Evidence map›Paper›PMID 30069274›Full record

SynthesisDisease markers2018

Correlation between miR-200 Family Overexpression and Cancer Prognosis.

Wen Liu, Kaiping Zhang, Pengfei Wei, Yue Hu, Yaqin Peng, Xiang Fang, Guoping He, Limin Wu, Min Chao, Jing Wang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Exosomal miR-141 promotes tumor angiogenesis via KLF12 in small cell lung cancer.Journal of experimental & clinical cancer research : CR · 2020
    Article
  10. 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

10 authors.

Wen LiuPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui, China.ORCID 0000-0002-0472-1548
Kaiping ZhangDepartment of Urology, Anhui Provincial Children's Hospital and Children's Hospital of Anhui Medical University, Hefei, Anhui, China.
Pengfei WeiHefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Innate Immunity and Chronic Disease, Innovation Center for Cell Signaling Network, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China.
Yue HuPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui, China.
Yaqin PengPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui, China.
Xiang FangDepartment of Urology, Anhui Provincial Children's Hospital and Children's Hospital of Anhui Medical University, Hefei, Anhui, China.
Guoping HePrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui, China.
Limin WuPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui, China.
Min ChaoDepartment of Urology, Anhui Provincial Children's Hospital and Children's Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID 0000-0002-1995-0431
Jing WangPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui, China.ORCID 0000-0002-4828-9347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The correlation between miR-200 family overexpression and cancer prognosis remains controversial. Therefore, we conducted a systematic review and meta-analysis by searching PubMed, Embase, Cochrane Library, China Biology Medicine disc (CBM), and China National Knowledge Infrastructure (CNKI) to identify eligible studies. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate the strength of the correlations. Additionally, different subgroup analyses and publication bias test were performed. Eventually, we analyzed 23 articles that included five tumor types and 3038 patients. Consequently, high expression of miR-200 family in various tumors was associated with unfavorable overall survival (OS) in both univariate (HR = 1.32, 95% CI: 1.14-1.54,

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansMaleMicroRNAsMiddle AgedNeoplasmsSurvival AnalysisBiomarkers, TumorMicroRNAsMIRN200 microRNA, human

Identifiers

PMID30069274
PMCPMC6057334

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.