Evidence map›Paper›PMID 31150539›Full record

ArticleThe Journal of infectious diseases2020

Knowing More of the Iceberg: How Detecting a Greater Proportion of Carbapenem-Resistant Enterobacteriaceae Carriers Influences Transmission.

Sarah M Bartsch, Kim F Wong, Owen J Stokes-Cawley, James A McKinnell, Chenghua Cao, Gabrielle M Gussin, Leslie E Mueller, Diane S Kim, Loren G Miller, Susan S Huang and 1 more

Abstract readMulticenter Study
In one paragraph

Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Household Transmission of Carbapenemase-producing Enterobacterales in Ontario, Canada.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Sarah M BartschPublic Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Kim F WongCenter for Simulation and Modeling, University of Pittsburgh, Pennsylvania.
Owen J Stokes-CawleyPublic Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
James A McKinnellInfectious Disease Clinical Outcomes Research Unit, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, California.
Chenghua CaoDivision of Infectious Diseases, University of California-Irvine Health School of Medicine, Irvine, California.
Gabrielle M GussinDivision of Infectious Diseases, University of California-Irvine Health School of Medicine, Irvine, California.
Leslie E MuellerPublic Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Diane S KimDivision of Infectious Diseases, University of California-Irvine Health School of Medicine, Irvine, California.
Loren G MillerTorrance Memorial Medical Center, Torrance, California.
Susan S HuangDivision of Infectious Diseases, University of California-Irvine Health School of Medicine, Irvine, California.
Bruce Y LeePublic Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI WANG, YOUFA · 2011 to 2016
$15.9M
MIDAS Informatics Services Group (ISG)U24GM110707 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ESPINO, JESSI U, WAGNER, MICHAEL MATTHEW · 2014 to 2018
$11.6M
Regional Healthcare Ecosystem Analyst for Healthcare Associated InfectionsR01HS023317 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y · 2014 to 2014
$2.4M
AHRQ HHS R01 HS023317NICHD NIH HHS U54 HD070725NIGMS NIH HHS U24 GM110707
6 · The paper itself

Abstract

backgroundClinical testing detects a fraction of carbapenem-resistant Enterobacteriaceae (CRE) carriers. Detecting a greater proportion could lead to increased use of infection prevention and control measures but requires resources. Therefore, it is important to understand the impact of detecting increasing proportions of CRE carriers.

methodsWe used our Regional Healthcare Ecosystem Analyst-generated agent-based model of adult inpatient healthcare facilities in Orange County, California, to explore the impact that detecting greater proportions of carriers has on the spread of CRE.

resultsDetecting and placing 1 in 9 carriers on contact precautions increased the prevalence of CRE from 0% to 8.0% countywide over 10 years. Increasing the proportion of detected carriers from 1 in 9 up to 1 in 5 yielded linear reductions in transmission; at proportions >1 in 5, reductions were greater than linear. Transmission reductions did not occur for 1, 4, or 5 years, varying by facility type. With a contact precautions effectiveness of ≤70%, the detection level yielding nonlinear reductions remained unchanged; with an effectiveness of >80%, detecting only 1 in 5 carriers garnered large reductions in the number of new CRE carriers. Trends held when CRE was already present in the region.

conclusionAlthough detection of all carriers provided the most benefits for preventing new CRE carriers, if this is not feasible, it may be worthwhile to aim for detecting >1 in 5 carriers.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeCarrier StateContact TracingEnterobacteriaceae InfectionsHospitalsHumansInfection ControlNursing HomesPrevalenceburdenCREdetectionicebergunknown carriers

Identifiers

PMID31150539
PMCPMC7213567

What OpenQuestion holds

Textmetadata
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.