Evidence map›Paper›PMID 22772565›Full record

ReviewNature medicine2012

From prenatal genomic diagnosis to fetal personalized medicine: progress and challenges.

Diana W Bianchi

Open access · greenAbstract readReview
In one paragraph

Review in Nature medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
24.7field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. Review
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  12. Review
  13. Real-time particle-by-particle detection of erythrocyte-camouflaged microsensor with extended circulation time in the bloodstream.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Down syndrome.Nature reviews. Disease primers · 2020
    Review
  15. Review
  16. Article
  17. Review
  18. Non-invasive Prenatal Testing Using Fetal DNA.Molecular diagnosis & therapy · 2019
    Review
  19. Review
  20. 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

1 author at 1 institution in 1 country.

Diana W BianchiThe Mother Infant Research Institute at Tufts Medical Center and the Division of Genetics, Department of Pediatrics, Floating Hospital for Children, Boston, Massachusetts, USA. dbianchi@tuftsmedicalcenter.org
Tufts Medical Center · US

Funding

Feto-Maternal DNA/RNA Trafficking:Biology &ApplicationsR01HD042053 · NICHD · TUFTS MEDICAL CENTER · PI BIANCHI, DIANA W. · 2004 to 2013
$3.2M
NICHD NIH HHS HD42053-09NICHD NIH HHS R01 HD042053
6 · The paper itself

Abstract

Thus far, the focus of personalized medicine has been the prevention and treatment of conditions that affect adults. Although advances in genetic technology have been applied more frequently to prenatal diagnosis than to fetal treatment, genetic and genomic information is beginning to influence pregnancy management. Recent developments in sequencing the fetal genome combined with progress in understanding fetal physiology using gene expression arrays indicate that we could have the technical capabilities to apply an individualized medicine approach to the fetus. Here I review recent advances in prenatal genetic diagnostics, the challenges associated with these new technologies and how the information derived from them can be used to advance fetal care. Historically, the goal of prenatal diagnosis has been to provide an informed choice to prospective parents. We are now at a point where that goal can and should be expanded to incorporate genetic, genomic and transcriptomic data to develop new approaches to fetal treatment.

Indexed as

Fetal DiseasesFetusGenomicsHumansPrecision MedicinePrenatal DiagnosisTranscriptome

Identifiers

PMID22772565
PMCPMC4433004
OpenAlexW2016035563

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.