Evidence map›Paper›PMID 27153564›Full record

SynthesisOncotarget2016

MicroRNA-21 as a potential diagnostic biomarker for breast cancer patients: a pooled analysis of individual studies.

Ying Gao, Qiliang Cai, Yubei Huang, Shu Li, Hongxi Yang, Li Sun, Kexin Chen, Yaogang Wang

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Clinical utility of circulating non-coding RNAs - an update.Nature reviews. Clinical oncology · 2018
    Review
  16. Review
  17. Association of long non-coding RNA GAS5 and miR-21 levels in CD4Experimental and therapeutic medicine · 2018
    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

8 authors at 3 institutions in 1 country.

Ying GaoDepartment of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Qiliang CaiDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Yubei HuangDepartment of Cancer Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Shu LiDepartment of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Hongxi YangDepartment of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Li SunDepartment of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Kexin ChenDepartment of Cancer Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Yaogang WangDepartment of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Tianjin Medical University · CNTianjin Medical University Cancer Institute and Hospital · CNSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA-21 (miR-21) has been reported as the potential novel diagnostic biomarker for breast cancer in several studies, but their results were inconsistent. Therefore, we conducted a systematic analysis to evaluate the diagnostic value of miR-21 in detecting breast cancer. A comprehensive electronic and manual search was conducted for relevant literatures through several databases up to November 9, 2015. QUADAS-2 was used to assess the quality of the studies included in the study. All statistical analyses were performed using Meta-Disc 1.4 and Stata 12.0. Eleven studies with a total of 918 breast cancer patients and 613 controls were included. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) with their 95% confidence intervals (CIs) were 0.72 (95% CI: 0.69-0.75), 0.80 (95% CI: 0.77-0.83), 3.37 (95% CI: 2.24-5.07), 0.30 (95% CI: 0.19-0.50), and 11.79 (95% CI: 5.23-26.57), respectively. The area under the curve of SROC was 0.8517. In conclusion, our analyses suggested that miR-21 is a promising biomarker in diagnosing breast cancer. For clinical purpose, further large-scale studies are warranted to validate its clinical application.

Indexed as

Biomarkers, TumorBreast NeoplasmsDatabases, FactualFemaleHumansMicroRNAsBiomarkers, TumorMicroRNAsMIRN21 microRNA, humanbiomarkerbreast cancerdiagnosticmeta-analysismicroRNA-21

Identifiers

PMID27153564
PMCPMC5085171
OpenAlexW2346174769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.