ArticleTropical parasitology
Internal transcribed spacer region 1 as a promising target for detection of intra-specific polymorphisms for Strongyloides stercoralis.
Article in Tropical parasitology. 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, 11 citations in OpenAlex.
- Article
- Mitochondrial and ribosomal markers in the identification of nematodes of clinical and veterinary importance.Parasites & vectors · 2024Article
- From microbes to molecules.Tropical parasitologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Aim: To develop a polymerase chain reaction (PCR) to identify the intra-species variation among 13 Material & Methods: PCR assays were designed by using primers targeting Results: Intra-species single nucleotide polymorphisms (SNPs) were identified in ITS1 and in the 5.8S rRNA gene. The generated phylogram grouped the 13 isolates into dog, Orangutan and human clusters. Conclusion: This method could be used as an epidemiological tool to study strain differences in larger collections of
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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.