Evidence map›Paper›PMID 35396982›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2022

Cost-effectiveness of exome and genome sequencing for children with rare and undiagnosed conditions.

Tara A Lavelle, Xue Feng, Marlena Keisler, Joshua T Cohen, Peter J Neumann, Daryl Prichard, Brock E Schroeder, Daria Salyakina, Paula S Espinal, Samuel B Weidner and 1 more

Erratum issuedAbstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
10.5field-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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  13. Should Scotland provide genome-wide sequencing for the diagnosis of rare developmental disorders? A cost-effectiveness analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
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  16. Article
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  20. Genome Sequencing for Diagnosing Rare Diseases.The New England journal of medicine · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Tara A LavelleCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA. Electronic address: tlavelle@tuftsmedicalcenter.org.
Xue FengCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA.
Marlena KeislerCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA.
Joshua T CohenCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA.
Peter J NeumannCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA.
Daryl PrichardPersonalized Medicine Coalition, Washington, DC.
Brock E SchroederIllumina, San Diego, CA.
Daria SalyakinaPersonalized Medicine and Health Outcomes Research, Nicklaus Children's Hospital, Miami, FL.
Paula S EspinalPersonalized Medicine and Health Outcomes Research, Nicklaus Children's Hospital, Miami, FL.
Samuel B WeidnerCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA.
Jill L MaronWomen & Infants Hospital of Rhode Island, Care New England Health System, Providence, RI.
Tufts Medical Center · USMiami Children's Hospital · USIllumina (United States) · USWomen & Infants Hospital of Rhode Island · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to estimate the cost-effectiveness of exome sequencing (ES) and genome sequencing (GS) for children.

methodsWe modeled costs, diagnoses, and quality-adjusted life years (QALYs) for diagnostic strategies for critically ill infants (aged <1 year) and children (aged <18 years) with suspected genetic conditions: (1) standard of care (SOC) testing, (2) ES, (3) GS, (4) SOC followed by ES, (5) SOC followed by GS, (6) ES followed by GS, and (7) SOC followed by ES followed by GS. We calculated the 10-year incremental cost per additional diagnosis, and lifetime incremental cost per QALY gained, from a health care perspective.

resultsFirst-line GS costs $15,048 per diagnosis vs SOC for infants and $27,349 per diagnosis for children. If GS is unavailable, ES represents the next most efficient option compared with SOC ($15,543 per diagnosis for infants and $28,822 per diagnosis for children). Other strategies provided the same or fewer diagnoses at a higher incremental cost per diagnosis. Lifetime results depend on the patient's assumed long-term prognosis after diagnosis. For infants, GS ranged from cost-saving (vs all alternatives) to $18,877 per QALY (vs SOC). For children, GS (vs SOC) ranged from $119,705 to $490,047 per QALY.

conclusionFirst-line GS may be the most cost-effective strategy for diagnosing infants with suspected genetic conditions. For all children, GS may be cost-effective under certain assumptions. ES is nearly as efficient as GS and hence is a viable option when GS is unavailable.

Indexed as

ExomeChildChromosome MappingCost-Benefit AnalysisExome SequencingHumansInfantQuality-Adjusted Life YearsCost-effectiveness analysisExome sequencingGenomic sequencingQuality-adjusted life yearsUndiagnosed rare disease

Identifiers

PMID35396982
OpenAlexW4223460944

What OpenQuestion holds

Textmetadata
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.