Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 190

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Evaluation of Fatigue Scales in Stroke Patients

Open access
Mead, Gillian, Lynch, Joanna, Greig, Carolyn, Young, Archie, Lewis, Susan, Sharpe, Michael·2007·Stroke

Abstract

Background and Purpose— There is little information on how to best measure poststroke fatigue. Our aim was to identify which currently available fatigue scale is most valid, feasible, and reliable in stroke patients. Methods— Fatigue scales were identified by systematic search, and the 5 with the best face validity were identified by expert consensus. Feasibility (ie, did patients provide answers?) and internal consistency (an aspect of reliability) of these scales were evaluated by interviewing 55 stroke patients. Test-retest reliability was assessed by reinterviewing 51 patients, interrater reliability was assessed by rerating audio recordings, and convergent validity was assessed by measuring the correlation between scale scores. Results— Of the 52 scales identified, the SF-36v2 (vitality component), the fatigue subscale of the Profile of Mood States, the Fatigue Assessment Scale, the general subscale of the Multidimensional Fatigue Symptom Inventory, and the Brief Fatigue Inventory had the best face validity. The Brief Fatigue Inventory was unfeasible to administer and was omitted. Of the remaining 4 scales, the Fatigue Assessment Scale had the poorest internal consistency. Test-retest reliability for individual scale questions ranged from fair to good; the Fatigue Assessment Scale had the narrowest limits of agreement for the total score, indicating the best test-retest reliability. Interrater reliability for individual questions ranged from good to very good, and there was no significant mean difference in total scores for any scale. Convergent validity was moderate to high for the total scores of the 4 scales. Conclusions— All four scales were valid and feasible to administer to stroke patients. The Fatigue Assessment Scale had the best test-retest reliability but the poorest internal consistency.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/strokeaha.106.478941

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 190

Metadata

Authors
Mead, G., Lynch, J., Greig, C., Young, A., Lewis, S., & Sharpe, M.
Venue
Stroke
Published
2007-07
Volume
38
Issue
7
Pages
2090-2095
ISSN
  • 0039-2499 (ISSN-L)
  • 1524-4628
OpenAlex
W2128366371
Cited by
190
References
4
FWCI
5.56
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Evaluation of Fatigue Scales in Stroke Patients. https://app.cochat.ai/papers/10.1161/strokeaha.106.478941
The paper
Mead, G., Lynch, J., Greig, C., Young, A., Lewis, S., & Sharpe, M. (2007). Evaluation of Fatigue Scales in Stroke Patients. Stroke. https://doi.org/10.1161/strokeaha.106.478941

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.