Evidence map›Paper›PMID 33683930›Full record

ArticleAnnals of internal medicine2021

Clinical and Economic Effects of Widespread Rapid Testing to Decrease SARS-CoV-2 Transmission.

A David Paltiel, Amy Zheng, Paul E Sax

Abstract read
In one paragraph

Article in Annals of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Investigation of the diagnostic performance of the SARS-CoV-2 saliva antigen test: A meta-analysis.Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · 2022
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  5. Cost-Effectiveness of COVID-19 Policy Measures: A Systematic Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
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  12. In Support of Universal Admission Testing for SARS-CoV-2 During Significant Community Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

A David PaltielPublic Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut (A.D.P.).ORCID 0000-0002-4861-3290
Amy ZhengHarvard Medical School, Boston, Massachusetts (A.Z.).
Paul E SaxBrigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (P.E.S.).

Funding

Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
NIAID NIH HHS R01 AI042006NIDA NIH HHS R37 DA015612
6 · The paper itself

Abstract

backgroundThe value of frequent, rapid testing to reduce community transmission of SARS-CoV-2 is poorly understood.

objectiveTo define performance standards and predict the clinical, epidemiologic, and economic outcomes of nationwide, home-based antigen testing.

designA simple compartmental epidemic model that estimated viral transmission, portrayed disease progression, and forecast resource use, with and without testing. DATA SOURCES: Parameter values and ranges as informed by Centers for Disease Control and Prevention guidance and published literature. TARGET POPULATION: U.S. population. TIME HORIZON: 60 days. PERSPECTIVE: Societal; costs included testing, inpatient care, and lost workdays.

interventionHome-based SARS-CoV-2 antigen testing. OUTCOME MEASURES: Cumulative infections and deaths, number of persons isolated and hospitalized, and total costs. RESULTS OF BASE-CASE ANALYSIS: Without a testing intervention, the model anticipates 11.6 million infections, 119 000 deaths, and $10.1 billion in costs ($6.5 billion in inpatient care and $3.5 billion in lost productivity) over a 60-day horizon. Weekly availability of testing would avert 2.8 million infections and 15 700 deaths, increasing costs by $22.3 billion. Lower inpatient outlays ($5.9 billion) would partially offset additional testing expenditures ($12.5 billion) and workdays lost ($14.0 billion), yielding incremental cost-effectiveness ratios of $7890 per infection averted and $1 430 000 per death averted. RESULTS OF SENSITIVITY ANALYSIS: Outcome estimates vary widely under different behavioral assumptions and testing frequencies. However, key findings persist across all scenarios, with large reductions in infections, mortality, and hospitalizations. Costs per death averted are roughly an order of magnitude lower than commonly accepted willingness-to-pay values per statistical life saved ($5 to $17 million). LIMITATIONS: Analysis was restricted to at-home testing. There are uncertainties concerning test performance.

conclusionHigh-frequency home testing for SARS-CoV-2 with an inexpensive, imperfect test could contribute to pandemic control at justifiable cost and warrants consideration as part of a national containment strategy. PRIMARY FUNDING SOURCE: National Institutes of Health.

Indexed as

Cost-Benefit AnalysisCOVID-19COVID-19 TestingDisease ProgressionFemaleHome Care ServicesHumansMaleMass ScreeningPandemicsPneumonia, ViralSARS-CoV-2Sick LeaveUnited States

Identifiers

PMID33683930
PMCPMC9317280

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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.