ArticleMethodsX2025
Optimized protocol for direct extraction of SARS-CoV-2 RNA from raw wastewater samples (ANRS 0160).
Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate whether a nucleic acid extraction protocol specifically designed for raw wastewater (WW) provides a measurable advantage over protocols not originally intended for WW matrices. Three laboratories have independently compared two RNA extraction protocols, using paired WW samples. A common WW-designed protocol (Z), based on silica columns was tested across all labs. As comparators, three non-WW designed protocols were used: NS1 and NS2 both silica beads-based, with NS2 including an additional phenol-chloroform step; and SB a homemade protocol using also silica beads but differing in its formulation. As different samples were used across labs, direct statistical comparison was difficult; instead, paired comparisons within each lab were used to rank SARS-CoV-2 RNA detection and RT-qPCR inhibitor removal. NS1 yielded significantly higher SARS-CoV-2 RNA concentrations than Z (Logrank test,
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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.