Evidence map›Paper›PMID 35217149›Full record

ReviewAnaerobe2022

A review of epidemiological models of Clostridioides difficile transmission and control (2009-2021).

Cristina Lanzas, Manuel Jara, Rachel Tucker, Savannah Curtis, CDC Modeling Infectious Diseases in Healthcare Program (MinD)

Open access · hybridAbstract readReview
In one paragraph

Review in Anaerobe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Systematic Design of Adenosine Analogs as Inhibitors of aJournal of medicinal chemistry · 2023
    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

5 authors at 1 institution in 1 country.

Cristina LanzasDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA. Electronic address: clanzas@ncsu.edu.
Manuel JaraDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Rachel TuckerDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Savannah CurtisDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
CDC Modeling Infectious Diseases in Healthcare Program (MinD)Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
North Carolina State University · US

Funding

NCEZID CDC HHS U01 CK000587
6 · The paper itself

Abstract

Clostridioides difficile is the leading cause of infectious diarrhea and one of the most common healthcare-acquired infections worldwide. We performed a systematic search and a bibliometric analysis of mathematical and computational models for Clostridioides difficile transmission. We identified 33 publications from 2009 to 2021. Models have underscored the importance of asymptomatic colonized patients in maintaining transmission in health-care settings. Infection control, antimicrobial stewardship, active testing, and vaccination have often been evaluated in models. Despite active testing and vaccination being not currently implemented, they are the most commonly evaluated interventions. Some aspects of C. difficile transmission, such community transmission and interventions in health-care settings other than in acute-care hospitals, remained less evaluated through modeling.

Indexed as

Clostridioides difficileClostridium InfectionsCross InfectionClostridioidesEpidemiological ModelsHumansBibliometric analysisClostridioides difficileMathematical modelTransmission

Identifiers

PMID35217149
PMCPMC13215132
OpenAlexW4213009157

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.