SynthesisPloS one2013
Parameters for the mathematical modelling of Clostridium difficile acquisition and transmission: a systematic review.
Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Infection Prevention and Control Strategies According to the Type of Multidrug-Resistant Bacteria andAntibiotics (Basel, Switzerland) · 2024Review
- Environmental DNA detects Spawning Habitat of an ephemeral migrant fish (Anadromous Rainbow Smelt: Osmerus mordax).BMC ecology and evolution · 2022Article
- Modelling Excess Mortality in Covid-19-Like Epidemics.Entropy (Basel, Switzerland) · 2020Article
- Modeling Clostridium difficile in a hospital setting: control and admissions of colonized and symptomatic patients.Theoretical biology & medical modelling · 2019Article
- Modelling diverse sources of Clostridium difficile in the community: importance of animals, infants and asymptomatic carriers.Epidemiology and infection · 2019Article
- Post-hospitalization Treatment Regimen and Readmission for C. difficile Colitis in Medicare Beneficiaries.World journal of surgery · 2018Article
- Mechanisms of hypervirulent Clostridium difficile ribotype 027 displacement of endemic strains: an epidemiological model.Scientific reports · 2015Article
- Article
- Antibiotic consumption and antibiotic stewardship in Swedish hospitals.Upsala journal of medical sciences · 2014Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMathematical modelling of Clostridium difficile infection dynamics could contribute to the optimisation of strategies for its prevention and control. The objective of this systematic review was to summarise the available literature specifically identifying the quantitative parameters required for a compartmental mathematical model of Clostridium difficile transmission.
methodsSix electronic healthcare databases were searched and all screening, data extraction and study quality assessments were undertaken in duplicate. Results were synthesised using a narrative approach.
resultsFifty-four studies met the inclusion criteria. Reproduction numbers for hospital based epidemics were described in two studies with a range from 0.55 to 7. Two studies provided consistent data on incubation periods. For 62% of cases, symptoms occurred in less than 4 weeks (3-28 days) after infection. Evidence on contact patterns was identified in four studies but with limited data reported for populating a mathematical model. Two studies, including one without clinically apparent donor-recipient pairs, provided information on serial intervals for household or ward contacts, showing transmission intervals of <1 week in ward based contacts compared to up to 2 months for household contacts. Eight studies reported recovery rates of between 75%-100% for patients who had been treated with either metronidazole or vancomycin. Forty-nine studies gave recurrence rates of between 3% and 49% but were limited by varying definitions of recurrence. No study was found which specifically reported force of infection or net reproduction numbers.
conclusionsThere is currently scant literature overtly citing estimates of the parameters required to inform the quantitative modelling of Clostridium difficile transmission. Further high quality studies to investigate transmission parameters are required, including through review of published epidemiological studies where these quantitative estimates may not have been explicitly estimated, but that nonetheless contain the relevant data to allow their calculation.
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