Evidence map›Paper›PMID 29719718›Full record

SynthesisAntimicrobial resistance and infection control2018

A systematic review of the epidemiology of carbapenem-resistant Enterobacteriaceae in the United States.

Daniel J Livorsi, Margaret L Chorazy, Marin L Schweizer, Erin C Balkenende, Amy E Blevins, Rajeshwari Nair, Matthew H Samore, Richard E Nelson, Karim Khader, Eli N Perencevich

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Antimicrobial resistance and infection control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Epidemiology of carbapenem-resistant organisms in Alameda County, California, 2019-2021.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  13. Skin secretions of Leptodactylidae (Anura) and their potential applications.The journal of venomous animals and toxins including tropical diseases · 2024
    Review
  14. Epidemiological Characteristics of Carbapenem-ResistantPathogens (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Transmission of Carbapenem-Resistant Klebsiella pneumoniae in US Hospitals.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  19. Article
  20. Article
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

10 authors at 3 institutions in 1 country.

Daniel J Livorsi *1Center for Comprehensive Access Delivery & Research, Iowa City VA Health Care System, Iowa City, USA.ORCID 0000-0001-8523-214X
Margaret L Chorazy *3University of Iowa College of Public Health, Iowa City, USA.
Marin L Schweizer1Center for Comprehensive Access Delivery & Research, Iowa City VA Health Care System, Iowa City, USA.
Erin C Balkenende1Center for Comprehensive Access Delivery & Research, Iowa City VA Health Care System, Iowa City, USA.
Amy E Blevins4Hardin Library for the Health Sciences, University of Iowa, Iowa City, USA.
Rajeshwari Nair1Center for Comprehensive Access Delivery & Research, Iowa City VA Health Care System, Iowa City, USA.
Matthew H SamoreVeterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah USA.
Richard E NelsonVeterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah USA.
Karim KhaderVeterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah USA.
Eli N Perencevich1Center for Comprehensive Access Delivery & Research, Iowa City VA Health Care System, Iowa City, USA.
University of Iowa · USUniversity of Utah · USIowa City VA Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carbapenem-resistant Enterobacteriaceae (CRE) pose an urgent public health threat in the United States. An important step in planning and monitoring a national response to CRE is understanding its epidemiology and associated outcomes. We conducted a systematic literature review of studies that investigated incidence and outcomes of CRE infection in the US. Methods: We performed searches in MEDLINE via Ovid, CDSR, DARE, CENTRAL, NHS EED, Scopus, and Web of Science for articles published from 1/1/2000 to 2/1/2016 about the incidence and outcomes of CRE at US sites. Results: Five studies evaluated incidence, but many used differing definitions for cases. Across the entire US population, the reported incidence of CRE was 0.3-2.93 infections per 100,000 person-years. Infection rates were highest in long-term acute-care (LTAC) hospitals. There was insufficient data to assess trends in infection rates over time. Four studies evaluated outcomes. Mortality was higher in CRE patients in some but not all studies. Conclusion: While the incidence of CRE infections in the United States remains low on a national level, the incidence is highest in LTACs. Studies assessing outcomes in CRE-infected patients are limited in number, small in size, and have reached conflicting results. Future research should measure a variety of clinical outcomes and adequately adjust for confounders to better assess the full burden of CRE.

Indexed as

Anti-Bacterial AgentsCarbapenem-Resistant EnterobacteriaceaeCarbapenemsCross InfectionEnterobacteriaceae InfectionsHospitalsHumansIncidenceLong-Term CareUnited StatesAnti-Bacterial AgentsCarbapenemsCarbapenem-resistant EnterobacteriaceaeEpidemiologyUnited States

Identifiers

PMID29719718
PMCPMC5926528
OpenAlexW2807513944

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.