Evidence map›Paper›PMID 35853922›Full record

ArticleScientific reports2022

Methods for stroke severity assessment by chart review in the Atherosclerosis Risk in Communities study.

Silvia Koton, Shalom Patole, Julia M Carlson, Taylor Haight, Michelle Johansen, Andrea L C Schneider, James Russell Pike, Rebecca F Gottesman, Josef Coresh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 8 institutions in 2 countries.

Silvia KotonSackler Faculty of Medicine, The Herczeg Institute on Aging and The Stanley Steyer School of Health Professions, Tel Aviv University, 6997801, Tel Aviv, Israel. koton@tauex.tau.ac.il.
Shalom PatoleDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA.
Julia M CarlsonDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Taylor HaightDepartment of Neurology, Virginia Commonwealth University, Richmond, VA, USA.
Michelle JohansenDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrea L C SchneiderDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
James Russell PikeDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Rebecca F GottesmanStroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, NIH, Bethesda, MD, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USJohns Hopkins Medicine · USMassachusetts General Hospital · USNational Institute of Neurological Disorders and Stroke · USTel Aviv University · ILUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · USVirginia Commonwealth University · 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
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 ARIC and Neurocognitive Longitudinal StudyR01HL070825 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI MOSLEY, THOMAS H · 2002 to 2004
$5.1M
Defining the role of Atrial Cardiopathy and Subclinical Cardiac Disease in Acute Ischemic Stroke: Critical Life Event SupplementK23NS112459 · NINDS · JOHNS HOPKINS UNIVERSITY · PI JOHANSEN, MICHELLE C. · 2020 to 2024
$1.0M
Neuroepidemiology of the vascular contribution to cognitive impairment and Alzheimer's diseaseK24AG052573 · NIA · JOHNS HOPKINS UNIVERSITY · PI GOTTESMAN, REBECCA F · 2016 to 2020
$803k
NHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005INHLBI NIH HHS R01 HL070825NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIH HHS K23 NS112459NIH HHS K24 AG052573
6 · The paper itself

Abstract

Stroke severity is the most important predictor of post-stroke outcome. Most longitudinal cohort studies do not include direct and validated measures of stroke severity, yet these indicators may provide valuable information about post-stroke outcomes, as well as risk factor associations. In the Atherosclerosis Risk in Communities (ARIC) study, stroke severity data were retrospectively collected, and this paper outlines the procedures used and shares them as a model for assessment of stroke severity in other large epidemiologic studies. Trained physician abstractors, who were blinded to other clinical events, reviewed hospital charts of all definite/probable stroke events occurring in ARIC. In this analysis we included 1,198 ischemic stroke events occurring from ARIC baseline (1987-1989) through December 31, 2009. Stroke severity was categorized according to the National Institutes of Health Stroke Scale (NIHSS) score and classified into 5 levels: NIHSS ≤ 5 (minor), NIHSS 6-10 (mild), NIHSS 11-15 (moderate), NIHSS 16-20 (severe), and NIHSS > 20 (very severe). We assessed interrater reliability in a subgroup of 180 stroke events, reviewed independently by the lead abstraction physician and one of the four secondary physician abstractors. Interrater correlation coefficients for continuous NIHSS score as well as percentage of absolute agreement and Cohen Kappa Statistic for NIHSS categories were presented. Determination of stroke severity by the NIHSS, based on data abstracted from hospital charts, was possible for 97% of all ischemic stroke events. Median (25%-75%) NIHSS score was 5 (2-8). The distribution of NIHSS category was NIHSS ≤ 5 = 58.3%, NIHSS 6-10 = 24.5%, NIHSS 11-15 = 8.9%, NIHSS 16-20 = 4.7%, NIHSS > 20 = 3.6%. Overall agreement in the classification of severity by NIHSS category was present in 145/180 events (80.56%). Cohen's simple Kappa statistic (95% CI) was 0.64 (0.55-0.74) and weighted Kappa was 0.79 (0.72-0.86). Mean (SD) NIHSS score was 5.84 (5.88), with a median score of 4 and range 0-31 for the lead reviewer (rater 1) and mean (SD) 6.16 (6.10), median 4.5 and range 0-36 in the second independent assessment (rater 2). There was a very high correlation between the scores reported in both assessments (Pearson r = 0.90). Based on our findings, we conclude that hospital chart-based retrospective assessment of stroke severity using the NIHSS is feasible and reliable.

Indexed as

AtherosclerosisIschemic StrokeStrokeHumansLongitudinal StudiesReproducibility of ResultsRetrospective StudiesSeverity of Illness Index

Identifiers

PMID35853922
PMCPMC9296538
OpenAlexW4286220151

What OpenQuestion holds

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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.