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Reviews of "Virus Testing Optimisation Using Hadamard Pooling"

Reviewers: T Furstenau (Northern Arizona University) | πŸ“’πŸ“’πŸ“’ ◻️◻️ β€’ K Butler (Sandia National Laboratories) | πŸ“—πŸ“—πŸ“—πŸ“—β—»οΈ β€’ K Butler (Ben-Gurion University of the Negev) | πŸ“’πŸ“’πŸ“’ ◻️◻️

Published onDec 20, 2024
Reviews of "Virus Testing Optimisation Using Hadamard Pooling"
key-enterThis Pub is a Review of
Virus testing optimisation using Hadamard pooling
Virus testing optimisation using Hadamard pooling
Description

Pooled testing is an established strategy for efficient surveillance testing of infectious diseases with low-prevalence. Pooled testing works by combining clinical samples from multiple individuals into one test, where a negative result indicates the whole pool is disease free and a positive result indicates that individual testing is needed. Here we present a straightforward and simple method for pooled testing that uses the properties of Hadamard matrices to design optimal pooling strategies. We show that this method can be used to efficiently identify positive specimens in large sample sizes by simple pattern matching, without the requirement of complex algorithms. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This study did not receive any funding ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced in the present study are available upon reasonable request to the authors.

To read the original manuscript, click the link above.

Summary of Reviews: This study introduces a novel pooling method for sample testing based on the Hadamard matrix. While the reviewers acknowledged its potential to reduce waste and enhance testing efficiency, they expressed concerns about its impact on assay sensitivity. Key criticisms included the method’s inability to utilize qRT-PCR quantitative data, the high computational demands compared to existing methods, and its insufficient robustness to clustered positive samples. The reviewers requested further analysis of positivity rates to validate its advantages over other pooling strategies and noted ambiguities when multiple samples test positive. They also recommended addressing error rates from failed tests, which could result in false positives or misidentified samples. Additionally, they requested the inclusion of program codes and corrections to mislabeled figures.

Reviewer 1 (Tara F…) | πŸ“’πŸ“’πŸ“’ ◻️◻️

Reviewer 2 (Kimberly B…) | πŸ“—πŸ“—πŸ“—πŸ“—β—»οΈ

Reviewer 3 (Tomer H…) | πŸ“’πŸ“’πŸ“’ ◻️◻️

RR\ID Strength of Evidence Scale Key

πŸ“• ◻️◻️◻️◻️ = Misleading

πŸ“™πŸ“™ ◻️◻️◻️ = Not Informative

πŸ“’πŸ“’πŸ“’ ◻️◻️ = Potentially Informative

πŸ“—πŸ“—πŸ“—πŸ“—β—»οΈ = Reliable

πŸ“˜πŸ“˜πŸ“˜πŸ“˜πŸ“˜ = Strong

To read the reviews, click the links below.Β 

Comments
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Tasker APK is a great tool for automating workflows, much like how "Virus Testing Optimisation Using Hadamard Pooling" aims to streamline testing processes. The reviews of this study, conducted by Tara Furstenau (Northern Arizona University) and Kimberly Butler (Sandia National Laboratories), provide valuable insights into its proposed methodology. They acknowledged the potential of using the Hadamard matrix for sample pooling to reduce waste and improve efficiency. However, they also raised important concerns about assay sensitivity, error rates, and the ambiguity in results when multiple samples test positive. Suggestions for improvement included providing program codes, revising figure labels, and elaborating on positivity rates to better compare it to other pooling methods.

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