Evidence map›Paper›PMID 31106993›Full record

SynthesisMolecular genetics & genomic medicine2019

Diagnostic performance of circular RNAs in human cancers: A systematic review and meta-analysis.

Juan Li, Hang Li, Xiaoting Lv, Zitai Yang, Min Gao, Yanhong Bi, Ziwei Zhang, Shengli Wang, Zhigang Cui, Baosen Zhou and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Recent advances of circular RNAs in gastrointestinal cancer.World journal of clinical oncology · 2025
    Review
  7. Review
  8. Circular RNA in cancer development and immune regulation.Journal of cellular and molecular medicine · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Circular RNAs in Human Cancer.Frontiers in oncology · 2020
    Review
  16. Review
  17. Identification of hsa_circ_0005654 as a new early biomarker of gastric cancer.Cancer biomarkers : section A of Disease markers · 2019
    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

11 authors.

Juan LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Hang LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Xiaoting LvDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Zitai YangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Min GaoDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Yanhong BiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Ziwei ZhangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Shengli WangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Zhigang CuiSchool of Nursing, China Medical University, Shenyang, China.
Baosen ZhouDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.
Zhihua YinDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, PR China.ORCID 0000-0003-0850-680X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, accumulating evidence have revealed that circular RNA (circRNA) was deregulated in multiple types of cancer, suggesting that circRNA might serve as a novel candidate biomarker of cancer diagnosis. However, inconsistent results have become an obstacle in applying circRNAs to clinical practice. The aim of this study is to evaluate diagnostic value of circRNAs among cancers.

methodsA literature search was systematically performed among PubMed, Sciencedirect, Cochrane Library, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to February 15, 2019. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratios, negative likelihood ratios, diagnostic odds ratio, and area under the SROC curve (AUC) were applied to evaluate diagnostic performance of circRNAs.

resultsIn total, the study included 64 studies with single circRNA and 13 studies with combined circRNAs. Overall, the study presented that a single circRNA had moderate diagnostic value, with a SEN of 0.75, a SPE of 0.76, and an AUC of 0.82. The plasma circRNAs had higher diagnostic accuracy than tissue (AUC: 0.87, 95% confidence interval [CI]: 0.83-0.89 for plasma/serum subgroup; AUC: 0.79, 95% CI: 0.75-0.82 for tissue subgroup). Furthermore, the combined circRNAs had good diagnostic efficacy for GC, with a SEN of 0.89, a SPE of 0.94, and an AUC of 0.97, respectively.

conclusionThis study confirmed that circRNAs may be candidate biomarkers for cancer diagnosis. In particular, diagnosis of combined circRNAs will be a new alternative applied to clinical research and practice for cancer.

Indexed as

Area Under CurveBiomarkers, TumorHumansLikelihood FunctionsNeoplasmsOdds RatioRNA, CircularSensitivity and SpecificityBiomarkers, TumorRNA, CircularbiomarkercancerCircRNAdiagnosis

Identifiers

PMID31106993
PMCPMC6625099

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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.