Evidence map›Paper›PMID 21666470›Full record

ReviewCurrent opinion in obstetrics & gynecology2011

Laboratory models for studying ectopic pregnancy.

Jeremy K Brown, Andrew W Horne

Abstract readReview
In one paragraph

Review in Current opinion in obstetrics & gynecology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Effect and Role of miR-196b in Ectopic Pregnancy.Journal of healthcare engineering · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The paracrinology of tubal ectopic pregnancy.Molecular and cellular endocrinology · 2012
    Review
  10. Article
  11. 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.

Jeremy K BrownMRC Centre for Reproductive Health, Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, UK.
Andrew W Horne

Funding

Medical Research Council G0802808Medical Research Council G0802808(90914)Medical Research Council G1002033
6 · The paper itself

Abstract

purpose of reviewUnderstanding the cause of tubal ectopic pregnancy (tEP) remains incomplete. We aim to summarize the latest advances in laboratory models of tEP that we believe will, ultimately, contribute to improving the diagnosis and management of the condition. RECENT

findingsProgress in proteome prefractionation and multidimensional protein identification technology has proved particularly effective in identifying novel biomarkers of tEP. These, and related global proteomic and genomic approaches, have as yet to be fully exploited in this context but do have substantial potential to inform future hypothesis-driven studies. The majority of data generated since 2009 to explain the cause of tEP continues to derive from descriptive human ex-vivo studies. In-vitro models of fallopian tube ciliary and smooth muscle function have improved to a limited degree, on the back of continuing advances in imaging and data acquisition. We believe that the recent development of a primary human fallopian tube epithelium culture system represents the most significant recent advance in laboratory models for studying ectopic pregnancy. There remain no good animal models of tEP. SUMMARY: The establishment of a viable animal model of tEP remains the key obstacle to a complete understanding of the cause of the condition.

Indexed as

AnimalsBiomarkersFallopian TubesFemaleHumansModels, BiologicalPregnancyPregnancy, TubalTissue Culture TechniquesBiomarkers

Identifiers

PMID21666470
PMCPMC3209735

What OpenQuestion holds

Textmetadata
LicenceTDM
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.