Evidence map›Paper›PMID 28978185›Full record

ReviewOncotarget2017

Prognostic role of miR-17-92 family in human cancers: evaluation of multiple prognostic outcomes.

Feifei Liu, Feng Zhang, Xiangyu Li, Qi Liu, Wei Liu, Peng Song, Ziying Qiu, Yu Dong, Hao Xiang

Abstract readReview
In one paragraph

Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Head and Neck Squamous Cell Carcinoma: Epigenetic Landscape.Diagnostics (Basel, Switzerland) · 2020
    Review
  12. Article
  13. miRNAs in the Diagnosis and Prognosis of Skin Cancer.Frontiers in cell and developmental biology · 2020
    Review
  14. Micro RNA Transcriptome Profile in Canine Oral Melanoma.International journal of molecular sciences · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. 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

9 authors.

Feifei LiuDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Feng ZhangDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Xiangyu LiDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Qi LiuDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Wei LiuDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Peng SongDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Ziying QiuDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Yu DongDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Hao XiangDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence indicates that miR-17-92 family might be an essential prognostic biomarker for human cancers. However, results are still inconsistent. We therefore performed a meta-analysis to evaluate the predictive role of miR-17-92 family in human cancer prognosis. We searched literatures published before March 31th, 2017 inPubMed, Cochrane and Embase databases. Twenty six studies were included in our analyses. The overall hazard ratios (HRs) showed that high expression level of miR-17-92 family was a predictor of poor overall survival (OS): adjusted HRs = 1.71, 95% confidence intervals (CIs): 1.39-2.11,

Indexed as

cancermeta-analysismiR-17-92 familyprognosis

Identifiers

PMID28978185
PMCPMC5620325

What OpenQuestion holds

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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.