Evidence map›Paper›PMID 30486359›Full record

ReviewInternational journal of molecular sciences2018

Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection.

Kenji Tanimura, Hideto Yamada

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Observational
  2. Review
  3. Frequency of CMV testing during pregnancy-a retrospective study.Archives of gynecology and obstetrics · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. An Overview of Cytomegalovirus Infection in Pregnancy.Diagnostics (Basel, Switzerland) · 2022
    Review
  9. Article
  10. Article
  11. 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

2 authors at 1 institution in 1 country.

Kenji TanimuraDepartment of Obstetrics and Gynecology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan. kobeobgy@med.kobe-u.ac.jp.
Hideto YamadaDepartment of Obstetrics and Gynecology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan. yhideto@med.kobe-u.ac.jp.ORCID 0000-0001-9839-2214
Kobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and treatment of infants with symptomatic congenital cytomegalovirus (CMV) infection may improve neurological outcomes. For this reason, prenatal detection of newborns at high risk for congenital CMV infection is important. A polymerase chain reaction (PCR) assay for CMV DNA in the amniotic fluid is the gold standard for the diagnosis of intrauterine CMV infection; however, amniocentesis is an invasive procedure. Recently, we have found that the presence of CMV DNA in the maternal uterine cervical secretion is predictive of the occurrence of congenital CMV infection in CMV immunoglobulin M (IgM)-positive pregnant women. In contrast, we have suggested that maternal serological screening for primary CMV infection using CMV-specific immunoglobulin G (IgG), the IgG avidity index, or CMV-specific IgM overlooks a number of newborns with congenital CMV infection. We will review current knowledge of the potential biomarkers for predicting congenital CMV infection.

Indexed as

BiomarkersInfectious Disease Transmission, VerticalAntibodies, ViralAntibody SpecificityCytomegalovirusCytomegalovirus InfectionsDiagnostic ImagingDisease SusceptibilityDNA, ViralEpitopesFemaleHumansImmunity, CellularImmunoassayImmunoglobulin GImmunoglobulin MAntibodies, ViralBiomarkersDNA, ViralEpitopesImmunoglobulin GImmunoglobulin Mbiomarkercongenital infectioncytomegaloviruspredictionscreening

Identifiers

PMID30486359
PMCPMC6321102
OpenAlexW2903227901

What Socratic 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 Socratic graph.