Evidence map›Paper›PMID 33371070›Full record

SynthesisMedicine2020

Diagnostic value of microRNA-25 in patients with non-small cell lung cancer in Chinese population: A systematic review and meta-analysis.

Chang Li, Lin Sun, Hongbin Zhou, Ying Yang, Yong Wang, Min She, Jianguo Chen

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 40% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

7 authors at 1 institution in 5 countries.

Chang LiGeriatric Pulmonary Department, Chongzhou People's Hospital, 318 Yongkang east road, Chengdu City, Sichuan Province, China.
Lin Sun
Hongbin Zhou
Ying Yang
Yong Wang
Min She
Apple (Israel) · IL

Funding

Youth Innovation Medical Research Project of Chongzhou People's Hospital 2019001
6 · The paper itself

Abstract

objectivePrevious studies have shown that microRNA-25 (miR-25) plays a key role in the occurrence and development of non-small cell lung cancer (NSCLC). Many studies have shown that there is a significant increment of miR-25 in circulating blood of patients with NSCLC. The meta-analysis aims to explore diagnostic value of miR-25 in NSCLC in Chinese population.

methodsPubMed, Web of science, Excerpta Medica Database, China national knowledge infrastructure and China Wanfang database were searched to collect studies upon correlation between miR-25 and diagnosis of the patients with NSCLC until April 2020. Combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under receiver operating characteristic curve were calculated by Stata 15.0 software. Literature assessment was conducted according to quality assessment of diagnostic accuracy studies, and documents with scores above or equal to 11 were included in this meta-analysis.

resultsSix studies were included, including 480 cases with NSCLC and 451 healthy controls. The combined sensitivity (0.75, 95% confidence interval [CI]: 0.69∼0.80), specificity (0.81, 95% CI: 0.76∼0.86), positive likelihood ratio (4.04, 95% CI: 3.14∼5.20), negative likelihood ratio (0.31, 95% CI: 0.25∼0.37), diagnostic odds ratio (13.09, 95% CI: 9.37∼18.29) and area under curve (0.85, 95% CI: 0.82∼0.88) indicated that miR-25 had desirable diagnostic accuracy for NSCLC.

conclusionMiR-25 can be applied in diagnosis of NSCLC and has potential of becoming a biomarker for detection of patients with early NSCLC in Chinese population.

Indexed as

Asian PeopleBiomarkers, TumorCarcinoma, Non-Small-Cell LungChinaHumansLung NeoplasmsMicroRNAsSensitivity and SpecificityBiomarkers, TumorMicroRNAs

Identifiers

PMID33371070
PMCPMC7748336
OpenAlexW3113096155

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.