ReviewScience advances2023
The critical role of engineering in the rapid development of COVID-19 diagnostics: Lessons from the RADx Tech Test Verification Core.
Review in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Proteomics in the Diagnosis of Viral and Pathogenic Infections.Advances in experimental medicine and biology · 2026Review
- A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub.JMIR public health and surveillance · 2025Article
- Saliva Has High Sensitivity and Specificity for Detecting SARS-CoV-2 Compared to Nasal Swabs but Exhibits Different Viral Dynamics from Days of Symptom Onset.Diagnostics (Basel, Switzerland) · 2025Article
- Biomedical engineering and interdisciplinary research in shaping tomorrow's medicine.iScience · 2025Article
- Sample preparation and detection methods in point-of-care devices towards future at-home testing.Lab on a chip · 2024Review
- Accelerated Development of a COVID-19 Lateral Flow Test in an Academic Setting: Lessons Learned.Accounts of chemical research · 2024Article
- Evaluation of the analytical performance of the 15-minute point-of-care DASH™ SARS-CoV-2 RT-qPCR test.Diagnostic microbiology and infectious disease · 2024Article
- A capacitive laser-induced graphene based aptasensor for SARS-CoV-2 detection in human saliva.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Engineering plays a critical role in the development of medical devices, and this has been magnified since 2020 as severe acute respiratory syndrome coronavirus 2 swept over the globe. In response to the coronavirus disease 2019, the National Institutes of Health launched the Rapid Acceleration of Diagnostics (RADx) initiative to help meet the testing needs of the United States and effectively manage the pandemic. As the Engineering and Human Factors team for the RADx Tech Test Verification Core, we directly assessed more than 30 technologies that ultimately contributed to an increase of the country's total testing capacity by 1.7 billion tests to date. In this review, we present central lessons learned from this "apples-to-apples" comparison of novel, rapidly developed diagnostic devices. Overall, the evaluation framework and lessons learned presented in this review may serve as a blueprint for engineers developing point-of-care diagnostics, leaving us better prepared to respond to the next global public health crisis rapidly and effectively.
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What OpenQuestion holds
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.