ArticleLife science alliance2025
A lyophilized open-source RT-LAMP assay for molecular diagnostics in resource-limited settings.
Article in Life science alliance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Anelloviruses: From General Biology to Their Role as Biomarkers of Immune Competence in HIV Infection.Viruses · 2026Review
- Rapid and Visual Detection of Muscovy Duck Reovirus Using a Reverse Transcription Recombinase-Aided Amplification Assay in a Lyophilized Format for Point-of-Care Applications.Transboundary and emerging diseases · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
A critical bottleneck for equitable access to population-scale molecular diagnostics is the limited availability of rapid, inexpensive point-of-care tests, especially in low- and middle-income countries. Here, we developed an open-source reverse transcription loop-mediated isothermal amplification (RT-LAMP) molecular assay for pathogen detection. It is based on nonproprietary enzymes, namely, HIV-1 reverse transcriptase,
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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.