ArticleRespiratory medicine case reports2024
Analysis of three cases with false positive PCR results of non tuberculosis mycobacterium.
Article in Respiratory medicine case reports, 2024. 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, 4 citations in OpenAlex.
- A multiplex assay based on capillary electrophoresis to detect Mycobacterium tuberculosis complex: development and clinical validation.Applied microbiology and biotechnology · 2026Article
- Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Real-time fluorescent quantitative PCR (RT-PCR) can effectively distinguish between Case presentation: The clinical manifestations of the three patients were fever and respiratory symptoms. Chest CT showed "multiple lung infections". The acid-fast bacilli were negative by microscopic examination. The results of RT-PCR detection of Conclusions: In the RT-PCR detection of mycobacteria, if there's abnormal amplification, and the mycobacterial species cannot be identified, the amplified products sequencing or MALDI- TOF mass spectrometry identification will help avoid the omission of rare pathogens.
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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.