ReviewNature reviews. Microbiology2008
Super-shedding and the link between human infection and livestock carriage of Escherichia coli O157.
Review in Nature reviews. Microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 1 of them a synthesis that pooled it.
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
155 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Molecular epidemiology of M. tuberculosis in Ethiopia: A systematic review and meta-analysis.Tuberculosis (Edinburgh, Scotland) · 2019Pooled it
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- Characterization of Ravn virus viral shedding dynamics in experimentally infected Egyptian rousette bats (Journal of virology · 2025Article
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- Opportunistic pathogens are prevalent across the culturable exogenous and endogenous microbiota of stable flies captured at a dairy facility.Veterinary research · 2025Article
- Nonculturable Escherichia coli O157 in horticultural compost: a public health concern.Access microbiology · 2025Article
- Phenotypic and genomic comparison of three human outbreak and one cattle-associated Shiga toxin-producingMicrobiology spectrum · 2024Article
- Deciphering the gastrointestinal carriage ofInfection and immunity · 2024Review
- Disease resistance and infectivity of virus susceptible and resistant common carp strains.Scientific reports · 2024Article
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- Disentangling the influence of reservoir abundance and pathogen shedding on zoonotic spillover of theFrontiers in public health · 2024Article
- Evaluation of the Xpert Carba-R assay for quantifying carbapenemase-producing bacterial load in stool samples.PloS one · 2024Article
- Untangling the role of environmental and host-related determinants for on-farm transmission of verotoxin-producingInfection ecology & epidemiology · 2024Article
- Prevalence of Shiga Toxin-ProducingAnimals : an open access journal from MDPI · 2023Article
- Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies.Epidemics · 2023Article
- Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-ProducingMicroorganisms · 2023Article
95 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Cattle that excrete more Escherichia coli O157 than others are known as super-shedders. Super-shedding has important consequences for the epidemiology of E. coli O157 in cattle--its main reservoir--and for the risk of human infection, particularly owing to environmental exposure. Ultimately, control measures targeted at super-shedders may prove to be highly effective. We currently have only a limited understanding of both the nature and the determinants of super-shedding. However, super-shedding has been observed to be associated with colonization at the terminal rectum and might also occur more often with certain pathogen phage types. More generally, epidemiological evidence suggests that super-shedding might be important in other bacterial and viral infections.
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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.