Evidence map›Paper›PMID 24664552›Full record

SynthesisAmerican journal of medical genetics. Part A2014

An economic analysis of prenatal cytogenetic technologies for sonographically detected fetal anomalies.

Lorie M Harper, Amelia L M Sutton, Ryan E Longman, Anthony O Odibo

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of medical genetics. Part A, 2014. 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
2.5field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 16 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

4 authors at 2 institutions in 1 country.

Lorie M HarperDepartment of Obstetrics and Gynecology, The University of Alabama at Birmingham, Birmingham, Alabama.
Amelia L M Sutton
Ryan E Longman
Anthony O Odibo
University of Alabama at Birmingham · USWashington University in St. Louis · US

Funding

OB/GYN FACULTY RESEARCH CAREER DEVELOPMENT PROGRAMK12HD001258 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JENKINS, TODD R · 1999 to 2019
$5.6M
NICHD NIH HHS K12 HD001258
6 · The paper itself

Abstract

When congenital anomalies are diagnosed on prenatal ultrasound, the current standard of care is to perform G-banded karyotyping on cultured amniotic cells. Chromosomal microarray (CMA) can detect smaller genomic deletions and duplications than traditional karyotype analysis. CMA is the first-tier test in the postnatal evaluation of children with multiple congenital anomalies. Recent studies have demonstrated the utility of CMA in the prenatal setting and have advocated for widespread implementation of this technology as the preferred test in prenatal diagnosis. However, CMA remains significantly more expensive than karyotype. In this study, we performed an economic analysis of cytogenetic technologies in the prenatal diagnosis of sonographically detected fetal anomalies comparing four strategies: (i) karyotype alone, (ii) CMA alone, (iii) karyotype and CMA, and (iv) karyotype followed by CMA if the karyotype was normal. In a theoretical cohort of 1,000 patients, CMA alone and karyotype followed by CMA if the karyotype was normal identified a similar number of chromosomal abnormalities. In this model, CMA alone was the most cost-effective strategy, although karyotype alone and CMA following a normal karyotype are both acceptable alternatives. This study supports the clinical utility of CMA in the prenatal diagnosis of sonographically detected fetal anomalies.

Indexed as

Cost-Benefit AnalysisCytogenetic AnalysisUltrasonography, PrenatalCongenital AbnormalitiesDecision TreesHumansIncidenceMonte Carlo Methodarray comparative genomic hybridization (aCGH)chromosomal microarray (CMA)congenital anomaliescost-effectiveness analysisultrasonic prenatal diagnosis

Identifiers

PMID24664552
PMCPMC4251870
OpenAlexW2076611631

What OpenQuestion holds

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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.