ArticleInternational journal of nanomedicine2022
A SERS Platform for Rapid Detection of Drug Resistance of Non-
Article in International journal of nanomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Species-level identification of Nocardia spp. from clinical samples via intelligent analysis of Raman spectroscopic fingerprints.World journal of microbiology & biotechnology · 2026Article
- Rapid antifungal phenotypic detection ofFrontiers in cellular and infection microbiology · 2026Article
- Characterization, Molecular Mechanism of Prochloraz-Resistance inJournal of fungi (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Materials and Methods: Fe Results: SERS combined with OPLS-DA could well analyze the drug resistance of non- Conclusion: This approach can be utilized without causing damage to the cell wall and can be accomplished in as little as 90 minutes. It can provide timely guidance for the treatment of patients with good clinical application potential.
Indexed as
Identifiers
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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.