Evidence map›Paper›PMID 31846184›Full record

SynthesisThoracic cancer2020

Long noncoding RNA MALAT1 as a candidate serological biomarker for the diagnosis of non-small cell lung cancer: A meta-analysis.

Jie Pan, Yuan Bian, Zhuo Cao, Limei Lei, Jiongwei Pan, Jinwei Huang, Xiaoping Cai, Xiang Lan, Hao Zheng

Abstract readMeta-Analysis
In one paragraph

Synthesis in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  7. Involvement of lncRNA in cancer diagnosis and prognosis and clinical implications.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Review
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  17. Novel Insights IntoFrontiers in oncology · 2021
    Review
  18. Exosomal Long Non-Coding RNAs in Lung Diseases.International journal of molecular sciences · 2020
    Review
  19. Article
  20. 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

9 authors.

Jie PanDepartment of General Practice Medicine, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.ORCID 0000-0001-9240-2039
Yuan BianDepartment of Respiratory, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, China.
Zhuo CaoDepartment of Respiratory, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.
Limei LeiDepartment of General Practice Medicine, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.
Jiongwei PanDepartment of Respiratory, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.
Jinwei HuangDepartment of Respiratory, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.
Xiaoping CaiDepartment of Respiratory, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.
Xiang LanDepartment of Radiation, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.
Hao ZhengDepartment of Respiratory, Lishui People's Hospital, the Six Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the diagnostic efficacy of long noncoding RNA metastasis-associated in lung adenocarcinoma transcript l (MALAT1) as a candidate serological biomarker for non-small cell lung cancer (NSCLC).

methodsDiagnostic studies relevant to circulation long noncoding RNA MALAT1 as a candidate serological biomarker for NSCLC were electronically systematically searched in PubMed, EMBASE, EBSCO and CNKI databases. Suitable studies were included in the meta-analysis by pooling the diagnostic sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR) and area under the symmetric ROC curve (AUC) through a random or fixed effects model. Deeks' funnel plot was applied for publication bias evaluation.

resultsSix studies with eight datasets were finally included in the meta-analysis after a systematic search of the databases was performed. The pooled diagnostic sensitivity, specificity, +LR, -LR and DOR were 0.81 (95% CI:0.78-0.84), 0.67 (95% CI:0.63-0.71), 2.61 (95% CI:1.81-3.71), 0.28 (95% CI:0.19-0.43) and 13.73 (95% CI:6.19-30.44), respectively. The pooled area under the ROC curve (AUC) were 0.8663 and 0.8658, respectively by symmetric and asymmetric methods.

conclusionBased on the results of our study, serum long noncoding RNA MALAT1 is a promising biomarker for NSCLC screening. However, due to its low specificity, MALAT1 positive cases need further validation for NSCLC by other diagnostic methods such as radiology, cytology, etc.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsPrognosisRNA, Long NoncodingBiomarkers, TumorMALAT1 long non-coding RNA, humanRNA, Long NoncodingLong noncoding RNAMALAT1meta-analysisnon-small cell lung cancer: diagnosisserological biomarker

Identifiers

PMID31846184
PMCPMC6997019

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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.