/dL). The authors derived 4 groups that corresponded to 0 (n = 8,341), 1 (n = 6,277), 2 (n = 2,635), or 3 (n = 592) biomarkers in the high-risk category. After adjustment for age, sex, waist circumference, race, region, smoking, alcohol use, income, educational level, physical activity frequency, and medical history and compared with those with no biomarkers in the high-risk category, the hazard ratios for all-cause mortality for 1, 2, and 3 biomarkers in the high-risk category were 1.56 (95% confidence interval: 1.33, 1.82), 2.19 (95% confidence interval: 1.84, 2.62), and 2.96 (95% confidence interval: 2.30, 3.80), respectively (P(trend) < 0.0001). Adding the 3 inflammation biomarkers to a fully adjusted model improved risk discrimination by 23.7% (95% confidence interval: 9.3, 39.9). Measurement of more than 1 biomarker is more useful in risk prediction than single biomarkers.

Indexed as

Leukocyte CountMortalityBiomarkersCohort StudiesConfidence IntervalsC-Reactive ProteinFemaleHumansInflammationKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRacial GroupsRisk FactorsSerum AlbuminBiomarkersC-Reactive ProteinSerum Albumin

Identifiers

PMID21685411
PMCPMC3202158
OpenAlexW2135375548

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.