Evidence map›Paper›PMID 33839891›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2021

Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism.

Katharina A Schindlbeck, Deepak K Gupta, Chris C Tang, Sarah A O'Shea, Kathleen L Poston, Yoon Young Choi, Vijay Dhawan, Jean-Paul Vonsattel, Stanley Fahn, David Eidelberg

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. The role of neuro-imaging in multiple system atrophy.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  10. Review
  11. Stereotyped Relationship Between Motor and Cognitive Metabolic Networks in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022
    Article
  12. Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    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

10 authors.

Katharina A Schindlbeck *Center for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY, 11030, USA.
Deepak K Gupta *Division of Movement Disorders, Columbia University Medical Center, New York, NY, USA.
Chris C TangCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY, 11030, USA.
Sarah A O'SheaDivision of Movement Disorders, Columbia University Medical Center, New York, NY, USA.
Kathleen L PostonDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Yoon Young ChoiCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY, 11030, USA.
Vijay DhawanCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY, 11030, USA.
Jean-Paul VonsattelDivision of Neuropathology, Columbia University Medical Center, New York, NY, USA.
Stanley FahnDivision of Movement Disorders, Columbia University Medical Center, New York, NY, USA.
David EidelbergCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY, 11030, USA. deidelbe@northwell.edu.ORCID 0000-0002-0854-864X

Funding

Statistics and Data Management CoreP50NS071675 · NINDS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI EIDELBERG, DAVID · 2010 to 2014
$9.3M
NINDS NIH HHS P50 NS071675
6 · The paper itself

Abstract

purposeUp to 25% of patients diagnosed as idiopathic Parkinson's disease (IPD) have an atypical parkinsonian syndrome (APS). We had previously validated an automated image-based algorithm to discriminate between IPD, multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). While the algorithm was accurate with respect to the final clinical diagnosis after long-term expert follow-up, its relationship to the initial referral diagnosis and to the neuropathological gold standard is not known.

methodsPatients with an uncertain diagnosis of parkinsonism were referred for

resultsAt the time of referral to PET, the clinical impression was only 66.7% accurate. The algorithm correctly identified 80% of the cases as IPD or APS (p = 0.02) and 87.5% of the APS cases as MSA or PSP (p = 0.03). The final clinical diagnosis was 93.3% accurate (p < 0.001), but needed several years of expert follow-up.

conclusionThe image-based classifications agreed well with autopsy and can help to improve diagnostic accuracy during the period of clinical uncertainty.

Indexed as

Multiple System AtrophyParkinsonian DisordersBrainClinical Decision-MakingDiagnosis, DifferentialFluorodeoxyglucose F18HumansUncertaintyFluorodeoxyglucose F18Differential diagnosisFDG PETNetwork analysisNeuropathologyParkinsonism

Identifiers

PMID33839891
PMCPMC8440366

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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.