Evidence map›Paper›PMID 33016254›Full record

SynthesisTechnology in cancer research & treatment

LncRNA NORAD as a Novel Predictor of Lymph Node Metastasis and Prognosis in Solid Tumors: A Systematic Review and Meta-Analysis.

Tao Ye, Zhangqun Ye

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 33% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  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

2 authors at 1 institution in 1 country.

Tao YeDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.ORCID 0000-0003-4492-8399
Zhangqun YeDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Tongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-coding RNA-activated by DNA damage (NORAD), a novel identified lncRNA, was found to be aberrantly expressed in various types of cancer. This meta-analysis was performed to evaluate the value of lncRNA NORAD as a prognostic biomarker in human cancers.

methodsWe searched PubMed, Web of Science, PMC, and Embase databases thoroughly for eligible literatures. Studies which explored the relationship of lncRNA NORAD expression with clinical outcomes in human cancers were included in our meta-analysis. Review Manager version 5.3 and Stata SE 12.0 were used to perform the data analyses.

resultsOur meta-analysis results indicated that cancer patients with high lncRNA NORAD expression tended to have unfavorable overall survival (OS) (HR = 1.67; 95% CI, 1.44-1.95; P < 0.00001). Moreover, elevated lncRNA NORAD expression showed a significant relationship with poor tumor grade (OR = 1.61; 95% CI, 1.01-2.56; P = 0.05) and more lymph node metastasis (LNM) (OR = 2.66; 95% CI, 1.60-4.43; P = 0.0002).

conclusionsLncRNA NORAD could serve as a valuable biomarker to predict poor prognosis and LNM in various human tumors.

Indexed as

Biomarkers, TumorDatabases, FactualGene Expression Regulation, NeoplasticHumansLymphatic MetastasisNeoplasmsPrognosisRNA, Long NoncodingBiomarkers, TumorNORAD long non-coding RNA, humanRNA, Long NoncodingcancerLncRNAmeta-analysisNORADprognosis

Identifiers

PMID33016254
PMCPMC7543145
OpenAlexW3091256065

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.