Evidence map›Paper›PMID 22385126›Full record

ReviewAmerican journal of reproductive immunology (New York, N.Y. : 1989)2012

A bioinformatics approach to preterm birth.

Alper Uzun, Surendra Sharma, James Padbury

Abstract readReview
In one paragraph

Review in American journal of reproductive immunology (New York, N.Y. : 1989), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genomics of preterm birth.Cold Spring Harbor perspectives in medicine · 2015
    Review
  5. Phenotyping clinical disorders: lessons learned from pelvic organ prolapse.American journal of obstetrics and gynecology · 2013
    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 at 2 institutions in 1 country.

Alper UzunDepartment of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, USA.
Surendra Sharma
James Padbury
Women & Infants Hospital of Rhode Island · USBrown University · US

Funding

UTERINE NK CELL HOMING FROM THE PERIPHERAL CIRCULATIONP20RR018728 · NCRR · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI BLISS, JOSEPH MARK · 2003 to 2011
$16.7M
Warren Alpert Medical School Basic Translational ResearchT35HL094308 · NHLBI · BROWN UNIVERSITY · PI Thomas Benedict Bartnikas, Brittany Star Hampton · 2009 to 2026
$808k
NCRR NIH HHS P20 RR018728NHLBI NIH HHS 5T35HL094308-02NHLBI NIH HHS T35 HL094308
6 · The paper itself

Abstract

A vast body of literature has suggested genetic programming of preterm birth. However, there is a complete lack of an organized analysis and stratification of genetic variants that may indeed be involved in the pathogenesis of preterm birth. We developed a novel bioinformatics approach to identify the nominal genetic variants associated with preterm birth. We used semantic data mining to extract all published articles related to preterm birth. Genes identified from public databases and archives of expression arrays were aggregated with genes curated from the literature. Pathway analysis was used to impute genes from pathways identified in the curations. The curated articles and collected genetic information are available in a web-based tool, the database for preterm birth (dbPTB) that forms a unique resource for investigators interested in preterm birth.

Indexed as

Databases, GeneticComputational BiologyFemaleGene Expression ProfilingGenome-Wide Association StudyHumansInfant, NewbornInfant, PrematureInternetPregnancyPregnancy ComplicationsPremature Birth

Identifiers

PMID22385126
PMCPMC3309125
OpenAlexW2066873351

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.