Evidence map›Paper›PMID 24337687›Full record

SynthesisDigestive diseases and sciences2014

Identification of circulating microRNAs as novel potential biomarkers for gastric cancer detection: a systematic review and meta-analysis.

Xingya Zhu, Mengmeng Lv, Hao Wang, Wenxian Guan

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Digestive diseases and sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Precision medicine in gastric cancer.World journal of gastrointestinal oncology · 2019
    Review
  13. Article
  14. MiR-1236-3p serves as a new diagnostic and prognostic biomarker for gastric cancer.Cancer biomarkers : section A of Disease markers · 2019
    Article
  15. Article
  16. Review
  17. Article
  18. Plasma exosomes as novel biomarker for the early diagnosis of gastric cancer.Cancer biomarkers : section A of Disease markers · 2018
    Review
  19. Article
  20. 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.

Xingya ZhuFirst Clinical Medical College, Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China, zhuxingya526@hotmail.com.
Mengmeng Lv
Hao Wang
Wenxian Guan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies show that microRNAs (miRNAs) in serum or plasma can be stably detected and used as potential biomarkers in cancer diagnosis.

objectivesTo systematically evaluate circulating miRNAs from numerous gastric cancer (GC) expression profiling studies and to determine miRNA biomarkers for GC detection.

methodsA systematic review and meta-analysis of published studies comparing the circulating miRNA expressions between GC patients and healthy controls were carried out. An miRNA ranking system that considered the number of comparisons in agreement, total number of samples, and average fold change was used. Then the receiver-operating characteristic curve (ROC) results of the top miRNAs were combined to further evaluate their diagnostic value by using Meta-disc 1.4.

resultsA total of 35 miRNAs were reported in the 22 included studies, with 7 miRNAs reported in at least 2 studies. MiR-21 is the most consistently reported miRNA with upregulation. In further analysis, the sensitivity, specificity, and area under the curve of summary ROC for miR-21 in GC diagnosis are 0.78 (95 % CI 0.71-0.85), 0.89 (95 % CI 0.82-0.94), and 0.91, respectively.

conclusionCirculating miR-21 can serve as a potential biomarker for detection of GC.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticHumansMicroRNAsStomach NeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

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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.