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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Digital health tools

Topic: Brain proteins, microglia and lab models

Objectives Few studies have attempted to identify what premortem features best differentiate multiple system atrophy (MSA) from Parkinson's disease (PD). These studies are limited by small sample size, clinical heterogeneity, or lack of postmortem validation. We evaluated the sensitivity and specificity of different clinical features in distinguishing pathologically established MSA from PD. Methods One hundred consecutive cases of pathologically confirmed PD and 38 cases of pathologically confirmed MSA in one Parkinson's disease brain bank were included. All cases had their clinical notes reviewed by one observer (AH). Clinical features were divided into two groups: those occurring up to 5 years after onset of disease and those occurring up to death. Statistical analysis comprised multivariate logistic regression analysis to choose and weight key variables for the optimum predictive model. Results The selected early features and their weightings were: autonomic features (2), poor initial levodopa response (2), early motor fluctuations (2), and initial rigidity (2). A cut off of 4 or more on the ROC curve resulted in a sensitivity of 87.1% and specificity of 70.5%. A better predictive model occurred if the following features up to death were included: poor response to levodopa (2), autonomic features (2), speech or bulbar dysfunction (3), absence of dementia (2), absence of levodopa induced confusion (4), and falls (4). The resulting ROC curve based on individual scores showed a best cut off score of at least 11 of 17 (sensitivity 90.3%, specificity 92.6%). Conclusions Predictive models may help differentiate MSA and PD premortem. Hitherto poorly recognised features, suggestive of MSA, included preserved cognitive function and absence of psychiatric effects from antiparkinsonian medication. Diagnostic accuracy was higher in those models taking into account all clinical features occurring up to death. Further studies need to be based on new incident cohorts of parkinsonian patients with subsequent neuropathological evaluation.

Key findings

Why it matters

This study identified clinical features that best distinguish multiple system atrophy from Parkinson's disease using pathologically confirmed cases. It is about differential diagnosis between these two conditions, not about treating, curing or preventing Alzheimer's disease.

Study details

How this study scored 48/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 2 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 3 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 2 of 4; Senior author's track record 4 of 4; Institution's track record 1 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 48 of 100.48 of 100 points earned52 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Journal of neurology, neurosurgery, and psychiatry)
Journal's citation record 3 / 4 Journal of Neurology Neurosurgery & Psychiatry: journal h-index 336 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2000 — older than 20 years, still counted
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 5 / 7 Cited 260 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 9.3 citations a year over 28 year(s) since 2000
Impact for its field and year 3 / 6 Cited 7.6× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 3 other studies in this library
Still being cited 2 / 4 Cited 18 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Gregor Karl Wenning: h-index 109 (OpenAlex, whole career)
Institution's track record 1 / 3 University of Bristol: institution h-index 1,260 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 4 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 10727478)
Free to read 0 / 2 Behind a paywall — scores zero
Total 48 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Wenning, G. K., Ben-Shlomo, Y., Hughes, A., Daniel, S. E., Lees, A., & Quinn, N. P. (2000). What clinical features are most useful to distinguish definite multiple system atrophy from Parkinson's disease? Journal of neurology, neurosurgery, and psychiatry. https://doi.org/10.1136/jnnp.68.4.434

Vancouver

Wenning GK, Ben-Shlomo Y, Hughes A, Daniel SE, Lees A, Quinn NP. What clinical features are most useful to distinguish definite multiple system atrophy from Parkinson's disease? Journal of neurology, neurosurgery, and psychiatry. 2000. doi:10.1136/jnnp.68.4.434. PMID: 10727478.

BibTeX

@article{wenning2000-10727478,
  author  = {Wenning, G. K. and Ben-Shlomo, Y. and Hughes, A. and Daniel, S. E. and Lees, A. and Quinn, N. P.},
  title   = {{What clinical features are most useful to distinguish definite multiple system atrophy from Parkinson's disease?}},
  journal = {Journal of neurology, neurosurgery, and psychiatry},
  year    = {2000},
  doi     = {10.1136/jnnp.68.4.434},
  pmid    = {10727478},
  url     = {https://doi.org/10.1136/jnnp.68.4.434}
}

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