Evidence map›Paper›PMID 30010531›Full record

ArticleThe Permanente journal2018

Implementing a Protocol to Optimize Detection of Chromosome Abnormalities in Cases of Miscarriage or Stillbirth at a Midwestern Teaching Hospital.

Shobana Kubendran, Jennifer Duong, Fanglong Dong, Amy Lueking, Darren Farley

Abstract read
In one paragraph

Article in The Permanente journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Shobana KubendranAssociate Professor in Pediatrics at the University of Kansas School of Medicine in Wichita. shobana.kubendran@wesleymc.com.
Jennifer DuongResearch Associate in Obstetrics and Gynecology at the University of Kansas School of Medicine in Wichita. jduong@kumc.edu.
Fanglong DongAssociate Professor in the Graduate College of Biomedical Science at Western University of Health Sciences in Pomona, CA. fdong@westernu.edu.
Amy LuekingObstetrician-Gynecologist for the Avera Medical Group in Pierre, SD. amy.lueking@avera.org.
Darren FarleyClinical Assistant Professor in Obstetrics and Gynecology at the University of Kansas School of Medicine in Wichita. darren.farley@awhobgyn.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextResults from chromosome testing after spontaneous abortion (SAB) or intrauterine fetal demise (IUFD) are useful in patient counseling; however, results can be inconclusive when cell cultures for chromosomes are unable to grow from products of conception. Chromosomal microarray analysis (CMA) can analyze DNA from nonviable fetal tissue.

objectiveTo examine whether establishing a genetic testing protocol for karyotype and CMA on SAB and IUFD tissues increases diagnostic yield.

designA retrospective chart review was conducted in cases of SAB or IUFD when karyotyping and/or CMA was requested, comparing two periods: Preprotocol and postprotocol implementation.

main outcome measuresDiagnostic yield was compared by using the number of determinate test results in the preprotocol and postprotocol study periods. A case was considered to have indeterminate results when the final genetic test results reported no fetal tissue or no cell culture growth.

resultsA total of 55 preprotocol and 52 postprotocol patients were analyzed. Diagnostic yield increased from 72.7% to 94.2% after implementation of the genetic testing protocol (p = 0.0004). Indeterminate results occurred more frequently before compared with after implementation of the protocol.

conclusionA protocol of reflexing to CMA or proceeding directly with CMA gives a higher diagnostic yield in the genetic evaluation of SAB or IUFD. Institutions should consider implementing a genetic testing protocol to improve diagnostic yield. Our study results emphasize the importance of proceeding directly to microarray analysis and give support for current clinical recommendations for genetic testing after fetal demise.

Indexed as

Chromosome AberrationsStillbirthAbortion, SpontaneousChromosome DisordersFemaleGenetic TestingHumansKaryotypingMicroarray AnalysisPregnancyRetrospective Studies

Identifiers

PMID30010531
PMCPMC6047853

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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.