Evidence map›Paper›PMID 29127368›Full record

SynthesisScientific reports2017

Diagnostic value of blood-derived microRNAs for schizophrenia: results of a meta-analysis and validation.

Sha Liu, Fuquan Zhang, Xijin Wang, Yin Yao Shugart, Yingying Zhao, Xinrong Li, Zhifen Liu, Ning Sun, Chunxia Yang, Kerang Zhang and 3 more

Abstract readMeta-AnalysisSystematic ReviewValidation Study
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. MicroRNAs as biomarkers and molecular mediators of cognitive dysfunction in schizophrenia.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  6. Article
  7. Article
  8. miRNA-Based Diagnosis of Schizophrenia Using Machine Learning.International journal of molecular sciences · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. The Role of microRNA in Schizophrenia: A Scoping Review.International journal of molecular sciences · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

13 authors.

Sha LiuDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Fuquan ZhangWuxi Mental Health Center, Wuxi, 214000, P. R. China.
Xijin WangThe First Psychiatric Hospital of Harbin, Harbin, 150056, P. R. China.
Yin Yao ShugartUnit on Statistical Genomics, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Yingying ZhaoDepression Treatment Center, Beijing Anding Hospital of Capital Medical University, Beijing, 100088, P. R. China.
Xinrong LiDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Zhifen LiuDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Ning SunDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Chunxia YangDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Kerang ZhangDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Weihua YueInstitute of Mental Health, Peking University Sixth Hospital, Peking University, Beijing, 100191, P. R. China. dryue@bjmu.edu.cn.
Xin YuInstitute of Mental Health, Peking University Sixth Hospital, Peking University, Beijing, 100191, P. R. China.
Yong XuDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, P. R. China. xuyongsmu@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing interest in searching biomarkers for schizophrenia (SZ) diagnosis, which overcomes the drawbacks inherent with the subjective diagnostic methods. MicroRNA (miRNA) fingerprints have been explored for disease diagnosis. We performed a meta-analysis to examine miRNA diagnostic value for SZ and further validated the meta-analysis results. Using following terms: schizophrenia/SZ, microRNA/miRNA, diagnosis, sensitivity and specificity, we searched databases restricted to English language and reviewed all articles published from January 1990 to October 2016. All extracted data were statistically analyzed and the results were further validated with peripheral blood mononuclear cells (PBMNCs) isolated from patients and healthy controls using RT-qPCR and receiver operating characteristic (ROC) analysis. A total of 6 studies involving 330 patients and 202 healthy controls were included for meta-analysis. The pooled sensitivity, specificity and diagnostic odds ratio were 0.81 (95% CI: 0.75-0.86), 0.81 (95% CI: 0.72-0.88) and 18 (95% CI: 9-34), respectively; the positive and negative likelihood ratio was 4.3 and 0.24 respectively; the area under the curve in summary ROC was 0.87 (95% CI: 0.84-0.90). Validation revealed that miR-181b-5p, miR-21-5p, miR-195-5p, miR-137, miR-346 and miR-34a-5p in PBMNCs had high diagnostic sensitivity and specificity in the context of schizophrenia. In conclusion, blood-derived miRNAs might be promising biomarkers for SZ diagnosis.

Indexed as

3' Untranslated RegionsGene Expression RegulationBiomarkersFemaleHumansMaleMicroRNAsSchizophrenia3' Untranslated RegionsBiomarkersMicroRNAs

Identifiers

PMID29127368
PMCPMC5681644

What OpenQuestion holds

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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.