Evidence map›Paper›PMID 33767345›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

Universal newborn genetic screening for pediatric cancer predisposition syndromes: model-based insights.

Jennifer M Yeh, Natasha K Stout, Aeysha Chaudhry, Kurt D Christensen, Michael Gooch, Pamela M McMahon, Grace O'Brien, Narmeen Rehman, Carrie L Blout Zawatsky, Robert C Green and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  15. Genomic newborn screening for rare diseases.Nature reviews. Genetics · 2023
    Review
  16. Article
  17. Benefits, harms, and costs of newborn genetic screening for hypertrophic cardiomyopathy: Estimates from the PreEMPT model.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
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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

15 authors at 4 institutions in 1 country.

Jennifer M YehHarvard Medical School, Boston, MA, USA. jennifer.yeh@childrens.harvard.edu.ORCID 0000-0002-2724-7404
Natasha K StoutHarvard Medical School, Boston, MA, USA.
Aeysha ChaudhryBoston Children's Hospital, Boston, MA, USA.
Kurt D ChristensenHarvard Medical School, Boston, MA, USA.
Michael GoochHarvard Pilgrim Health Care Institute, Boston, MA, USA.
Pamela M McMahonHarvard Pilgrim Health Care Institute, Boston, MA, USA.
Grace O'BrienBoston Children's Hospital, Boston, MA, USA.
Narmeen RehmanHarvard Pilgrim Health Care Institute, Boston, MA, USA.
Carrie L Blout ZawatskyBrigham and Women's Hospital and Broad Institute, Boston, MA, USA.
Robert C GreenHarvard Medical School, Boston, MA, USA.
Christine Y LuHarvard Medical School, Boston, MA, USA.
Heidi L RehmHarvard Medical School, Boston, MA, USA.
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Lisa Diller *Harvard Medical School, Boston, MA, USA.
Ann Chen Wu *Harvard Medical School, Boston, MA, USA.
Harvard University · USBoston Children's Hospital · USHarvard Pilgrim Health Care · USBroad Institute · US

Funding

Precision Medicine Policy and Treatment (PreEMPT) Model IIR01HD090019 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Kurt Derek Christensen · 2017 to 2026
$5.7M
Cost-effectiveness of Whole Genome Sequencing of Healthy AdultsK01HG009173 · NHGRI · HARVARD PILGRIM HEALTH CARE, INC. · PI CHRISTENSEN, KURT DEREK · 2016 to 2020
$626k
NHGRI NIH HHS K01 HG009173NICHD NIH HHS R01 HD090019
6 · The paper itself

Abstract

purposeGenetic testing for pediatric cancer predisposition syndromes (CPS) could augment newborn screening programs, but with uncertain benefits and costs.

methodsWe developed a simulation model to evaluate universal screening for a CPS panel. Cohorts of US newborns were simulated under universal screening versus usual care. Using data from clinical studies, ClinVar, and gnomAD, the presence of pathogenic/likely pathogenic (P/LP) variants in RET, RB1, TP53, DICER1, SUFU, PTCH1, SMARCB1, WT1, APC, ALK, and PHOX2B were assigned at birth. Newborns with identified variants underwent guideline surveillance. Survival benefit was modeled via reductions in advanced disease, cancer deaths, and treatment-related late mortality, assuming 100% adherence.

resultsAmong 3.7 million newborns, under usual care, 1,803 developed a CPS malignancy before age 20. With universal screening, 13.3% were identified at birth as at-risk due to P/LP variant detection and underwent surveillance, resulting in a 53.5% decrease in cancer deaths in P/LP heterozygotes and a 7.8% decrease among the entire cohort before age 20. Given a test cost of $55, universal screening cost $244,860 per life-year gained; with a $20 test, the cost fell to $99,430 per life-year gained.

conclusionPopulation-based genetic testing of newborns may reduce mortality associated with pediatric cancers and could be cost-effective as sequencing costs decline.

Indexed as

Neonatal ScreeningNeoplasmsAdultChildCost-Benefit AnalysisDEAD-box RNA HelicasesEarly Detection of CancerGenetic TestingHumansInfant, NewbornMass ScreeningRibonuclease IIISyndromeYoung AdultDEAD-box RNA HelicasesDICER1 protein, humanRibonuclease III

Identifiers

PMID33767345
PMCPMC8263476
OpenAlexW3137517403

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.