Evidence map›Paper›PMID 30205907›Full record

ArticleAmerican journal of infection control2019

Predictors of Clostridium difficile infection and predictive impact of probiotic use in a diverse hospital-wide cohort.

Martha L Carvour, Shane L Wilder, Keenan L Ryan, Carla Walraven, Fares Qeadan, Meghan Brett, Kimberly Page

Open access · bronzeAbstract read
In one paragraph

Article in American journal of infection control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Antibiotic-perturbed microbiota and the role of probiotics.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Our Microbiome: On the Challenges, Promises, and Hype.Results and problems in cell differentiation · 2020
    Article
  12. 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

7 authors at 2 institutions in 1 country.

Martha L CarvourDivision of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM; Division of Infectious Diseases, Department of Internal Medicine, University of New Mexico, Albuquerque, NM. Electronic address: MCarvour@salud.unm.edu.
Shane L WilderUniversity of New Mexico School of Medicine, Albuquerque, NM.
Keenan L RyanDepartment of Pharmacy, University of New Mexico Hospital, Albuquerque, NM.
Carla WalravenDepartment of Pharmacy, University of New Mexico Hospital, Albuquerque, NM.
Fares QeadanDivision of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
Meghan BrettDivision of Infectious Diseases, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
Kimberly PageDivision of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
University of New Mexico · USUniversity of New Mexico Hospital · US

Funding

UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
NCATS NIH HHS UL1 TR001449
6 · The paper itself

Abstract

backgroundHospital-based predictive models for Clostridium difficile infection (CDI) may aid with surveillance efforts.

methodsA retrospective cohort of adult hospitalized patients who were tested for CDI between May 1, 2011, and August 31, 2016, was formed. Proposed clinical and sociodemographic predictors of CDI were evaluated using multivariable predictive logistic regression modeling.

resultsIn a cohort of 5,209 patients, including 1,092 CDI cases, emergency department location (adjusted odds ratio [aOR], 1.91; 95% confidence interval [CI], 1.51, 2.41; compared with an intensive care unit reference category, which had the lowest observed odds in the study) and prior exposure to a statin (aOR, 1.26, 95% CI, 1.06, 1.51), probiotic (aOR, 1.39; 95% CI, 1.08, 1.80), or high-risk antibiotic (aOR, 1.54; 95% CI, 1.29, 1.84), such as a cephalosporin, a quinolone, or clindamycin, were independent predictors of CDI. Probiotic use did not appear to attenuate the odds of CDI in patients exposed to high-risk antibiotics, but moderate-risk antibiotics appeared to significantly attenuate the odds of CDI in patients who received probiotics.

conclusionsEmergency department location, high-risk antibiotics, probiotics, and statins were independently predictive of CDI. Further exploration of the relationship between probiotics and CDI, especially in diverse patient populations, is warranted.

Indexed as

Clinical Decision RulesAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsClostridium InfectionsCross InfectionEnvironmental ExposureFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedProbioticsRetrospective StudiesAnti-Bacterial AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsClostridium difficileHealth care–associated infectionHospital epidemiologyProbiotics

Identifiers

PMID30205907
PMCPMC6321775
OpenAlexW2889896385

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.