Evidence map›Paper›PMID 31343747›Full record

ReviewPrenatal diagnosis2019

Prenatal genetic considerations of congenital anomalies of the kidney and urinary tract (CAKUT).

Asha N Talati, Carolyn M Webster, Neeta L Vora

Open access · greenAbstract readReview
In one paragraph

Review in Prenatal diagnosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 77 citations in OpenAlex.

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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 1 institution in 1 country.

Asha N TalatiDepartment of Obstetrics and Gynecology, DRAFT, Division of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0002-8590-5911
Carolyn M WebsterDepartment of Obstetrics and Gynecology, DRAFT, Division of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Neeta L VoraDepartment of Obstetrics and Gynecology, DRAFT, Division of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · US

Funding

Early Genomic DiagnosisK23HD088742 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VORA, NEETA L · 2017 to 2020
$685k
NICHD NIH HHS K23 HD088742NICHD NIH HHS K23HD088742
6 · The paper itself

Abstract

Congenital anomalies of the kidney and urinary tract (CAKUT) constitute 20% of all congenital malformations occurring in one in 500 live births. Worldwide, CAKUT are responsible for 40% to 50% of pediatric and 7% of adult end-stage renal disease. Pathogenic variants in genes causing CAKUT include monogenic diseases such as polycystic kidney disease and ciliopathies, as well as syndromes that include isolated kidney disease in conjunction with other abnormalities. Prenatal diagnosis most often occurs using ultrasonography; however, further genetic diagnosis may be made using a variety of testing strategies. Family history and pathologic examination can also provide information to improve the ability to make a prenatal diagnosis of CAKUT. Here, we provide a comprehensive overview of genetic considerations in the prenatal diagnosis of CAKUT disorders. Specifically, we discuss monogenic causes of CAKUT, associated ultrasound characteristics, and considerations for genetic diagnosis, antenatal care, and postnatal care.

Indexed as

Prenatal DiagnosisFemaleHumansKidneyKidney Diseases, CysticPregnancyUrogenital Abnormalities

Identifiers

PMID31343747
PMCPMC7272185
OpenAlexW2962862481

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.