Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Improving diagnostic accuracy of multiple system atrophy: a clinicopathological study

Open access
Miki, Yasuo, Foti, Sandrine C, Asi, Yasmine T, Tsushima, Eiki, Quinn, Niall, Ling, Helen, Holton, Janice L·2019·Brain

Abstract

Clinical diagnosis of multiple system atrophy is challenging and many patients with Lewy body disease (i.e. Parkinson’s disease or dementia with Lewy bodies) or progressive supranuclear palsy are misdiagnosed as having multiple system atrophy in life. The clinical records of 203 patients with a clinical diagnosis of multiple system atrophy were reviewed to identify diagnostic pitfalls. We also examined 12 features supporting a diagnosis of multiple system atrophy (red flag features: orofacial dystonia, disproportionate antecollis, camptocormia and/or Pisa syndrome, contractures of hands or feet, inspiratory sighs, severe dysphonia, severe dysarthria, snoring, cold hands and feet, pathological laughter and crying, jerky myoclonic postural/action tremor and polyminimyoclonus) and seven disability milestones (frequent falls, use of urinary catheters, wheelchair dependent, unintelligible speech, cognitive impairment, severe dysphagia, residential care). Of 203 cases, 160 (78.8%) were correctly diagnosed in life and had pathologically confirmed multiple system atrophy. The remaining 21.2% (43/203) had alternative pathological diagnoses including Lewy body disease (12.8%; n = 26), progressive supranuclear palsy (6.4%; n = 13), cerebrovascular diseases (1%; n = 2), amyotrophic lateral sclerosis (0.5%; n = 1) and cerebellar degeneration (0.5%; n = 1). More patients with multiple system atrophy developed ataxia, stridor, dysphagia and falls than patients with Lewy body disease; resting tremor, pill-rolling tremor and hallucinations were more frequent in Lewy body disease. Although patients with multiple system atrophy and progressive supranuclear palsy shared several symptoms and signs, ataxia and stridor were more common in multiple system atrophy. Multiple logistic regression analysis revealed increased likelihood of multiple system atrophy versus Lewy body disease and progressive supranuclear palsy if a patient developed orthostatic hypotension or urinary incontinence with the requirement for urinary catheters [multiple system atrophy versus Lewy body disease: odds ratio (OR): 2.0, 95% confidence interval (CI): 1.1–3.7, P = 0.021; multiple system atrophy versus progressive supranuclear palsy: OR: 11.2, 95% CI: 3.2–39.2, P < 0.01]. Furthermore, autonomic dysfunction within the first 3 years from onset can differentiate multiple system atrophy from progressive supranuclear palsy (multiple system atrophy versus progressive supranuclear palsy: OR: 3.4, 95% CI: 1.2–9.7, P = 0.023). Multiple system atrophy patients with predominant parkinsonian signs had a higher number of red flag features than patients with Lewy body disease (OR: 8.8, 95% CI: 3.2–24.2, P < 0.01) and progressive supranuclear palsy (OR: 4.8, 95% CI: 1.7–13.6, P < 0.01). The number of red flag features in multiple system atrophy with predominant cerebellar signs was also higher than in Lewy body disease (OR: 7.0, 95% CI: 2.5–19.5, P < 0.01) and progressive supranuclear palsy (OR: 3.1, 95% CI: 1.1–8.9, P = 0.032). Patients with multiple system atrophy had shorter latency to reach use of urinary catheter and longer latency to residential care than progressive supranuclear palsy patients, whereas patients with Lewy body disease took longer to reach multiple milestones than patients with multiple system atrophy. The present study has highlighted features which should improve the ante-mortem diagnostic accuracy of multiple system atrophy.

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 · 10.1093/brain/awz189

Cites

9 of 9 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 9 references

Cited by

See all 182

Metadata

Authors
Miki, Y., Foti, S. C., Asi, Y. T., Tsushima, E., Quinn, N., Ling, H., & Holton, J. L.
Venue
Brain
Published
2019-07-09
Volume
142
Issue
9
Pages
2813-2827
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2958591328
Cited by
182
References
9
FWCI
13.43
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: Improving diagnostic accuracy of multiple system atrophy: a clinicopathological study. https://app.cochat.ai/papers/10.1093/brain/awz189
The paper
Miki, Y., Foti, S. C., Asi, Y. T., Tsushima, E., Quinn, N., Ling, H., & Holton, J. L. (2019). Improving diagnostic accuracy of multiple system atrophy: a clinicopathological study. Brain. https://doi.org/10.1093/brain/awz189

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.