Evidence map›Paper›PMID 30128031›Full record

ArticleOncology letters2018

Circular RNA as a biomarker for cancer: A systematic meta-analysis.

Yulong Li, Xiaoli Zeng, Jianxun He, Yuan Gui, Song Zhao, Hua Chen, Qi Sun, Nan Jia, Hui Yuan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 5 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

22 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
  7. Roles and Applications of Circular RNA in Virus Infection.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Article
  10. A genome-wide circular RNA transcriptome in rat.Biology methods & protocols · 2021
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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

9 authors.

Yulong LiDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Xiaoli ZengDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Jianxun HeDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Yuan GuiDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Song ZhaoDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Hua ChenDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Qi SunDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Nan JiaDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.
Hui YuanDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) may serve as biomarkers for a potentially non-invasive diagnosis of cancer. To understand their diagnostic performance, a systematic meta-analysis of the published literature was conducted to review the diagnostic efficiency of circRNAs in patients with cancer. Eligible studies published up to November 30, 2017, on PubMed and EMBASE, were selected for the meta-analysis. All studies were carefully and independently reviewed by two researchers based on their titles and abstracts, following which full texts were perused for potential eligibility. All statistical analyses were performed by STATA 13.0 statistical software and Meta-DiSc 1.4. A total of 10 eligible studies were included. The pooled diagnostic odds ratio was 7.265. The pooled sensitivity was 0.708 and the pooled specificity was 0.722. The positive likelihood and negative likelihood ratios were 2.483 and 0.372, respectively. The area under the curve was 0.793. circRNA was determined to be a notably effective assistant diagnostic biomarker for cancer.

Indexed as

cancercircular RNAdiagnostic valuemeta-analysis

Identifiers

PMID30128031
PMCPMC6096272

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.