ArticleJournal of Zhejiang University. Science. B
Risk factors and drug resistance in early-onset neonatal group B streptococcal disease.
Article in Journal of Zhejiang University. Science. B. 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
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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.
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Who cites it
1 citing paper in PubMed, 6 citations in OpenAlex.
- Gut microbiome analysis as a predictive marker for the gastric cancer patients.Applied microbiology and biotechnology · 2021Article
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12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, group B streptococcus (GBS) has become an important pathogen that causes infections in many neonatal organs, including the brain, lung, and eye (Ballard et al., 2016). A series of studies performed on GBS infections in western countries have revealed that GBS is one of the primary pathogens implicated in perinatal infection, and GBS infections are a major cause of neonatal morbidity and mortality in the United States (Decheva et al., 2013). In China, GBS is mainly found by screens for adult urogenital tract and perinatal infections, and neonatal GBS infections have been rarely reported. The incidence rate of early-onset neonatal GBS disease is thought to be lower in China than in western countries; however, this data is controversial since it also reflects the clinical interest in GBS (Dabrowska-Szponar and Galinski, 2001).
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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.