Evidence map›Paper›PMID 26944007›Full record

ArticleAmerican journal of infection control2016

Hospital Clostridium difficile infection (CDI) incidence as a risk factor for hospital-associated CDI.

Aaron C Miller, Linnea A Polgreen, Joseph E Cavanaugh, Philip M Polgreen

Open access · greenAbstract read
In one paragraph

Article in American journal of infection control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

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

  1. Pooled it
  2. The Global Burden ofInfectious disease reports · 2025
    Review
  3. Evidence of within-facility patient-patientEpidemiology and infection · 2022
    Article
  4. Reuterin disruptsGut microbes · 2020
    Article
  5. Article
  6. Article
  7. Observational
  8. Observational
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

4 authors at 2 institutions in 1 country.

Aaron C MillerDepartment of Economics and Business, Cornell College, Mount Vernon, IA.
Linnea A PolgreenDepartment of Pharmacy Practice and Science, University of Iowa, Iowa City, IA.
Joseph E CavanaughDepartment of Biostatistics, University of Iowa, Iowa City, IA.
Philip M PolgreenDepartments of Internal Medicine and Epidemiology, University of Iowa, Iowa City, IA. Electronic address: Philip-polgreen@uiowa.edu.
University of Iowa · USCornell University · US

Funding

Observational data and treatment effectiveness: which methods work best?K25HL122305 · NHLBI · UNIVERSITY OF IOWA · PI POLGREEN, LINNEA ANN · 2015 to 2018
$588k
NHLBI NIH HHS K25 HL122305
6 · The paper itself

Abstract

backgroundEnvironmental risk factors for Clostridium difficile infections (CDIs) have been described at the room or unit level but not the hospital level. To understand the environmental risk factors for CDI, we investigated the association between institutional- and individual-level CDI.

methodsWe performed a retrospective cohort study using the Healthcare Cost and Utilization Project state inpatient databases for California (2005-2011). For each patient's hospital stay, we calculated the hospital CDI incidence rate corresponding to the patient's quarter of discharge, while excluding each patient's own CDI status. Adjusting for patient and hospital characteristics, we ran a pooled logistic regression to determine individual CDI risk attributable to the hospital's CDI rate.

resultsThere were 10,329,988 patients (26,086 cases and 10,303,902 noncases) who were analyzed. We found that a percentage point increase in the CDI incidence rate a patient encountered increased the odds of CDI by a factor of 1.182.

conclusionsAs a point of comparison, a 1-percentage point increase in the CDI incidence rate that the patient encountered had roughly the same impact on their odds of acquiring CDI as a 55.8-day increase in their length of stay or a 60-year increase in age. Patients treated in hospitals with a higher CDI rate are more likely to acquire CDI.

Indexed as

AdultAgedAged, 80 and overCaliforniaClostridioides difficileClostridium InfectionsCross InfectionFemaleHospitalsHumansIncidenceLength of StayMaleMiddle AgedRetrospective StudiesRisk FactorsClostridium difficile infectionenvironmenthealth care–associated infectionrisk

Identifiers

PMID26944007
PMCPMC5040340
OpenAlexW2288732852

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.