Evidence map›Paper›PMID 27648884›Full record

ArticleEmerging infectious diseases2016

Community- and Healthcare-Associated Clostridium difficile Infections, Finland, 2008-2013

Saara M Kotila, Silja Mentula, Jukka Ollgren, Anni Virolainen-Julkunen, Outi Lyytikäinen

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Epidemiologic profile of community-acquiredEpidemiology and infection · 2025
    Pooled it
  2. Article
  3. Article
  4. The Global Burden ofInfectious disease reports · 2025
    Review
  5. Article
  6. Journal of clinical medicine · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Gastroenterology report · 2018
    Review
  11. Observational
  12. Article
  13. Treatment ofAnnals of medicine
    Review
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

5 authors.

Saara M Kotila
Silja Mentula
Jukka Ollgren
Anni Virolainen-Julkunen
Outi Lyytikäinen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated incidence, case-fatality rate, and trends of community-associated (CA) and healthcare-associated (HA) Clostridium difficile infections (CDIs) in Finland during 2008-2013. CDIs were identified in the National Infectious Disease Register, deaths in the National Population Information System, hospitalizations to classify infections as CA or HA in the National Hospital Discharge Register, and genotypes in a reference laboratory. A total of 32,991 CDIs were identified: 10,643 (32.3%) were CA (32.9 cases/100,000 population) and 22,348 (67.7%) HA (69.1/100,000). Overall annual incidence decreased from 118.7/100,000 in 2008 to 92.1/100,000 in 2013, which was caused by reduction in HA-CDI rates (average annual decrease 8.1%; p<0.001). The 30-day case-fatality rate was lower for CA-CDIs than for HA-CDIs (3.2% vs. 13.3%; p<0.001). PCR ribotypes 027 and 001 were more common in HA-CDIs than in CA-CDIs. Although the HA-CDI incidence rate decreased, which was probably caused by increased awareness and improved infection control, the CA-CDI rate increased.

Indexed as

Clostridioides difficileAdolescentAdultAgedAged, 80 and overChildChild, PreschoolClostridium InfectionsCommunity-Acquired InfectionsCross InfectionFemaleFinlandHumansIncidenceInfantMalebacteriacase-fatality rateCDIsClostridium difficilecommunity-associated infectionsFinlandhealthcare-associated infectionsincidencePCR ribotypespopulation-based study

Identifiers

PMID27648884
PMCPMC5038409

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.