Evidence map›Paper›PMID 32501997›Full record

SynthesisMedicine2020

The prognostic and diagnostic values of MicroRNA-10b in gastric cancer: A comprehensive study based on meta-analysis and TCGA database.

Lina Mei, Zhouxiang Lu, Zhangguo Shen, Sumei Xu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The emerging role of miR-10 family in gastric cancer.Cell cycle (Georgetown, Tex.) · 2021
    Review
  7. 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

4 authors at 3 institutions in 1 country.

Lina MeiDepartment of internal medicine, Huzhou Maternity & Child Health Care Hospital.
Zhouxiang LuDepartment of internal medicine, Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University.
Zhangguo ShenSchool of Information Engineering, Huzhou University.
Sumei XuDepartment of General Practice, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Zhejiang Chinese Medical University · CNHuzhou University · CNHuzhou Women and Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a study to evaluate the prognostic and diagnostic values of microRNA-10b (miR-10b) in gastric cancer (GC) based on meta-analysis and TCGA database. Relevant studies were searched in English and Chinese database and meta-analysis was conducted on Stata 12.0. The expression value of miR-10b and clinical parameters of GC patients were downloaded from TCGA database, and relevant analyses were conducted on SPSS. High expression of miR-10b was linked with unfavorable overall survival (OS) in GC (HR = 1.572, 95% CI: 1.240-1.992, P < .001). However, the meta-analysis was significant for patients in early stage, but not for patients in advanced stage. The expression of miR-10b-3p was significantly lower in cancer tissue compared with adjacent tissue (P < .001). Meanwhile, the area under the ROC curve (AUC) value was 0.652 (0.562-0.742), P = .001. Disease-free survival analysis showed increasing miR-10b-5p was correlated with worse survival outcome (HR = 2.366, 95% CI: 1.414-3.959, P = .001). In conclusion, miR-10b acts as a tumor suppressor with prognostic and diagnostic values for GC.

Indexed as

PrognosisBiomarkers, TumorHumansMicroRNAsProportional Hazards ModelsROC CurveStomach NeoplasmsBiomarkers, TumorMicroRNAsMIRN10 microRNA, human

Identifiers

PMID32501997
PMCPMC7306363
OpenAlexW3034046804

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.