Evidence map›Paper›PMID 31470827›Full record

SynthesisBMC cancer2019

Prognostic value of miR-221 in human malignancy: evidence from 3041 subjects.

Kangkang Liu, Lining Wang, Erlin Sun

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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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

3 authors.

Kangkang LiuDepartment of Urology, Tianjin institute of urology, The 2nd Hospital of Tianjin Medical University, No 23, PingJiang Road, Hexi District, Tianjin, 300211, People's Republic of China.
Lining WangDepartment of Urology, Tianjin institute of urology, The 2nd Hospital of Tianjin Medical University, No 23, PingJiang Road, Hexi District, Tianjin, 300211, People's Republic of China.
Erlin SunDepartment of Urology, Tianjin institute of urology, The 2nd Hospital of Tianjin Medical University, No 23, PingJiang Road, Hexi District, Tianjin, 300211, People's Republic of China. drelsun@163.com.ORCID http://orcid.org/0000-0003-1101-5913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiR-221, acting as onco-miR or oncosuppressor-miR, plays an important role in tumor progression; however, the prognostic value of miR-221 in human carcinomas is controversial and inconclusive. The objective of our study was to conducted a systematic review and meta-analysis of miR-221 in various types of human cancers.

methodsAn online search of up-to-date electronic databases, including PubMed and Embase, was conducted to identify as many relevant papers as possible. 32 papers involving 3041 patients with different carcinomas were included in the analysis. Hazard ratios (HRs) of miR-221 were used to evaluate prognostic values.

resultsThirty-two papers involving 15 cancers were included. MiR-221 was associated with a worse overall survival (OS) in patients, and a combined HR was 1.93 (95% CI of 1.43-2.60, 2080 patients, 22 studies, I-squared = 80.4%, P = 0.000); however, the combined HR for relapse-free survival (RFS) was 1.37 (95% CI of 0.75-2.48, 625 patients, 7 studies, I-squared = 78.8%, P = 0.000), and disease-free survival (DFS) was 1.24 (95% CI of 0.60-2.56, 539 patients, 5 studies, I-squared = 81.8%, P = 0.000).

conclusionMiR-221 was shown to be associated with a poor OS in human carcinomas, and thus may serve as a useful predictor of clinical outcomes.

Indexed as

Up-RegulationBiomarkers, TumorCarcinomaGene Expression Regulation, NeoplasticHumansMicroRNAsPrognosisSurvival AnalysisBiomarkers, TumorMicroRNAsMIR221, humanHuman carcinomaMeta-analysisMiR-221Prognosis

Identifiers

PMID31470827
PMCPMC6717359

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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.