Evidence map›Paper›PMID 35312879›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Real-time quaking-induced conversion assay is accurate for Lewy body diseases: a meta-analysis.

Yashan Wang, Jiayi Hu, Xiaofei Chen, Song Wang, Chenyang Zhang, Junjun Hu, Dingjie Guo, Xin Liu

Abstract readMeta-AnalysisReview
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In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Lewy Body Dementia.Continuum (Minneapolis, Minn.) · 2024
    Review
  7. Review
  8. Review
  9. Article
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  11. 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.

Yashan WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Jiayi HuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Xiaofei ChenDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Song WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Chenyang ZhangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Junjun HuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Dingjie GuoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China.
Xin LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, China. liuxinjlu01@163.com.ORCID http://orcid.org/0000-0002-3486-5753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveReal-time quaking-induced conversion (RT-QuIC) is a novel in vitro acellular seed amplification analysis and has been widely used to detect prion diseases. Due to the similar mechanism of abnormal aggregation of α-synuclein, RT-QuIC has great potential for diagnosing Lewy body diseases. This meta-analysis was performed to evaluate the diagnostic accuracy of RT-QuIC for Lewy body diseases.

methodsThis study followed the PRISMA statement. We searched six databases for relevant studies published until February 20, 2022. Meta-analysis was conducted using RevMan 5.3, Stata 17.0, and Meta-Disc 1.4. Subgroup analyses were performed to explore sources of heterogeneity.

resultsA total of 16 studies were included in this study. The pooled sensitivity and specificity were 0.91 (95%CI: 0.85-0.94) and 0.95 (95%CI: 0.90-0.97), respectively. The pooled positive and negative likelihood ratios were 17.16 (95% CI: 9.16-32.14) and 0.10 (95% CI: 0.06-0.17), respectively. The pooled diagnostic odds rate and area under the summary receiver operating characteristic curve were 171.16 (95% CI: 66.64-439.62) and 0.97 (95% CI: 0.96-0.99), respectively.

conclusionsThis study was the first meta-analysis on RT-QuIC for Lewy body diseases. RT-QuIC is a reliable and accurate method to diagnose Lewy body diseases.

Indexed as

Lewy BodiesLewy Body DiseaseBiological AssayHumansSensitivity and SpecificityDiagnosisLewy body diseasesMeta-analysisRT-QuICα-Synuclein

Identifiers

PMID35312879

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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.