Evidence map›Paper›PMID 33321002›Full record

Observational studyAnnals of clinical and translational neurology2021

Dopamine transporter imaging predicts clinically-defined α-synucleinopathy in REM sleep behavior disorder.

Lana M Chahine, Michael C Brumm, Chelsea Caspell-Garcia, Wolfgang Oertel, Brit Mollenhauer, Amy Amara, Ana Fernandez-Arcos, Eduardo Tolosa, Cristina Simonet, Birgit Hogl and 16 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of clinical and translational neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.1field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Review
  19. Article
  20. Disease modification in Parkinsonism: obstacles and ways forward.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    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

26 authors at 17 institutions in 4 countries.

Lana M ChahineDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-2521-7196
Michael C BrummDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Chelsea Caspell-GarciaDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Wolfgang OertelDepartment of Neurology, Philipps University, Marburg, Germany.
Brit MollenhauerDepartment of Neurology, University Medical Center Goettingen, Goettingen, Germany.
Amy AmaraDepartment of Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Ana Fernandez-ArcosNeurology Service, Hospital Clinic de Barcelona, Barcelona, Spain.
Eduardo TolosaNeurology Service, Hospital Clinic de Barcelona, Barcelona, Spain.
Cristina SimonetNeurology Service, Hospital Clinic de Barcelona, Barcelona, Spain.
Birgit HoglDepartment of Neurology, Innsbruck Medical University, Innsbruck, Austria.
Aleksandar VidenovicDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Samantha J HuttenThe Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA.
Caroline TannerDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Daniel WeintraubDepartments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Elliot BurghardtDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Christopher CoffeyDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Hyunkeun R ChoDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Karl KieburtzUniversity of Rochester Medical Center, University of Rochester, Rochester, NY, USA.
Kathleen L PostonDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA.
Kalpana MerchantDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Douglas GalaskoDepartment of Neurology, University of California, San Diego, California, USA.
Tatiana ForoudDepartment of Medical & Molecular Genetics, Indiana University, Indianapolis, Indiana, USA.
Andrew SiderowfDepartments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kenneth MarekInstitute for Neurodegenerative Disorders, New Haven, Connecticut, USA.
Tanya SimuniDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Alex IranzoNeurology Service, Hospital Clinic de Barcelona, Barcelona, Spain.
University of Iowa · USHospital Clínic de Barcelona · ESNorthwestern University · USUniversity of Pennsylvania · USIndiana University – Purdue University Indianapolis · USInnsbruck Medical University · ATInstitute for Neurodegenerative Disorders · USMassachusetts General Hospital · USMichael J. Fox Foundation · USNephrologisches Zentrum Goettingen · DEPhilipps University of Marburg · DEStanford University · USUniversity of Alabama at Birmingham · USUniversity of California San Diego · USUniversity of California, San Francisco · USUniversity of Pittsburgh · USUniversity of Rochester Medical Center · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

introductionIndividuals with idiopathic rapid eye movement sleep behavior disorder (iRBD) are at high risk for a clinical diagnosis of an α-synucleinopathy (aSN). They could serve as a key population for disease-modifying trials. Abnormal dopamine transporter (DAT) imaging is a strong candidate biomarker for risk of aSN diagnosis in iRBD. Our primary objective was to identify a quantitative measure of DAT imaging that predicts diagnosis of clinically-defined aSN in iRBD.

methodsThe sample included individuals with iRBD, early Parkinson's Disease (PD), and healthy controls (HC) enrolled in the Parkinson Progression Marker Initiative, a longitudinal, observational, international, multicenter study. The iRBD cohort was enriched with individuals with abnormal DAT binding at baseline. Motor and nonmotor measures were compared across groups. DAT specific binding ratios (SBR) were used to calculate the percent of expected DAT binding for age and sex using normative data from HCs. Receiver operative characteristic analyses identified a baseline DAT binding cutoff that distinguishes iRBD participants diagnosed with an aSN in follow-up versus those not diagnosed.

resultsThe sample included 38 with iRBD, 205 with PD, and 92 HC who underwent DAT-SPECT at baseline. Over 4.7 years of mean follow-up, 14 (36.84%) with iRBD were clinically diagnosed with aSN. Risk of aSN diagnosis was significantly elevated among those with baseline putamen SBR ≤ 48% of that expected for age and sex, relative to those above this cutoff (hazard ratio = 17.8 [95%CI: 3.79-83.3], P = 0.0003).

conclusionWe demonstrate the utility of DAT SBR to identify individuals with iRBD with increased short-term risk of an aSN diagnosis.

Indexed as

AgedDopamine Plasma Membrane Transport ProteinsFemaleHumansMaleMiddle AgedREM Sleep Behavior DisorderSynucleinopathiesTomography, Emission-Computed, Single-PhotonDopamine Plasma Membrane Transport Proteins

Identifiers

PMID33321002
PMCPMC7818144
OpenAlexW3118160052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.