Evidence map›Paper›PMID 37155986›Full record

ArticleAnnals of internal medicine2023

Population Genomic Screening for Three Common Hereditary Conditions : A Cost-Effectiveness Analysis.

Gregory F Guzauskas, Shawn Garbett, Zilu Zhou, Jonathan S Schildcrout, John A Graves, Marc S Williams, Jing Hao, Laney K Jones, Scott J Spencer, Shangqing Jiang and 2 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Annals of internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07052266 (Feasibility of Obstetric and Cancer Universal Screening), which is not on this map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
16.8field-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.

NCT07052266 narecruitingnot on this mapstarted 2025, after this paper: background citation

Feasibility of Obstetric and Cancer Universal Screening

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2025 to 2028Enrolled550ConditionsHereditary Cancer SyndromesArmsMyRisk Hereditary Cancer Test
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

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  17. Mastering genetics for your clinic: A step-by-step guide.The Journal of allergy and clinical immunology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Gregory F GuzauskasThe CHOICE Institute, Department of Pharmacy, University of Washington, Seattle, Washington (G.F.G., S.J.).ORCID 0000-0002-9095-1672
Shawn GarbettDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee (S.G., J.S.S.).ORCID 0000-0003-4079-5621
Zilu ZhouDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee (Z.Z., J.A.G.).
Jonathan S SchildcroutDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee (S.G., J.S.S.).
John A GravesDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee (Z.Z., J.A.G.).ORCID 0000-0002-8954-8202
Marc S WilliamsDepartment of Genomic Health, Geisinger, Danville, Pennsylvania (M.S.W.).ORCID 0000-0001-6165-8701
Jing HaoDepartment of Genomic Health and Department of Population Health Sciences, Geisinger, Danville, Pennsylvania (J.H.).ORCID 0000-0001-9332-3842
Laney K JonesDepartment of Population Health Sciences and Heart Institute, Geisinger, Danville, Pennsylvania (L.K.J.).ORCID 0000-0002-6182-5634
Scott J SpencerInstitute for Public Health Genetics, University of Washington, Seattle, Washington (S.J.S.).
Shangqing JiangThe CHOICE Institute, Department of Pharmacy, University of Washington, Seattle, Washington (G.F.G., S.J.).
David L VeenstraThe CHOICE Institute, Department of Pharmacy, and Institute for Public Health Genetics, University of Washington, Seattle, Washington (D.L.V.).
Josh F PetersonDepartment of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee (J.F.P.).ORCID 0000-0002-7553-0749
Vanderbilt University Medical Center · USUniversity of Washington · USGenomic Health (United States) · US

Funding

Rational Integration of Polygenic Risk Scores (RIPS)R01HG012262 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jing Hao, Joseph F. Peterson · 2022 to 2026
$4.6M
Rational Integration of clinical SEquencing (RISE) - Administrative Supplement for Genomics in Health and Wellness MeetingR01HG009694 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HAO, JING, PETERSON, JOSEPH F. · 2017 to 2020
$3.4M
NHGRI NIH HHS R01 HG009694NHGRI NIH HHS R01 HG012262
6 · The paper itself

Abstract

backgroundThe cost-effectiveness of screening the U.S. population for Centers for Disease Control and Prevention (CDC) Tier 1 genomic conditions is unknown.

objectiveTo estimate the cost-effectiveness of simultaneous genomic screening for Lynch syndrome (LS), hereditary breast and ovarian cancer syndrome (HBOC), and familial hypercholesterolemia (FH).

designDecision analytic Markov model. DATA SOURCES: Published literature. TARGET POPULATION: Separate age-based cohorts (ages 20 to 60 years at time of screening) of racially and ethnically representative U.S. adults. TIME HORIZON: Lifetime. PERSPECTIVE: U.S. health care payer.

interventionPopulation genomic screening using clinical sequencing with a restricted panel of high-evidence genes, cascade testing of first-degree relatives, and recommended preventive interventions for identified probands. OUTCOME MEASURES: Incident breast, ovarian, and colorectal cancer cases; incident cardiovascular events; quality-adjusted survival; and costs. RESULTS OF BASE-CASE ANALYSIS: Screening 100 000 unselected 30-year-olds resulted in 101 (95% uncertainty interval [UI], 77 to 127) fewer overall cancer cases and 15 (95% UI, 4 to 28) fewer cardiovascular events and an increase of 495 quality-adjusted life-years (QALYs) (95% UI, 401 to 757) at an incremental cost of $33.9 million (95% UI, $27.0 million to $41.1 million). The incremental cost-effectiveness ratio was $68 600 per QALY gained (95% UI, $41 800 to $88 900). RESULTS OF SENSITIVITY ANALYSIS: Screening 30-, 40-, and 50-year-old cohorts was cost-effective in 99%, 88%, and 19% of probabilistic simulations, respectively, at a $100 000-per-QALY threshold. The test costs at which screening 30-, 40-, and 50-year-olds reached the $100 000-per-QALY threshold were $413, $290, and $166, respectively. Variant prevalence and adherence to preventive interventions were also highly influential parameters. LIMITATIONS: Population averages for model inputs, which were derived predominantly from European populations, vary across ancestries and health care environments.

conclusionPopulation genomic screening with a restricted panel of high-evidence genes associated with 3 CDC Tier 1 conditions is likely to be cost-effective in U.S. adults younger than 40 years if the testing cost is relatively low and probands have access to preventive interventions. PRIMARY FUNDING SOURCE: National Human Genome Research Institute.

Indexed as

Cardiovascular DiseasesHyperlipoproteinemia Type IIAdultCost-Benefit AnalysisCost-Effectiveness AnalysisHumansMass ScreeningMetagenomicsMiddle AgedQuality-Adjusted Life YearsYoung Adult

Identifiers

PMID37155986
PMCPMC11791829
OpenAlexW4375852904

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Registered trials

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.