Article in Neurology, 2024. 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
2.3field-weighted citation impact, top 12% 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
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
9 authors at 1 institution in 2 countries.
Kelly L SloaneFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0001-9680-9565
Rebecca F GottesmanFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0002-9504-1256
Michelle C JohansenFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0003-0393-3589
Sara Jones BerkeleyFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0009-0001-1041-5715
Josef CoreshFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0002-4598-0669
Anna Kucharska-NewtonFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0001-9864-467X
Wayne D RosamondFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.
Andrea L C SchneiderFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0003-0026-5052
Silvia KotonFrom the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel.ORCID 0000-0002-9327-7505
University of Kentucky · US
Funding
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
Stroke, Cognition and Neuroepidemiology SectionZIANS009435 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI GOTTESMAN, REBECCA F · 2022 to 2025
$8.2M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Establishing Mechanisms Between Traumatic Brain Injury and Dementia Using Epidemiology, Clinical Studies, Blood-Based Biomarkers, and Neuroimaging BiomarkersK23NS123340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider · 2022 to 2026
objectivesRisk of readmission after stroke differs by stroke (sub)type and etiology, with higher risks reported for hemorrhagic stroke and cardioembolic stroke. We examined the risk and cause of first readmission by stroke subtype over the years post incident stroke.
methodsAtherosclerosis Risk in Communities (ARIC) study participants (n = 1,412) with first-ever stroke were followed up for all-cause readmission after incident stroke. Risk of first readmission was examined by stroke subtypes (cardioembolic, thrombotic/lacunar, and hemorrhagic [intracerebral and subarachnoid]) using Cox and Fine-Gray proportional hazards models, adjusting for sociodemographic and cardiometabolic risk factors.
resultsAmong 1,412 participants (mean [SD] age 72.4 [9.3] years, 52.1% women, 35.3% Black), 1,143 hospitalizations occurred over 41,849 person-months. Overall, 81% of participants were hospitalized over a maximum of 26.6 years of follow-up (83% of participants with thrombotic/lacunar stroke, 77% of participants with cardioembolic stroke, and 78% of participants with hemorrhagic stroke). Primary cardiovascular and cerebrovascular diagnoses were reported for half of readmissions. Over the entire follow-up period, compared with cardioembolic stroke, readmission risk was lower for thrombotic/lacunar stroke (hazard ratio [HR] 0.82, 95% CI 0.71-0.95) and hemorrhagic stroke (HR 0.74, 95% CI 0.58-0.93) in adjusted Cox proportional hazards models. By contrast, there was no statistically significant difference among subtypes when adjusting for atrial fibrillation and competing risk of death. Compared with cardioembolic stroke, thrombotic/lacunar stroke was associated with lower readmission risk within 1 month (HR 0.66, 95% CI 0.46-0.93) and during 1 month-1 year (HR 0.78, 95% CI 0.62-0.97), and hemorrhagic stroke was associated with lower risk during 1 month-1 year (HR 0.60, 95% CI 0.41-0.87). There was no significant difference between subtypes in readmission risk during later periods. DISCUSSION: Over 26 years of follow-up, 81% of stroke participants experienced a readmission. Cardiovascular and cerebrovascular diagnoses at readmission were most common across stroke subtypes. Though cardioembolic stroke has previously been reported to confer higher risk of readmission, in this study, the readmission risk was not statistically significantly different between stroke subtypes or over different periods when accounting for the competing risk of death.
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.
Stroke Subtype and Risk of Subsequent Hospitalization: The Atherosclerosis Risk in Communities Study · full record | OpenQuestion