ArticleFrontiers in veterinary science2025
Article in Frontiers in veterinary science, 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Research on Methods: Researchers collected eight lung tissue samples from working dogs exhibiting typical respiratory symptoms in Kunming City, Yunnan Province. From these samples, one strain of canine mycoplasma was successfully isolated. To characterize this isolate comprehensively, a series of technical approaches were employed. The growth dynamics of the mycoplasma strain were assessed by monitoring color changes in the culture medium. Molecular identification was conducted using polymerase chain reaction (PCR). Additionally, preliminary studies were undertaken regarding its biological characteristics and the development of an inactivated vaccine; these efforts provide both theoretical foundations and experimental support for future investigations into the pathogenic mechanisms and vaccine development for Results: The findings indicated that Conclusion: This study successfully isolated and identified
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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.