Evidence map›Paper›PMID 35049226›Full record

SynthesisMedicine2021

Diagnostic value of microRNA-148/152 family in non-small-cell lung cancer (NSCLC): A systematic review and meta-analysis.

Long Cheng, Qinyun Li, Bangxian Tan, Daiyuan Ma, Guobo Du

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Biomarkers Suitable for Early Detection of Intrathoracic Cancers in Primary Care: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
  2. Article
  3. Review
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

5 authors.

Long ChengDepartment of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.ORCID 0000-0002-7454-3337
Qinyun LiDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Bangxian TanDepartment of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Daiyuan MaDepartment of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Guobo DuDepartment of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsNon-small-cell lung cancer (NSCLC) is the most common type of lung cancer with extremely high morbidity and mortality.

objectiveTo evaluate the diagnostic value of the blood miR-148/152 family to NSCLC by meta-analysis.

methodsPubMed, Embase (via Ovid), The Cochrane Library, web of science, and Chinese National Knowledge Infrastructure were retrieved using miR-148, miR-152, and NSCLC as search terms for studies about miR-148/152 family in the diagnosis of NSCLC, the quality assessment of diagnostic accuracy studies was adopted to evaluate the quality of literature, STATA 12.0 and Meta-Disc 1.4 were used to conduct meta-analysis and to probe the clinical utility (with plotting the Fagan Nomogram).

resultsA total 2145 cases in 8 trials published in 4 studies finally enrolled for final analysis. The area under the curve of the summary receiver operating characteristic was 0.87 [0.83-0.89], the pooled sensitivity was 0.79 [0.74, 0.83], the pooled specificity was 0.81 [0.76, 0.85] and the diagnosis odds ratio was 15.53 [10.88-22.17], the integrated positive likelihood ratio was 4.1 [3.30, 5.20] and the integrated negative likelihood ratio was 0.27 [0.22, 0.33].

conclusionCurrent evidence indicated that miR-148/152 family might be served as novel non-invasive diagnostic biomarkers for NSCLC diagnosis with good sensitivity and specificity. it still needs more research with high quality, large sample sizes, and multiple centers for further verification.

Indexed as

Carcinoma, Non-Small-Cell LungHumansLung NeoplasmsMicroRNAsROC CurveSensitivity and SpecificityMicroRNAsMIRN148 microRNA, humanMIRN152 microRNA, human

Identifiers

PMID35049226
PMCPMC9191337

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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.