Evidence map›Paper›PMID 36353543›Full record

SynthesisFrontiers in oncology2022

The diagnostic significance of blood-derived circRNAs in NSCLC: Systematic review and meta-analysis.

Weijie Yu, Ruixue Liu, Zhoulin Miao, Liwei Zhang, Ilyar Sheyhidin, Julaiti Ainiwaer

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Weijie YuDepartment of Cardio-Thoracic Surgery, The Fourth Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.
Ruixue LiuDepartment of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.
Zhoulin MiaoRadiology Department, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Liwei ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.
Ilyar SheyhidinDepartment of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.
Julaiti AiniwaerDepartment of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Using blood-derived circular RNAs (circRNAs) may be an efficient tool for noninvasive fluid biopsy in diagnosing non-small cell lung cancer (NSCLC). However, no relevant systemic meta-analysis has been conducted so far to support the diagnostic value of using blood-derived circRNAs in NSCLC clinically. The aim of this study is to clarify the issue through a meta-analysis. Methods: A systematic search strategy was used to search relevant literature in the databases of PubMed, Web of Science, and Cochrane Library from 2017 to 2022. The relationship between the diagnostic accuracy of circRNAs and NSCLC was analyzed. For the purpose of evaluating the quality of the literature, Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was used. Statistical analyses were assessed using Stata software (version 17.0) and META-DISC (version 1.4). Results: The meta-analysis included 1,093 patients with NSCLC and 959 controls. Results are as follows: pooled sensitivity, 0.78 (95% CI = 0.71-0.83, I Conclusion: circRNAs are highly useful diagnostic biomarkers for NSCLC in China. Further prospective studies on the diagnostic value of circRNAs should be conducted in multiple countries. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42022323804.

Indexed as

blood-derivedcircRNAsdiagnosisNSCLConcology

Identifiers

PMID36353543
PMCPMC9638072

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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.