Evidence map›Paper›PMID 31822302›Full record

ArticleInfection control and hospital epidemiology2020

Screening of

Sarah W Baron, Belinda E Ostrowsky, Priya Nori, David Y Drory, Michael H Levi, Wendy A Szymczak, Michael L Rinke, William N Southern

Open access · greenAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

22 citing papers in PubMed, 21 citations in OpenAlex.

  1. Risk factors for progression fromInfection control and hospital epidemiology · 2026
    Article
  2. Comparative genomic analysis ofMicrobial genomics · 2026
    Article
  3. Gut microbes · 2025
    Article
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  5. Article
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  8. Article
  9. Impact of empiric antibiotics on risk ofAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  10. Emerging Diagnostics inInternational journal of molecular sciences · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. A novel approach to correcting attribution ofAntimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  16. Article
  17. Canadian journal of gastroenterology & hepatology · 2022
    Review
  18. Comparative genomic and transmission analysis ofEmerging microbes & infections · 2021
    Article
  19. Observational
  20. Treatment issues in recurrentFEMS microbes · 2020
    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

8 authors at 1 institution in 1 country.

Sarah W BaronDivision of Hospital Medicine, Department of Medicine, Montefiore Medical Center, Bronx, New York.ORCID 0000-0002-5714-3139
Belinda E OstrowskyDivision of Infectious Disease, Department of Medicine, Montefiore Medical Center, Bronx, New York.
Priya NoriDivision of Infectious Disease, Department of Medicine, Montefiore Medical Center, Bronx, New York.
David Y DroryAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Michael H LeviDepartment of Pathology, Montefiore Medical Center, Bronx, New York.
Wendy A SzymczakDepartment of Pathology, Montefiore Medical Center, Bronx, New York.
Michael L RinkeDivision of Pediatric Hospital Medicine, Department of Pediatrics, Children's Hospital at Montefiore, Bronx, New York.
William N SouthernDivision of Hospital Medicine, Department of Medicine, Montefiore Medical Center, Bronx, New York.
Albert Einstein College of Medicine · US

Funding

Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
NCATS NIH HHS UL1 TR001073
6 · The paper itself

Abstract

objectiveEfforts to reduce Clostridioides difficile infection (CDI) have targeted transmission from patients with symptomatic C. difficile. However, many patients with the C. difficile organism are carriers without symptoms who may serve as reservoirs for spread of infection and may be at risk for progression to symptomatic C. difficile. To estimate the prevalence of C. difficile carriage and determine the risk and speed of progression to symptomatic C. difficile among carriers, we established a pilot screening program in a large urban hospital.

designProspective cohort study.

settingAn 800-bed, tertiary-care, academic medical center in the Bronx, New York.

participantsA sample of admitted adults without diarrhea, with oversampling of nursing facility patients.

methodsPerirectal swabs were tested by polymerase chain reaction for C. difficile within 24 hours of admission, and patients were followed for progression to symptomatic C. difficile. Development of symptomatic C. difficile was compared among C. difficile carriers and noncarriers using a Cox proportional hazards model.

resultsOf the 220 subjects, 21 (9.6%) were C. difficile carriers, including 10.2% of the nursing facility residents and 7.7% of the community residents (P = .60). Among the 21 C. difficile carriers, 8 (38.1%) progressed to symptomatic C. difficile, but only 4 (2.0%) of the 199 noncarriers progressed to symptomatic C. difficile (hazard ratio, 23.9; 95% CI, 7.2-79.6; P < .0001).

conclusionsAsymptomatic carriage of C. difficile is prevalent among admitted patients and confers a significant risk of progression to symptomatic CDI. Screening for asymptomatic carriers may represent an opportunity to reduce CDI.

Indexed as

Academic Medical CentersAdultAgedAged, 80 and overCarrier StateClostridioides difficileClostridium InfectionsFecesFemaleHospitalizationHumansKaplan-Meier EstimateMaleMiddle AgedNew YorkPolymerase Chain Reaction

Identifiers

PMID31822302
PMCPMC7702293
OpenAlexW2996503066

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.