Evidence map›Paper›PMID 26628296›Full record

ReviewTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Serum microRNAs as potential noninvasive biomarkers for glioma.

Xin Yu, Zheng Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The miR-200 family: multiple effects on gliomas.Cancer management and research · 2018
    Review
  9. A Pilot Study of Circulating MicroRNA-125b as a Diagnostic and Prognostic Biomarker for Epithelial Ovarian Cancer.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2017
    Article
  10. Serum microRNA-376 family as diagnostic and prognostic markers in human gliomas.Cancer biomarkers : section A of Disease markers · 2017
    Article
  11. Article
  12. 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

2 authors at 1 institution in 1 country.

Xin YuDepartment of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zheng LiDepartment of Orthopaedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. kleeo@163.com.
Peking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are derived from astroglial precursors or astrocytes, accounting for 40 % central nervous system tumors. MicroRNAs (miRNAs) are a class of endogenous, small (19- to 23-nucleotides) non-coding RNAs involved in cancer progression. Recent studies show that circulating miRNAs are associated with the clinicopathological features and prognosis of gliomas. Serum miRNAs may serve as novel biomarkers for gliomas diagnosis. This review explores the possibilities of using serum miRNAs as prognostic, diagnostic markers, and therapeutic targets in gliomas.

Indexed as

AnimalsBiomarkers, TumorBrain NeoplasmsGliomaHumansMicroRNAsBiomarkers, TumorMicroRNAsBiomarkersCirculating miRNAsGliomasMicroRNASerum miRNAs

Identifiers

PMID26628296
OpenAlexW2264623850

What OpenQuestion holds

Textmetadata
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.