Evidence map›Paper›PMID 31435203›Full record

ArticleCurrent women's health reviews2018

Future Directions in Endometriosis Research and Therapeutics.

Warren B Nothnick, Courtney Marsh, Zahraa Alali

Abstract read
In one paragraph

Article in Current women's health reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

3 authors.

Warren B NothnickDepartment of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, USA.
Courtney MarshDepartment of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, USA.
Zahraa AlaliDepartment of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, USA.

Funding

The Role of miR-451 in Endometriosis Pathophysiology and TreatmentR01HD069043 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NOTHNICK, WARREN B · 2012 to 2016
$1.7M
NICHD NIH HHS R01 HD069043
6 · The paper itself

Abstract

backgroundEndometriosis is a disease common among women of reproductive age characterized by pain, anxiety and infertility. Defined as the growth of endometrial tissue in ectopic locations, endometriosis remains an enigmatic disease for which current treatments are less than ideal. Much of these shortcomings to current therapy stem from our incomplete understanding on the pathogenesis of the disease. It is generally accepted that endometriosis is an estrogen-dependent disease and, as such, the majority of treatment approaches aim at reducing estrogen action and/or production. Unfortunately, this approach is not effective in all women with endometriosis and in those women where success is achieved with their use, there is potential for health-comprising side effects.

objectiveThe objective of this review is to summarize current approaches for treatment of endometriosis, discuss their limitations and potential reasons for lack of progress towards better therapeutics for this disease.

resultsIn this review we summarize the current approaches for treatment of endometriosis, discuss their limitations and potential reasons for lack of progress towards better therapeutics for this disease.

conclusionBased upon the current state of knowledge, there is a strong necessity for through assessment at the level of the genome, miRNAome and proteome as well as the importance of integrating clinically-relevant endpoints in future studies which evaluate potential endometriosis therapies in experimental models of endometriosis.

Indexed as

endometriosisestrogen-sparingexperimental modelsmicroRNAtherapeutics

Identifiers

PMID31435203
PMCPMC6703816

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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.