Evidence map›Paper›PMID 31429114›Full record

ArticleAmerican journal of hematology2019

Thirty-year risk of ischemic stroke in individuals with sickle cell trait and modification by chronic kidney disease: The atherosclerosis risk in communities (ARIC) study.

Melissa C Caughey, Vimal K Derebail, Nigel S Key, Alexander P Reiner, Rebecca F Gottesman, Abhijit V Kshirsagar, Gerardo Heiss

Open access · greenAbstract read
In one paragraph

Article in American journal of hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Melissa C CaugheyDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-8433-5147
Vimal K DerebailDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Nigel S KeyDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Alexander P ReinerDepartment of Epidemiology, University of Washington, Seattle, Washington.
Rebecca F GottesmanDepartment of Neurology, Johns Hopkins University, Baltimore, Maryland.
Abhijit V KshirsagarDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Gerardo HeissDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · USJohns Hopkins University · USUniversity of Washington · US

Funding

Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Duke-UNC Clinical Hematology Research Career Development ProgramK12HL087097 · NHLBI · DUKE UNIVERSITY · PI TELEN, MARILYN J · 2006 to 2016
$4.0M
Thrombosis genetics in African AmericansR01HL132947 · NHLBI · UNIVERSITY OF WASHINGTON · PI LANGE, LESLIE A, REINER, ALEXANDER P · 2017 to 2020
$3.1M
Sequence analysis of hemotological traits in African AmericansR01HL130733 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LANGE, ETHAN MATHER, REINER, ALEXANDER P · 2016 to 2019
$2.7M
Genetic Studies of Blood Cell Traits in Multi-Ethnic CohortsR01HL129132 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN, REINER, ALEXANDER P · 2016 to 2019
$2.7M
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K12 HL087097NHLBI NIH HHS R01 HL129132NHLBI NIH HHS R01 HL130733NHLBI NIH HHS R01 HL132947NHLBI NIH HHS RC2 HL102419
6 · The paper itself

Abstract

Sickle cell trait (SCT) has been associated with hypercoagulability, chronic kidney disease (CKD), and ischemic stroke. Whether concomitant CKD modifies long-term ischemic stroke risk in individuals with SCT is uncertain. We analyzed data from 3602 genotyped black adults (female = 62%, mean baseline age = 54 years) who were followed for a median 26 years by the Atherosclerosis Risk in Communities Study. Ischemic stroke was verified by physician review. Associations between SCT and ischemic stroke were analyzed using repeat-events Cox regression, adjusted for potential confounders. SCT was identified in 236 (7%) participants, who more often had CKD at baseline than noncarriers (18% vs 13%, P = .02). Among those with CKD, elevated factor VII activity was more prevalent with SCT genotype (36% vs 22%; P = .05). From 1987-2017, 555 ischemic strokes occurred in 436 individuals. The overall hazard ratio of ischemic stroke associated with SCT was 1.31 (95% CI: 0.95-1.80) and was stronger in participants with concomitant CKD (HR = 2.18; 95% CI: 1.16-4.12) than those without CKD (HR = 1.09; 95% CI: 0.74-1.61); P for interaction = .04. The hazard ratio of composite ischemic stroke and/or death associated with SCT was 1.20 (95% CI: 1.01-1.42) overall, 1.44 (95% CI: 1.002-2.07) among those with CKD, and 1.15 (95% CI: 0.94-1.39) among those without CKD; P for interaction = .18. The long-term risk of ischemic stroke associated with SCT relative to noncarrier genotype appears to be modified by concomitant CKD.

Indexed as

AdultAtherosclerosisBiomarkersBlack or African AmericanBlood ProteinsBrain IschemiaComorbidityDiabetes MellitusFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGlomerular Filtration RateHemoglobin CHemoglobin, SickleHospitalizationHumansBiomarkersBlood ProteinsHemoglobin CHemoglobin, Sickle

Identifiers

PMID31429114
PMCPMC6858511
OpenAlexW2969540119

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.