Evidence map›Paper›PMID 27812167›Full record

ArticlePloS one2016

Usefulness of Cardiac MIBG Scintigraphy, Olfactory Testing and Substantia Nigra Hyperechogenicity as Additional Diagnostic Markers for Distinguishing between Parkinson's Disease and Atypical Parkinsonian Syndromes.

Hiroaki Fujita, Keisuke Suzuki, Ayaka Numao, Yuji Watanabe, Tomoyuki Uchiyama, Tomoyuki Miyamoto, Masayuki Miyamoto, Koichi Hirata

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Differentiating progressive supranuclear palsy from other movement disorders using transcranial sonography: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
  2. Article
  3. Impact of autonomic symptoms on the clinical course of Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
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  6. Review
  7. Article
  8. Multiple system atrophy.Nature reviews. Disease primers · 2022
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Diagnosis of multiple system atrophy.Autonomic neuroscience : basic & clinical · 2018
    Review
  17. Article
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  19. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Hiroaki FujitaDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.
Keisuke SuzukiDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.ORCID http://orcid.org/0000-0003-0320-8993
Ayaka NumaoDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.
Yuji WatanabeDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.
Tomoyuki UchiyamaDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.
Tomoyuki MiyamotoDepartment of Neurology, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan.
Masayuki MiyamotoDepartment of Clinical Medicine for Nursing, Dokkyo Medical University School of Nursing, Tochigi, Japan.
Koichi HirataDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to evaluate the utility of the combined use of cardiac 123I-metaiodobenzylguanidine (MIBG) scintigraphy, olfactory testing, and substantia nigra (SN) hyperechogenicity on transcranial sonography (TCS) in differentiating Parkinson's disease (PD) from atypical parkinsonian syndromes (APSs), such as multiple system atrophy (MSA) and progressive supranuclear palsy (PSP).

methodsCardiac MIBG scintigraphy, card-type odor identification testing (Open Essence (OE), Wako, Japan), and TCS were performed with 101 patients with PD and 38 patients with APSs (MSA and PSP). Receiver operating characteristic (ROC) curve analysis was used to assess the sensitivity and specificity of these batteries for diagnosing PD from APSs. The diagnostic accuracy of the three tests was also assessed among patients at the early disease stage (drug-naïve patients with a disease duration of 3 years or less).

resultsIn differentiating PD from APSs, the area under the ROC curve was 0.74 (95% CI, 0.65-0.83), 0.8 (95% CI, 0.73-0.87), and 0.75 (95% CI, 0.67-0.82) for TCS, cardiac MIBG scintigraphy, and olfactory testing, respectively. The diagnostic sensitivity and specificity were 53.1% and 91.7%, respectively, for TCS, 70.3% and 86.8%, respectively, for cardiac MIBG scintigraphy, 58.4% and 76.3%, respectively, for OE. Among early-stage patients, sensitivity and specificity were 50.0% and 93.8%, respectively, for TCS, 57.1% and 87.5%, respectively, for cardiac MIBG scintigraphy, and 54.8% and 79.2%, respectively, for OE. At least one positive result from 3 tests improved sensitivity (86.1%) but decreased specificity (63.2%). In contrast, at least 2 positive results from 3 tests had good discrimination for both early-stage patients (50.0% sensitivity and 93.8% specificity) and patients overall (57.8% sensitivity and 95.8% specificity). Positive results for all 3 tests yielded 100% specificity but low sensitivity (25%).

conclusionsAt least 2 positive results from among TCS, cardiac MIBG scintigraphy, and olfactory testing can support clinical diagnosis in distinguishing PD from APSs.

Indexed as

3-IodobenzylguanidineOlfactory PerceptionAgedDiagnosis, DifferentialFemaleHeartHumansMaleParkinson DiseaseParkinsonian DisordersRadionuclide ImagingSubstantia NigraUltrasonography, Doppler, Transcranial3-Iodobenzylguanidine

Identifiers

PMID27812167
PMCPMC5094741

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Registered trials

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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.