Evidence map›Paper›PMID 39840378›Full record

ReviewAmerican journal of nuclear medicine and molecular imaging2024

PET, SPECT, and MRI imaging for evaluation of Parkinson's disease.

Jaskeerat Gujral, Om H Gandhi, Shashi B Singh, Malia Ahmed, Cyrus Ayubcha, Thomas J Werner, Mona-Elisabeth Revheim, Abass Alavi

Abstract readReview
In one paragraph

Review in American journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Jaskeerat GujralDepartment of Radiology, University of Pennsylvania Philadelphia, PA 19104, USA.
Om H GandhiDepartment of Radiology, University of Pennsylvania Philadelphia, PA 19104, USA.
Shashi B SinghStanford University School of Medicine Stanford, CA 94305, USA.
Malia AhmedDepartment of Radiology, University of Pennsylvania Philadelphia, PA 19104, USA.
Cyrus AyubchaHarvard Medical School Boston, MA 02115, USA.
Thomas J WernerDepartment of Radiology, University of Pennsylvania Philadelphia, PA 19104, USA.
Mona-Elisabeth RevheimThe Intervention Center, Rikshopitalet, Division of Technology and Innovation, Oslo University Hospital Oslo 0372, Norway.
Abass AlaviDepartment of Radiology, University of Pennsylvania Philadelphia, PA 19104, USA.

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

This review assesses the primary neuroimaging techniques used to evaluate Parkinson's disease (PD) - a neurological condition characterized by gradual dopamine-producing nerve cell degeneration. The neuroimaging techniques explored include positron emission tomography (PET), single-photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI). These modalities offer varying degrees of insights into PD pathophysiology, diagnostic accuracy, specificity by way of exclusion of other Parkinsonian syndromes, and monitoring of disease progression. Neuroimaging is thus crucial for diagnosing and managing PD, with integrated multimodal approaches and novel techniques further enhancing early detection and treatment evaluation.

Indexed as

diagnosisevaluationmagnetic resonance imaging (MRI)Parkinson’s disease (PD)positron emission tomography (PET)single-photon emission computed tomography (SPECT)

Identifiers

PMID39840378
PMCPMC11744359

What Socratic holds

Textmetadata
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 Socratic graph.