Evidence map›Paper›PMID 33032781›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

Trade-Offs in Quality-of-Life Assessment Between the Modified Rankin Scale and Neuro-QoL Measures.

Robert L Askew, Carmen E Capo-Lugo, Rajbeer Sangha, Andrew Naidech, Shyam Prabhakaran

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Clinical Outcome Assessments in Encephalitis: A Systematic ReviewNeurology(R) neuroimmunology & neuroinflammation · 2024
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

5 authors.

Robert L AskewDepartment of Psychology, Stetson University, DeLand, FL, USA. Electronic address: raskew@stetson.edu.
Carmen E Capo-LugoDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.
Rajbeer SanghaDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Andrew NaidechFeinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Shyam PrabhakaranDepartment of Neurology, The University of Chicago, Chicago, IL, USA.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Multidisciplinary Clinical and Translational Science (MCTS) Program (UL1)UL1TR000150 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$10.1M
NRSA INSTITUTIONAL TRAINING GRANTT32HS000078 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOLL, JANE LOUISE · 1998 to 2018
$5.6M
Health related quality of life and seizure medications after hemorrhagic strokeK18HS023437 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NAIDECH, ANDREW M · 2015 to 2016
$357k
Addressing the Needs of Individuals Early After Stroke: An Adaptation of the 14-Weeks to a Healthier You ProgramF32HS024366 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CAPO-LUGO, CARMEN ENID · 2015 to 2017
$71k
ACL HHS 90AR5019AHRQ HHS F32 HS024366AHRQ HHS K18 HS023437AHRQ HHS T32 HS000078NCATS NIH HHS UL1 TR000150NCATS NIH HHS UL1 TR001422
6 · The paper itself

Abstract

introductionWe aimed to describe the physical and cognitive health of patients with differing levels of post-stroke disability, as defined by modified Rankin Scale (mRS) scores. We also compared cross-sectional correlations between the mRS and the Quality of Life in Neurological Disorders (Neuro-QoL) T-scores to longitudinal correlations of change estimates from each measure.

methodsMean Neuro-QoL T-scores representing mobility, dexterity, executive function, and cognitive concerns were compared among mRS subgroups. Fixed-effects regression models with robust standard errors estimated correlations among mRS and Neuro-QoL domain scores and correlations among longitudinal change estimates. These change estimates were then compared to distribution-based estimates of minimal clinically important differences.

resultsSeven hundred forty-five patients with ischemic stroke (79%) or transient ischemic attack (21%) were enrolled in this longitudinal observational study of post-stroke outcomes. Larger differences in cognitive function were observed in the severe mRS groups (ie, 4-5) while larger differences in physical function were observed in the mild-moderate mRS groups (ie, 0-2). Cross-sectional correlations among mRS and Neuro-QoL T-scores were high (r = 0.61-0.83), but correlations among longitudinal change estimates were weak (r = 0.14-0.44).

conclusionsFindings from this study undermine the validity and utility of the mRS as an outcome measure in longitudinal studies in ischemic stroke patients. Nevertheless, strong correlations indicate that the mRS score, obtained with a single interview, is efficient at capturing important differences in patient-reported quality of life, and is useful for identifying meaningful cross-sectional differences among clinical subgroups.

Indexed as

Neuropsychological TestsQuality of LifeAgedCognition DisordersCross-Sectional StudiesFemaleHumansIschemic Attack, TransientIschemic StrokeLongitudinal StudiesMaleNervous System DiseasesStrokeTreatment Outcomeischemic strokemodified Rankin ScaleNeuro-QoLoutcomes assessmentquality of lifetransient ischemic attack

Identifiers

PMID33032781
PMCPMC7547147

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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.