Evidence map›Paper›PMID 27774334›Full record

ReviewParkinson's disease2016

Brain MR Contribution to the Differential Diagnosis of Parkinsonian Syndromes: An Update.

Giovanni Rizzo, Stefano Zanigni, Roberto De Blasi, Daniela Grasso, Davide Martino, Rodolfo Savica, Giancarlo Logroscino

Open access · goldAbstract readReview
In one paragraph

Review in Parkinson's disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. PET, SPECT, and MRI imaging for evaluation of Parkinson's disease.American journal of nuclear medicine and molecular imaging · 2024
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Magnetic resonance imaging for the diagnosis of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2017
    Review
  8. Article
  9. Review
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

7 authors at 5 institutions in 3 countries.

Giovanni RizzoIRCCS Istituto delle Scienze Neurologiche, Bellaria Hospital, Bologna, Italy; Neurology Unit, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0002-9718-2044
Stefano ZanigniFunctional MR Unit, Policlinico S.Orsola-Malpighi, Bologna, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0003-4071-0886
Roberto De BlasiDepartment of Diagnostic Imaging, Pia Fondazione di Culto e Religione "Card. G. Panico", Tricase, Italy.
Daniela GrassoDepartment of Diagnostic Imaging, Pia Fondazione di Culto e Religione "Card. G. Panico", Tricase, Italy.
Davide MartinoDepartment of Neurology, King's College NHS Foundation Trust, London, UK; Department of Neurology, Queen Elizabeth Hospital, Lewisham and Greenwich NHS Trust, London, UK.ORCID 0000-0001-5169-3669
Rodolfo SavicaDepartment of Neurology and Health Science Research, Mayo Clinic, Rochester, MN, USA.
Giancarlo LogroscinoDepartment of Clinical Research in Neurology, University of Bari, Pia Fondazione di Culto e Religione "Card. G. Panico", Tricase, Italy; Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari, Bari, Italy.ORCID 0000-0003-0423-3242
IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITIstituto delle Scienze Neurologiche di Bologna · ITMayo Clinic in Florida · USQueen Elizabeth Hospital · GBUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain magnetic resonance (MR) represents a useful and feasible tool for the differential diagnosis of Parkinson's disease. Conventional MR may reveal secondary forms of parkinsonism and may show peculiar brain alterations of atypical parkinsonian syndromes. Furthermore, advanced MR techniques, such as morphometric-volumetric analyses, diffusion-weighted imaging, diffusion tensor imaging, tractography, proton MR spectroscopy, and iron-content sensitive imaging, have been used to obtain quantitative parameters useful to increase the diagnostic accuracy. Currently, many MR studies have provided both qualitative and quantitative findings, reflecting the underlying neuropathological pattern of the different degenerative parkinsonian syndromes. Although the variability in the methods and results across the studies limits the conclusion about which technique is the best, specific radiologic phenotypes may be identified. Qualitative/quantitative MR changes in the substantia nigra do not discriminate between different parkinsonisms. In the absence of extranigral abnormalities, the diagnosis of PD is more probable, whereas basal ganglia changes (mainly in the putamen) suggest the diagnosis of an atypical parkinsonian syndrome. In this context, changes in pons, middle cerebellar peduncles, and cerebellum suggest the diagnosis of MSA, in midbrain and superior cerebellar peduncles the diagnosis of PSP, and in whole cerebral hemispheres (mainly in frontoparietal cortex with asymmetric distribution) the diagnosis of Corticobasal Syndrome.

Identifiers

PMID27774334
PMCPMC5059618
OpenAlexW2526550676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.