Evidence map›Paper›PMID 25775463›Full record

SynthesisPloS one2015

Clostridium difficile infection seasonality: patterns across hemispheres and continents - a systematic review.

Luis Furuya-Kanamori, Samantha J McKenzie, Laith Yakob, Justin Clark, David L Paterson, Thomas V Riley, Archie C Clements

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Pangenome-GWAS analysis ofCanadian journal of microbiology · 2026
    Article
  3. Analysis of Drug-Resistant Bacteria Seasonality in Japan Using Financial Time Series Analysis Method: A Nationwide Longitudinal Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  4. Microorganisms · 2024
    Article
  5. Infection control and hospital epidemiology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Improving Stewardship ofKansas journal of medicine · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Difference in Vitamin D Levels Between Children withPediatric gastroenterology, hepatology & nutrition · 2021
    Article
  16. Article
  17. PeerJ · 2020
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Luis Furuya-KanamoriResearch School of Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia.
Samantha J McKenzieSchool of Population Health, The University of Queensland, Herston, Queensland, Australia.
Laith YakobLondon School of Hygiene and Tropical Medicine, Department of Disease Control, London, United Kingdom.
Justin ClarkDrug ARM Australasia, Annerley, Queensland, Australia.
David L PatersonThe University of Queensland, UQ Centre for Clinical Research, Herston, Queensland, Australia.
Thomas V RileyMicrobiology & Immunology, The University of Western Australia and Department of Microbiology PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Nedlands, Western Australia, Australia.
Archie C ClementsResearch School of Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have demonstrated seasonal variability in rates of Clostridium difficile infection (CDI). Synthesising all available information on seasonality is a necessary step in identifying large-scale epidemiological patterns and elucidating underlying causes.

methodsThree medical and life sciences publication databases were searched from inception to October 2014 for longitudinal epidemiological studies written in English, Spanish or Portuguese that reported the incidence of CDI. The monthly frequency of CDI were extracted, standardized and weighted according to the number of follow-up months. Cross correlation coefficients (XCORR) were calculated to examine the correlation and lag between the year-month frequencies of reported CDI across hemispheres and continents.

resultsThe search identified 13, 5 and 2 studies from North America, Europe, and Oceania, respectively that met the inclusion criteria. CDI had a similar seasonal pattern in the Northern and Southern Hemisphere characterized by a peak in spring and lower frequencies of CDI in summer/autumn with a lag of 8 months (XCORR = 0.60) between hemispheres. There was no difference between the seasonal patterns across European and North American countries.

conclusionCDI demonstrates a distinct seasonal pattern that is consistent across North America, Europe and Oceania. Further studies are required to identify the driving factors of the observed seasonality.

Indexed as

SeasonsClostridioides difficileEnterocolitis, PseudomembranousEuropeHumansNorth AmericaOceania

Identifiers

PMID25775463
PMCPMC4361656

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.