Evidence map›Paper›PMID 35227606›Full record

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

Cost-effectiveness of population-wide genomic screening for Lynch syndrome in the United States.

Gregory F Guzauskas, Shangqing Jiang, Shawn Garbett, Zilu Zhou, Scott J Spencer, Susan R Snyder, John A Graves, Marc S Williams, Jing Hao, Josh F Peterson and 1 more

Open access · greenAbstract read
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. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  11. A Focused Clinical Review of Lynch Syndrome.Cancer management and research · 2023
    Review
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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

11 authors at 4 institutions in 1 country.

Gregory F GuzauskasThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA.
Shangqing JiangThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA.
Shawn GarbettDepartment of Biostatistics, Vanderbilt School of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Zilu ZhouDepartment of Health Policy, Vanderbilt School of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Scott J SpencerInstitute for Public Health Genetics, University of Washington School of Public Health, Seattle, WA.
Susan R SnyderDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA.
John A GravesDepartment of Health Policy, Vanderbilt School of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, PA.
Jing HaoGenomic Medicine Institute, Geisinger, Danville, PA; Department of Population Health Sciences, Geisinger, Danville, PA.
Josh F PetersonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
David L VeenstraThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA; Institute for Public Health Genetics, University of Washington School of Public Health, Seattle, WA. Electronic address: veenstra@uw.edu.
University of Washington · USVanderbilt University Medical Center · USGeisinger Neuroscience Institute · USGeorgia State University · US

Funding

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 HG009694
6 · The paper itself

Abstract

purposeGenomic screening for Lynch syndrome (LS) could prevent colorectal cancer (CRC) by identifying high-risk patients and instituting intensive CRC screening. We estimated the cost-effectiveness of a population-wide LS genomic screening vs family history-based screening alone in an unselected US population.

methodsWe developed a decision-analytic Markov model including health states for precancer, stage-specific CRC, and death and assumed an inexpensive test cost of $200. We conducted sensitivity and threshold analyses to evaluate model uncertainty.

resultsScreening unselected 30-year-olds for LS variants resulted in 48 (95% credible range [CR] = 35-63) fewer overall CRC cases per 100,000 screened individuals, leading to 187 quality-adjusted life-years (QALYs; 95% CR = 123-260) gained at an incremental cost of $24.6 million (95% CR = $20.3 million-$29.1 million). The incremental cost-effectiveness ratio was $132,200, with an 8% and 71% probability of being cost-effective at $100,000 and $150,000 per QALY willingness-to-pay thresholds, respectively.

conclusionPopulation LS screening may be cost-effective in younger patient populations under a $150,000 willingness-to-pay per QALY threshold and with a relatively inexpensive test cost. Further reductions in testing costs and/or the inclusion of LS testing within a broader multiplex screening panel are needed for screening to become highly cost-effective.

Indexed as

Colorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisCost-Benefit AnalysisGenomicsHumansQuality-Adjusted Life YearsUnited StatesColorectal cancerCost-effectiveness analysisLynch syndromePopulation screening

Identifiers

PMID35227606
PMCPMC9673900
OpenAlexW4214726928

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.