The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Swallowing Disorders following Acute Stroke: Prevalence and Diagnostic Accuracy
Abstract
We prospectively examined 128 patients with acute first-ever stroke to determine the prevalence of swallowing disorders, the diagnostic accuracy of our clinical assessment of swallowing function compared with videofluoroscopy, and interobserver agreement for the clinical and videofluoroscopic diagnosis of swallowing disorders and aspiration. We found clinical and videofluoroscopic evidence of a swallowing disorder in 51% [95% confidence interval (CI) 42–60%] and 64% (95% CI 55–72%) of patients, respectively, and aspiration in 49% (95% CI 40–58%) and 22% (95% CI 15–29%) of patients, respectively. The optimal clinical criteria for detecting videofluoroscopic evidence of a swallowing disorder and aspiration were any clinical evidence of a swallowing disorder (sensitivity 73%, 95% CI 62–82%; specificity 89%, 95% CI 76–96%), and any clinical evidence of aspiration (sensitivity 93%, 95% CI 76–99%; specificity 63%, 95% CI 53–72%). The interobserver agreement between two speech pathologists for the clinical diagnosis of a swallowing disorder (κ: 0.82 ± 0.09) and aspiration (κ: 0.75 ± 0.09) was good, and between a speech pathologist and radiologist for the videofluoroscopic diagnosis of a swallowing disorder (κ: 0.75 ± 0.09) and aspiration (κ: 0.41 ± 0.09), it was good and fair, respectively. Although clinical bedside examination underestimates the frequency of swallowing abnormalities and overestimates the frequency of aspiration compared with videofluoroscopy, it may still offer valuable information for the diagnosis of swallowing impairment. Long-term follow-up studies are required to determine the independent functional significance of the findings of the bedside and videofluoroscopic examinations in predicting the occurrence of important outcome events such as aspiration pneumonia.
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.
Integrity signals
Registry
Cites
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.
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
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Complications and Outcome After Acute Stroke: Does Dysphagia Matter?
Smithard, D. G., O'Neill, P. A., Park, C., Morris, J., Wyatt, R., England, R., & Martin, D. F. (1996) · Stroke · doi:10.1161/01.str.27.7.1200 · Cited by 734
Cited by
Validity and Reliability of the Eating Assessment Tool (EAT-10)
Belafsky, P. C., Mouadeb, D. A., Rees, C. J., Pryor, J. C., Postma, G. N., Allen, J., & Leonard, R. J. (2008) · Annals of Otology, Rhinology & Laryngology · doi:10.1177/000348940811701210 · Cited by 1,751
Baijens, L. W., Clavé, P., Cras, P., Ekberg, O., Forster, A., Kolb, G., Leners, J. C., Masiero, S., Mateos del Nozal, J., Ortega, O., et al. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s107750 · Cited by 773
Dysphagia in acute stroke: incidence, burden and impact on clinical outcome
Arnold, M., Liesirova, K., Broeg-Morvay, A., Meisterernst, J., Schlager, M., Mono, M.-L., El-Koussy, M., Kägi, G., Jung, S., & Sarikaya, H. (2016) · PLOS ONE · doi:10.1371/journal.pone.0148424 · Cited by 398
Behavioural intervention for dysphagia in acute stroke: a randomised controlled trial
Carnaby, G., Hankey, G. J., & Pizzi, J. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70252-0 · Cited by 326
Self-citationCarnaby-Mann, G., Crary, M. A., Schmalfuss, I., & Amdur, R. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2011.06.1954 · Cited by 324
Metadata
- Authors
- Mann, G., Hankey, G. J., & Cameron, D.
- Venue
- Cerebrovascular Diseases
- Publisher
- S. Karger AG
- Published
- 2000
- Volume
- 10
- Issue
- 5
- Pages
- 380-386
- ISSN
- 1015-9770 (ISSN-L)
- 1421-9786
- OpenAlex
- W2029523860
- Cited by
- 384
- References
- 3
- FWCI
- 15.25
- Type
- journal article
- Language
- en
- Open access
- closed
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: Swallowing Disorders following Acute Stroke: Prevalence and Diagnostic Accuracy. https://app.cochat.ai/papers/10.1159/000016094
- The paper
- Mann, G., Hankey, G. J., & Cameron, D. (2000). Swallowing Disorders following Acute Stroke: Prevalence and Diagnostic Accuracy. Cerebrovascular Diseases. https://doi.org/10.1159/000016094
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.