Evidence map›Paper›PMID 29796356›Full record

ReviewCureus2018

MicroRNAs as Potential Serum Biomarkers for Early Detection of Ectopic Pregnancy.

Emmanuel N Kontomanolis, Sofia Kalagasidou, Zacharias Fasoulakis

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. The effect of MicroRNAs variants on idiopathic recurrent pregnancy loss.Journal of assisted reproduction and genetics · 2023
    Article
  4. Mechanism of Human Tubal Ectopic Pregnancy Caused by Cigarette Smoking.Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
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

3 authors at 2 institutions in 2 countries.

Emmanuel N KontomanolisObstetrics and Gynecology, Democritus University of Thrace, University Hospital of Alexandroupolis.
Sofia KalagasidouDepartment of Obstetrics and Gynecology, Bodosakio General Hospital of Ptolemaida.
Zacharias FasoulakisObstetrics and Gynecology, Democritus University of Thrace, University Hospital of Alexandroupolis.
Poole Hospital · GBDemocritus University of Thrace · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of ectopic pregnancy relies on both ultrasound findings and human chorionic gonadotropin (hCG) measurements but due to the need for serial tests, tubal rupture and death represent major maternal and fetal risks. Early detection of ectopic pregnancy is essential and thus a noninvasive diagnostic tool seems crucial for the prevention of adverse effects since studies suggest there is a specific relationship between ectopic pregnancy and increasing microRNA factors. Human fluids in women with ectopic pregnancy reveal a particular change in comparison to healthy women. In addition to certain placental microRNAs circulating through plasma that present a specific concentration and serum profile, microRNAs seem to be possible biomarkers for the detection of pregnancy complications linked to placental pathologies. The aim of this study is to review current literature considering the expression levels of several circulating microRNAs that have shown to be novel potential biomarkers for the diagnosis of tubal ectopic pregnancy.

Indexed as

diagnosisearly detectioectopic pregnancymicrornas

Identifiers

PMID29796356
PMCPMC5959728
OpenAlexW2790201348

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.