Evidence map›Paper›PMID 28536175›Full record

ArticleStroke2017

Predicting Domain-Specific Health-Related Quality of Life Using Acute Infarct Volume.

Chen Lin, Jungwha Lee, Neil Chatterjee, Carlos Corado, Timothy Carroll, Andrew Naidech, Shyam Prabhakaran

Abstract read
In one paragraph

Article in Stroke, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Big Data in Stroke: How to Use Big Data to Make the Next Management Decision.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Leukoaraiosis Predicts Short-term Cognitive But not Motor Recovery in Ischemic Stroke Patients During Rehabilitation.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2019
    Observational
  11. Infarct location is associated with quality of life after mild ischemic stroke.International journal of stroke : official journal of the International Stroke Society · 2018
    Article
  12. 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

7 authors.

Chen LinFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.). chen.lin1@northwestern.edu.
Jungwha LeeFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.).
Neil ChatterjeeFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.).
Carlos CoradoFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.).
Timothy CarrollFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.).
Andrew NaidechFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.).
Shyam PrabhakaranFrom the Northwestern University, Chicago, IL (C.L., J.L., N.C., C.C., A.N., S.P.); and University of Chicago, IL (T.C.).

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Development of Novel MR Imaging for Ischemic Stroke EvaluationR01NS093908 · NINDS · UNIVERSITY OF CHICAGO · PI CARROLL, TIMOTHY J, CHRISTOFORIDIS, GREGORY · 2015 to 2019
$2.6M
Stroke Trials Network - Regional Coordinating Stroke CentersU10NS086608 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PRABHAKARAN, SHYAM · 2013 to 2017
$1.8M
Health related quality of life and seizure medications after hemorrhagic strokeK18HS023437 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NAIDECH, ANDREW M · 2015 to 2016
$357k
Non-invasive detection of heart transplant rejection with MRIF31HL117618 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHATTERJEE, NEIL RANJAN · 2013 to 2017
$241k
AHRQ HHS K18 HS023437NCATS NIH HHS UL1 TR001422NHLBI NIH HHS F31 HL117618NINDS NIH HHS R01 NS093908NINDS NIH HHS U10 NS086608
6 · The paper itself

Abstract

background and purposeLimited data exist on the relationship between acute infarct volume and health-related quality of life (HRQOL) measures after ischemic stroke. We evaluated whether acute infarct volume predicts domain-specific Neuro-Quality of Life scores at 3 months after stroke.

methodsBetween 2012 and 2014, we prospectively enrolled consecutive patients with ischemic stroke and calculated infarct volume. Outcome scores at 3 months included modified Rankin Scale and Neuro-Quality of Life

resultsAmong 490 patients (mean age 64.2±15.86 years; 51.2% male; 63.3% White) included for analysis, 58 (11.8%) were disabled (modified Rankin Scale score of >2) at 3 months. In unadjusted analysis, the highest volume quartile remained a significant predictor of 1 HRQOL domain, applied cognition-general concerns (

conclusionsAcute infarct volume is a poor predictor of HRQOL domains after ischemic stroke, with the exception of the cognitive domain. Overall, clinical and imaging variables explained <50% of the variance in HRQOL outcomes at 3 months. Our data imply that a broad range of factors, some known and others undiscovered, may better predict poststroke HRQOL than what is currently available.

Indexed as

Patient Outcome AssessmentQuality of LifeAgedBrain IschemiaCerebral InfarctionFemaleFollow-Up StudiesHumansMaleMiddle AgedSeverity of Illness IndexStrokecognitionlower extremitymagnetic resonance imagingpatient outcome assessmentquality of lifestroke

Identifiers

PMID28536175
PMCPMC5505231

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Registered trials

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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.