Evidence map›Paper›PMID 26062129›Full record

ReviewInternational journal of molecular sciences2015

From Pre-Clinical Studies to Clinical Trials: Generation of Novel Therapies for Pregnancy Complications.

Elizabeth C Cottrell, Colin P Sibley

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Antenatal sildenafil citrate treatment increases offspring blood pressure in the placental-specificAmerican journal of physiology. Heart and circulatory physiology · 2020
    Article
  6. Article
  7. Article
  8. 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

2 authors at 1 institution in 1 country.

Elizabeth C CottrellMaternal and Fetal Health Research Centre, Institute of Human Development, University of Manchester, Manchester M13 9WL, UK. elizabeth.cottrell@manchester.ac.uk.
Colin P SibleyMaternal and Fetal Health Research Centre, Institute of Human Development, University of Manchester, Manchester M13 9WL, UK. colin.sibley@manchester.ac.uk.
University of Manchester · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

Complications of pregnancy represent a significant disease burden, with both immediate and lasting consequences for mother and baby. Two key pregnancy complications, fetal growth restriction (FGR) and preeclampsia (PE), together affect around 10%-15% of all pregnancies worldwide. Despite this high incidence, there are currently no therapies available to treat these pregnancy disorders. Early delivery remains the only intervention to reduce the risk of severe maternal complications and/or stillbirth of the baby; however early delivery itself is associated with increased risk of neonatal mortality and morbidity. As such, there is a pressing need to develop new and effective treatments that can prevent or treat FGR and PE. Animal models have been essential in identifying and screening potential new therapies in this field. In this review, we address recent progress that has been made in developing therapeutic strategies for pregnancy disorders, some of which are now entering clinical trials.

Indexed as

Clinical Trials as TopicAnimalsDrug Evaluation, PreclinicalFemaleFetal Growth RetardationHumansPre-EclampsiaPregnancyfetal growth restrictionpreclinical trials in pregnancypreeclampsiapregnancy

Identifiers

PMID26062129
PMCPMC4490478
OpenAlexW2168741422

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.