Evidence map›Paper›PMID 34834587›Full record

ArticleJournal of personalized medicine2021

Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson's Disease: A Diffusion Tensor Imaging Study.

Niels Bergsland, Laura Pelizzari, Maria Marcella Laganá, Sonia Di Tella, Federica Rossetto, Raffaello Nemni, Mario Clerici, Francesca Baglio

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Niels BergslandIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.ORCID 0000-0002-7792-0433
Laura PelizzariIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Maria Marcella LaganáIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.ORCID 0000-0001-7848-1711
Sonia Di TellaIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Federica RossettoIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Raffaello NemniIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Mario ClericiIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Francesca BaglioIRCCS, Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Don Carlo Gnocchi Foundation · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The substantia nigra (SN) pars compacta (SNpc) and pars reticulata (SNpr) are differentially affected in Parkinson's disease (PD). Separating the SNpc and SNpr is challenging with standard magnetic resonance imaging (MRI). Diffusion tensor imaging (DTI) allows for the characterization of SN microstructure in a non-invasive manner. In this study, 29 PD patients and 28 healthy controls (HCs) were imaged with 1.5T MRI for DTI. Images were nonlinearly registered to standard space and SNpc and SNpr DTI parameters were measured. ANCOVA and receiver operator characteristic (ROC) analyses were performed. Clinical associations were assessed with Spearman correlations. Multiple corrections were controlled for false discovery rate. PD patients presented with significantly increased SNpc axial diffusivity (AD) (1.207 ± 0.068 versus 1.156 ± 0.045,

Indexed as

diffusion tensor imagingMRIParkinson’s diseasesubstantia nigra

Identifiers

PMID34834587
PMCPMC8625460
OpenAlexW3215845427

What OpenQuestion holds

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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.