Evidence map›Paper›PMID 16890548›Full record

ArticleAmerican journal of obstetrics and gynecology2006

Analysis of microarray experiments of gene expression profiling.

Adi L Tarca, Roberto Romero, Sorin Draghici

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% 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

102 citing papers in PubMed, 2 syntheses or guidelines pooled it, 303 citations in OpenAlex.

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  18. Identification and validation of reference genes in vetiver (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
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42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Adi L TarcaPerinatology Research Branch, National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
Roberto Romero
Sorin Draghici
National Institutes of Health · US

Funding

THE ROLE OF SUBCLINICAL INFECTION AND CYTOKINES IN PRETERM PARTURITIONZ01HD002400 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 1992 to 2008
$8.2M
Activity-Dependent Gene Expression in Human EpilepsyR01NS045207 · NINDS · WAYNE STATE UNIVERSITY · PI LOEB, JEFFREY A · 2003 to 2010
$2.1M
Novel Algorithms &Organisms for Onto-ToolsR01HG003491 · NHGRI · WAYNE STATE UNIVERSITY · PI DRAGHICI, SORIN · 2005 to 2007
$877k
Software tools for pediatric neuroimagingR21EB000990 · NIBIB · WAYNE STATE UNIVERSITY · PI MUZIK, OTTO · 2002 to 2004
$442k
Markers for the Early Detection of Ovarian CancerR21CA100740 · NCI · WAYNE STATE UNIVERSITY · PI TAINSKY, MICHAEL A · 2003 to 2003
$151k
Intramural NIH HHSNCI NIH HHS 1R21CA10074001NCI NIH HHS R21 CA100740NHGRI NIH HHS 1R01HG003491NHGRI NIH HHS R01 HG003491NIBIB NIH HHS IR21 EB00990-01NIBIB NIH HHS R21 EB000990NINDS NIH HHS 1R01 NS045207-01NINDS NIH HHS R01 NS045207
6 · The paper itself

Abstract

The study of gene expression profiling of cells and tissue has become a major tool for discovery in medicine. Microarray experiments allow description of genome-wide expression changes in health and disease. The results of such experiments are expected to change the methods employed in the diagnosis and prognosis of disease in obstetrics and gynecology. Moreover, an unbiased and systematic study of gene expression profiling should allow the establishment of a new taxonomy of disease for obstetric and gynecologic syndromes. Thus, a new era is emerging in which reproductive processes and disorders could be characterized using molecular tools and fingerprinting. The design, analysis, and interpretation of microarray experiments require specialized knowledge that is not part of the standard curriculum of our discipline. This article describes the types of studies that can be conducted with microarray experiments (class comparison, class prediction, class discovery). We discuss key issues pertaining to experimental design, data preprocessing, and gene selection methods. Common types of data representation are illustrated. Potential pitfalls in the interpretation of microarray experiments, as well as the strengths and limitations of this technology, are highlighted. This article is intended to assist clinicians in appraising the quality of the scientific evidence now reported in the obstetric and gynecologic literature.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisAlgorithmsBiasHumansResearch DesignStatistics as Topic

Identifiers

PMID16890548
PMCPMC2435252
OpenAlexW2166105333

What OpenQuestion holds

Textmetadata
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.