Evidence map›Paper›PMID 29901577›Full record

ArticleMedicine2018

Serum miR-17, IL-4, and IL-6 levels for diagnosis of endometriosis.

Fang Wang, Hongxia Wang, Danting Jin, Yang Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 6 pooled it
5.7field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 6 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Liquid Biopsy in Endometriosis: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Endometriosis: An Immunologist's Perspective.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
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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 1 institution in 1 country.

Fang WangDepartment of Gynecology Department of Pathology Department of Clinical Laboratory, The First People's Hospital of Lianyungang, Xuzhou Medical University Affiliated Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Hongxia Wang
Danting Jin
Yang Zhang
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical studies have exhibited microRNAs or cytokines could be used as new biomarkers in the diagnosis of endometriosis, respectively. The purpose of this study was to investigate the role of serum miR-17, IL-4, and IL-6 as early diagnostic markers of endometriosis. One hundred forty patients aged 22 to 45 years were recruited, 80 patients with pathologically confirmed endometriosis were assigned to endometriosis group whereas the remaining 60 patients were in the control group. The blood samples were collected immediately before laparoscopy and analyzed using real-time quantitative PCR analysis. In patients with endometriosis, the level of miR-23b decreased significantly, the levels of IL-4 and IL-6 increased remarkably compared with that in patients without endometriosis. Correlation analysis revealed miR-17 levels were negatively correlated with IL-4 (r = -0.974, P < .05) and IL-6 (r = -0.944, P < .05). The ROC curve manifested joint of miR-17 and selected cytokines could improve the diagnostic power with an AUC of 0.84 (95% CI: 0.75-0.96). In short, the present study characterizes the role of miR-17, IL-4, and IL-6 in the pathogenesis of endometriosis, suggesting the feasibility of using miR-17 and selected cytokines as a noninvasive diagnostic test for the detection of endometriosis.

Indexed as

AdultArea Under CurveBiomarkersEndometriosisFemaleHumansInterleukin-4Interleukin-6LaparoscopyMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionROC CurveYoung AdultBiomarkersInterleukin-4Interleukin-6MicroRNAsMIRN17 microRNA, human

Identifiers

PMID29901577
PMCPMC6023682
OpenAlexW2808642456

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.