About: Sex differences in campylobacteriosis incidence rates at different ages - a seven country, multi-year, meta-analysis. A potential mechanism for the infection

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About: Sex differences in campylobacteriosis incidence rates at different ages - a seven country, multi-year, meta-analysis. A potential mechanism for the infection Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Sex differences in campylobacteriosis incidence rates at different ages - a seven country, multi-year, meta-analysis. A potential mechanism for the infection
Creator	Green, Manfred Peer, Victoria Schwartz, Naama
Source	PMC
abstract	BACKGROUND: There is evidence that males have higher incidence rates (IR) of campylobacteriois than females. The objectives of this study were to determine whether these observations differ between age groups and are consistent over different countries and during different time periods. METHODS: We obtained data on IRs of campylobacteriosis by sex and age group over a period of 11–26 years from seven countries. Male to female incidence rate ratios (IRR) were computed by age group, country and time period. For each age group, we used meta-analytic methods to combine the IRRs. Sensitivity analysis was used to test whether the results are robust to differences between countries and time periods. Meta-regression was conducted to estimate the different effects of age, country, and time period on the IRR. RESULTS: In the age groups < 1, 1–4, 5–9, 10–14, 15–44, 45–64 and 65+ years old, the pooled IRRs (with 95% CI) were 1.31 (1.26–1.37), 1.34 (1.31–1.37), 1.35 (1.32–1.38), 1.73 (1.68–1.79), 1.10 (1.08–1.12), 1.19(1.17–1.21) and 1.27 (1.24–1.30), respectively. For each age group, the excess campylobacteriosis IRs in males differed at different age groups. However, despite some quantitative differences between countries, the excess was consistently present over long time-periods. In meta-regression analysis, age group was responsible for almost all the variation in the IRRs. CONCLUSIONS: The male predominance in campylobacteriosis IRs starts in infancy. This suggests that this is due, at least in part, to physiological or genetic differences and not just behavioural factors. These findings can provide clues to the mechanisms of the infection and could lead to more targeted treatments and vaccine development.
has issue date	2020-08-25(xsd:dateTime)
bibo:doi	10.1186/s12879-020-05351-6
has license	cc-by
sha1sum (hex)	6342370ab2407c7427434cb9a6c699ad22d94b1d
schema:url	https://doi.org/10.1186/s12879-020-05351-6
resource representing a document's title	Sex differences in campylobacteriosis incidence rates at different ages - a seven country, multi-year, meta-analysis. A potential mechanism for the infection
has PubMed Central identifier	PMC7445732
schema:publication	BMC Infect Dis
resource representing a document's body	covid:6342370ab2407c7427434cb9a6c699ad22d94b1d#body_text
is schema:about of	named entity 'incidence' named entity 'sex' named entity 'infection' named entity 'These' named entity 'development' named entity 'For' named entity 'OBSERVATIONS' named entity 'SEX' named entity 'EFFECTS' named entity 'LONG' named entity 'REGRESSION' named entity 'REGRESSION ANALYSIS' named entity 'THESE' named entity 'ALMOST ALL' named entity 'JUST' covid:arg/6342370ab2407c7427434cb9a6c699ad22d94b1d named entity 'IRs' named entity 'time' named entity 'time' named entity 'ratios' named entity 'observations' named entity 'long' named entity 'meta-analytic' named entity 'targeted treatments' named entity 'time' named entity 'IRs' named entity 'combine' named entity '26 years' named entity 'females' named entity 'group' named entity 'targeted treatments' named entity 'Meta-regression' named entity '95% CI' named entity 'long time' named entity 'campylobacteriosis' named entity 'incidence rates' named entity 'multi-year' named entity 'incidence rates' named entity 'infection' named entity 'New Zealand' named entity 'Australia' named entity 'immune response' named entity 'food-borne' named entity 'campylobacteriosis' named entity 'non-sporeforming' named entity 'immune response' named entity 'Australian Bureau of Statistics' named entity 'infectious diseases' named entity 'Spain' named entity 'incidence rates' named entity 'random effects model' named entity 'infectious diseases' named entity 'intestinal epithelial cells' named entity 'immune responses' named entity 'colon' named entity 'campylobacteriosis' named entity 'incidence rates' named entity 'Finland' named entity 'regression analyses' named entity 'heterogeneity' named entity 'Campylobacter' named entity 'immune cells' named entity 'forest plot' named entity 'Campylobacteriosis' named entity 'dendritic cells' named entity 'campylobacteriosis' named entity 'campylobacteriosis' named entity 'subclinical' named entity 'puberty' named entity 'sex hormones' named entity 'Epidemiological Surveillance' named entity 'older age' named entity 'Toll-like receptor' named entity 'hormonal factors' named entity 'campylobacteriosis' named entity 'forest plot' named entity 'Germany' named entity 'innate immune' named entity 'Statistics New Zealand' named entity 'meta-analyses' named entity 'heterogeneity'

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