ArticleTrends in microbiology2018
Directly Bactericidal Anti-Escherichia coli Antibody.
Article in Trends in microbiology, 2018. 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
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
2 citing papers in PubMed.
- Monoclonal Antibodies as a Therapeutic Strategy against Multidrug-Resistant Bacterial Infections in a Post-COVID-19 Era.Life (Basel, Switzerland) · 2024Review
- Cathelicidins: Immunomodulatory Antimicrobials.Vaccines · 2018Review
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monoclonal antibodies are considered promising therapeutic alternatives to fight antibiotic-resistant bacteria. Upon binding to their targets, they either act alone (e.g., by neutralizing bacterial toxins) or in concert with the host's immune system (with complement or phagocytes). Storek et al. have described a unique, directly bactericidal antibody against Escherichia coli.
Indexed as
Identifiers
29903418What OpenQuestion holds
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.