Evidence map›Paper›PMID 26499764›Full record

ReviewSeminars in perinatology2015

Newborn screening and the era of medical genomics.

Ludmila Francescatto, Nicholas Katsanis

Abstract readReview
In one paragraph

Review in Seminars in perinatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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.

Ludmila FrancescattoCenter for Human Disease Modeling, Duke University School of Medicine, 300 N Duke St, Durham, NC 27701.
Nicholas KatsanisCenter for Human Disease Modeling, Duke University School of Medicine, 300 N Duke St, Durham, NC 27701. Electronic address: katsanis@cellbio.duke.edu.

Funding

Research Project 3P50DK096415 · NIDDK · DUKE UNIVERSITY · PI HAUSER, MICHAEL A · 2012 to 2016
$4.2M
NIDDK NIH HHS P50 DK096415NIDDK NIH HHS P50DK096415
6 · The paper itself

Abstract

Across the span of the last 75+ years, technological and conceptual advances in genetics have found rapid implementation at the beginning of human life. From karyotype testing, to molecular cytogenetics, to gene panel testing, and now to whole exome and whole genome sequencing, each iterative expansion of our capability to acquire genetic data on the next generation has been implemented quickly in the clinical setting. In tandem, our continuously expanding ability to acquire large volumes of genetic data has generated its own challenges in terms of interpretation, clinical utility of the information, and concerns over privacy and discrimination; for the first time, we are faced with the possibility of having complete access to our genetic data from birth, if not shortly after conception. Here, we discuss the evolution of the field toward this new reality and we consider the potentially far-reaching consequences and, at present, an unclear path toward developing best practices for implementation.

Indexed as

DNA Mutational AnalysisFemaleGenetic Diseases, InbornGenetic Predisposition to DiseaseGenetic TestingGenetic VariationHumansInfantInfant, NewbornMaleMolecular Diagnostic TechniquesNeonatal ScreeningPregnancygenetic testingin vivo model organismsnewborn screeningnext-generation sequencingrare genetic disorderswhole exome/genome sequencing

Identifiers

PMID26499764
PMCPMC4644676

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.