Evidence map›Paper›PMID 26160993›Full record

ReviewDisease markers2015

Predicting Preterm Labour: Current Status and Future Prospects.

Harry M Georgiou, Megan K W Di Quinzio, Michael Permezel, Shaun P Brennecke

Open access · hybridAbstract readReview
In one paragraph

Review in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. PCYT1B-Targeting miRNAs as Potential Biomarkers for Placental Diseases.International journal of molecular sciences · 2026
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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 2 institutions in 1 country.

Harry M GeorgiouDepartment of Obstetrics and Gynaecology, University of Melbourne, VIC 3010, Australia ; Mercy Perinatal Research Centre, Mercy Hospital for Women, Heidelberg, VIC 3084, Australia ; Pregnancy Research Centre, Royal Women's Hospital, Parkville, VIC 3052, Australia.
Megan K W Di QuinzioDepartment of Obstetrics and Gynaecology, University of Melbourne, VIC 3010, Australia ; Mercy Perinatal Research Centre, Mercy Hospital for Women, Heidelberg, VIC 3084, Australia.
Michael PermezelDepartment of Obstetrics and Gynaecology, University of Melbourne, VIC 3010, Australia ; Mercy Perinatal Research Centre, Mercy Hospital for Women, Heidelberg, VIC 3084, Australia.
Shaun P BrenneckeDepartment of Obstetrics and Gynaecology, University of Melbourne, VIC 3010, Australia ; Pregnancy Research Centre, Royal Women's Hospital, Parkville, VIC 3052, Australia.
University of Melbourne · AUMercy Hospital for Women · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm labour and birth are a major cause of perinatal morbidity and mortality. Despite modern advances in obstetric and neonatal management, the rate of preterm birth in the developed world is increasing. Yet even though numerous risk factors associated with preterm birth have been identified, the ability to accurately predict when labour will occur remains elusive, whether it is at a term or preterm gestation. In the latter case, this is likely due to the multifactorial aetiology of preterm labour wherein women may display different clinical presentations that lead to preterm birth. The discovery of novel biomarkers that could reliably identify women who will subsequently deliver preterm may allow for timely medical intervention and targeted therapeutic treatments aimed at improving maternal and fetal outcomes. Various body fluids including amniotic fluid, urine, saliva, blood (serum/plasma), and cervicovaginal fluid all provide a rich protein source of putative biochemical markers that may be causative or reflective of the various pathophysiological disorders of pregnancy, including preterm labour. This short review will highlight recent advances in the field of biomarker discovery and the utility of single and multiple biomarkers for the prediction of preterm birth in the absence of intra-amniotic infection.

Indexed as

BiomarkersBody FluidsFemaleHumansObstetric Labor, PrematurePregnancyRisk FactorsBiomarkers

Identifiers

PMID26160993
PMCPMC4486247
OpenAlexW1527120121

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.