Evidence map›Paper›PMID 31392640›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2019

The diagnostic value of SNpc using NM-MRI in Parkinson's disease: meta-analysis.

Xiangming Wang, Yuehui Zhang, Chen Zhu, Guangzong Li, Jie Kang, Fang Chen, Ling Yang

Erratum issuedAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Utility of Locus Coeruleus Signal Intensity on High-resolution T1-weighted MR Imaging with Magnetization Transfer for Differentiating Parkinson's Disease from Atypical Parkinsonism.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Correlation Between Neuromelanin-Sensitive MRI andJournal of clinical neurology (Seoul, Korea) · 2023
    Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Xiangming WangDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China.
Yuehui ZhangDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China.
Chen ZhuDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China.
Guangzong LiDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China.
Jie KangDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China.
Fang ChenDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China.
Ling YangDepartment of Neurology, Panzhihua Central Hospital, No. 34 Yikang Street, Panzhihua City, 617067, Sichuan Province, People's Republic of China. e089761@163.com.ORCID http://orcid.org/0000-0002-9222-9237
Panzhihua Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main purpose of this study was to systematically evaluate the accuracy of neuromelanin-sensitive magnetic resonance imaging (NM-MRI) in Parkinson's disease (PD) diagnosis using a meta-analysis method. In PubMed, Web of Science, Embase, and Google Scholar, the literatures were searched for the diagnostic value of neuromelanin-sensitive magnetic resonance imaging in PD. The literatures were screened in the light of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Data analysis was processed by Stata 12.0 software to obtain meta-analysis, heterogeneity analysis, and publication bias. Meta-analysis results showed by using NM-MRI observed substantia nigra pars compacta (SNpc) on PD, the pooled diagnostic sensitivity and specificity were 0.82 (95% CI, 0.74-0.87) and 0.82 (95% CI, 0.73-0.89), respectively. And the pooled positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 4.58 (95% CI, 3.08-6.82) and 0.22 (95% CI, 0.16-0.31), respectively. Moreover, subgroup analysis according to the measurement criteria of SNpc showed the SNpc volume should be used as good a marker for diagnosing PD. Finally, Fagan test demonstrated that when PLR was equal to 5, the posterior probability is significantly enhanced to 53%, compared with prior probability (20%). As for NLR (0.22), the prior probability is 20%, while the posterior probability remarkably dropped to 5%. In conclusion, SNpc signal detected by NM-MRI exhibited high sensitivity and specificity for diagnosis of PD, which was a high-performance imaging diagnostic method for PD. We recommend NM-MRI imaging technology to be widely used in Parkinson's diagnosis.

Indexed as

MelaninsHumansMagnetic Resonance ImagingNeuroimagingParkinson DiseaseSubstantia NigraMelaninsneuromelaninDiagnostic methodMeta-analysisNeuromelanin-sensitive magnetic resonance imaging (NM-MRI)Parkinson’s disease

Identifiers

PMID31392640
OpenAlexW2965883306

What OpenQuestion 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 OpenQuestion graph.