JMIRx Medxmed34JMIRx MedJMIRx Med2563-6316JMIR PublicationsToronto, Canadav6i1e8347610.2196/83476Peer-Review ReportPeer Review of “Real-World Performance of COVID-19 Antigen Tests: Predictive Modeling and Laboratory-Based Validation”de PuigHelenaWyss Institute for Biologically Inspired Engineering, Harvard UniversityBostonMAUnited StatesWuFuqing202561020256e834760309202503092025© Helena de Puig. Originally published in JMIRx Med (https://med.jmirx.org), 6.10.2025. 2025

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https://www.medrxiv.org/content/10.1101/2024.10.21.24315762v1https://med.jmirx.org/2025/1/e83474https://med.jmirx.org/2025/1/e68376COVID-19real-world datalimit of detection lateral flow testprobability of positive agreementlogistic regressionCOVID-19 antigen test clinical performance

This is a peer-review report for “Real-World Performance of COVID-19 Antigen Tests: Predictive Modeling and Laboratory-Based Validation.”

Round 1 Review

This is a good paper [1] that models the performance of antigen tests.

Minor Comments

It would be good to include a schematic/analysis/methods and an image of how the lateral flow assays look and how test band intensities are obtained. Was that done with ImageJ?

An interesting aspect of the paper is the comparison between trained eye versus user of lateral flow assays (Figure 5). I think that adding a paragraph about the conclusions from that figure might be good in the Discussion section.

None declared.

ReferencesBoschM GarciaD RudtnerL Real-world performance of COVID-19 antigen tests: predictive modeling and laboratory-based validationJMIRx Med20256e6837610.2196/68376