ArticleTransboundary and emerging diseases2026
Characterization and Evolutionary Analysis of Type E4 Bovine Enterovirus From Clinical Cattle With Diarrhea in Inner Mongolia, China.
Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Characterization and Evolutionary Analysis of Type E4 Bovine Enterovirus From Clinical Cattle With Diarrhea in Inner Mongolia, China.Transboundary and emerging diseases · 2026Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Bovine enterovirus (BEV) is associated with respiratory, intestinal, and reproductive disorders in cattle, but its evolutionary characteristics and pathogenic potential remain insufficiently understood. In this study, a BEV strain was successfully isolated from a diarrheic fecal sample collected from an 8-month-old Holstein calf and was designated BEV NM2407. The virus replicated stably in Madin-Darby bovine kidney (MDBK) cells, reaching a titer of 10
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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.