Evidence map›Paper›PMID 25952045›Full record

ArticleAmerican journal of infection control2015

Regional and seasonal variation in Clostridium difficile infections among hospitalized patients in the United States, 2001-2010.

Jacqueline R Argamany, Samuel L Aitken, Grace C Lee, Natalie K Boyd, Kelly R Reveles

Open access · greenAbstract read
In one paragraph

Article in American journal of infection control, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Global burden ofJournal of global health · 2019
    Pooled it
  3. Trial
  4. Article
  5. Trends and Disparities inGastroenterology research and practice · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Healthcare facility-onset, healthcare facility-associatedThe journal of spinal cord medicine · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Characterization of Clostridium difficile Strains in British Columbia, Canada: A Shift from NAP1 Majority (2008) to Novel Strain Types (2013) in One Region.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jacqueline R ArgamanyPharmacotherapy Division, College of Pharmacy, University of Texas at Austin, Austin, TX; Pharmacotherapy Education and Research Center, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Samuel L AitkenDivision of Pharmacy, University of Texas MD Anderson Cancer Center, Houston, TX.
Grace C LeePharmacotherapy Division, College of Pharmacy, University of Texas at Austin, Austin, TX; Pharmacotherapy Education and Research Center, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Natalie K BoydPharmacotherapy Division, College of Pharmacy, University of Texas at Austin, Austin, TX; Pharmacotherapy Education and Research Center, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Kelly R RevelesPharmacotherapy Division, College of Pharmacy, University of Texas at Austin, Austin, TX; Pharmacotherapy Education and Research Center, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX. Electronic address: kdaniels46@utexas.edu.
Austin College · USThe University of Texas MD Anderson Cancer Center · US

Funding

San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
NIA NIH HHS P30 AG044271
6 · The paper itself

Abstract

backgroundThis study identified national regional and seasonal variations in Clostridium difficile infection (CDI) incidence and mortality among hospitalized patients in the United States over a 10-year period.

methodsThis was a retrospective cohort study of the U.S. National Hospital Discharge Survey from 2001-2010. Eligible cases had an ICD-9-CM discharge diagnosis code for CDI (008.45). Data weights were used to derive national estimates. CDI incidence and mortality were presented descriptively. Regions were as defined by the U.S. Census Bureau. Seasons included the following: winter (December-February), spring (March-May), summer (June-August), and fall (September-November).

resultsThese data represent 2.3 million CDI discharges. Overall, CDI incidence was highest in the Northeast (8.0 CDIs/1,000 discharges) and spring (6.2 CDIs/1,000 discharges). CDI incidence was lowest in the West (4.8 CDIs/1,000 discharges) and fall (5.6 CDIs/1,000 discharges). Peak CDI incidence among children occurred in the West (1.7 CDI/1,000 discharges) and winter (1.5 CDI/1,000 discharges). Mortality among all CDI patients was highest in the Midwest (7.3%) and during the winter (7.9%).

conclusionThe region and season with the highest CDI incidence rates among patients hospitalized in U.S. hospitals were the Northeast and spring, respectively. The highest CDI mortality rates were seen in the Midwest and winter. Children exhibited different regional and seasonal CDI variations compared with adults and older adults.

Indexed as

SeasonsAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolClostridioides difficileClostridium InfectionsCohort StudiesCross InfectionDiarrheaFemaleHospitalsHumansClostridium difficileEpidemiologyMortality

Identifiers

PMID25952045
PMCPMC11339755
OpenAlexW2075163206

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.