Evidence map›Paper›PMID 32007682›Full record

SynthesisAnaerobe2020

Clostridioides difficile ribotype 106: A systematic review of the antimicrobial susceptibility, genetics, and clinical outcomes of this common worldwide strain.

T J Carlson, D Blasingame, A J Gonzales-Luna, F Alnezary, K W Garey

Abstract readSystematic Review
In one paragraph

Synthesis in Anaerobe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Global, regional, and national burden of Clostridioides difficile infection (1990-2021) with projections to 2051: A multimodal analysis integrating machine learning (SHAP-XGBoost) and GBD 2021 data.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  3. Epidemiology ofAntibiotics (Basel, Switzerland) · 2026
    Article
  4. Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2020-2024.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
    Article
  5. Phenotypic analysis of variousApplied and environmental microbiology · 2025
    Article
  6. Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2019-2023.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025
    Article
  7. Article
  8. Article
  9. Phenotypic analysis of variousbioRxiv : the preprint server for biology · 2025
    Article
  10. High genetic similarity betweenFrontiers in public health · 2025
    Article
  11. Article
  12. Epidemiology ofAntimicrobial agents and chemotherapy · 2024
    Article
  13. Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2018-2022.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    Article
  14. Insights into the Evolving Epidemiology ofAntibiotics (Basel, Switzerland) · 2023
    Review
  15. Article
  16. Sentinel surveillance and epidemiology ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  17. Article
  18. Article
  19. Molecular epidemiology ofFrontiers in public health · 2022
    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

5 authors.

T J CarlsonHigh Point University Fred Wilson School of Pharmacy, High Point, NC, USA.
D BlasingameThe University of Houston College of Pharmacy, Houston, TX, USA.
A J Gonzales-LunaThe University of Houston College of Pharmacy, Houston, TX, USA.
F AlnezaryThe University of Houston College of Pharmacy, Houston, TX, USA; Department of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Medinah, Saudi Arabia.
K W GareyThe University of Houston College of Pharmacy, Houston, TX, USA. Electronic address: kgarey@uh.edu.

Funding

Decoding Antibiotic-induced Susceptibility to Clostridium difficile InfectionU01AI124290 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI BRITTON, ROBERT A, GAREY, KEVIN W · 2016 to 2020
$7.9M
NIAID NIH HHS U01 AI124290
6 · The paper itself

Abstract

Clostridioides difficile typing is invaluable for the investigation of both institution-specific outbreaks as well as national surveillance. While the epidemic ribotype 027 (RT027) has received a significant amount of resources and attention, ribotype 106 (RT106) has become more prevalent throughout the past decade. The purpose of this systematic review was to comprehensively summarize the genetic determinants, antimicrobial susceptibility, epidemiology, and clinical outcomes of infection caused by RT106. A total of 68 articles published between 1999 and 2019 were identified as relevant to this review. Although initially identified in the United Kingdom in 1999, RT106 is now found worldwide and became the most prevalent strain in the United States in 2016. Current data indicate that RT106 harbors the tcdA and tcdB genes, lacks binary toxin genes, and does not contain any deletions in the tcdC gene, which differentiates it from other epidemic strains, including ribotypes 027 and 078. Interestingly, RT106 produces more spores than other strains, including RT027. Overall, RT106 is highly resistant to erythromycin, clindamycin, fluoroquinolones, and third-generation cephalosporins. However, the MIC

Indexed as

RibotypingAnti-Bacterial AgentsClostridioides difficileClostridium InfectionsGenes, BacterialHumansMicrobial Sensitivity TestsPublic Health SurveillanceSpores, BacterialVirulenceAnti-Bacterial AgentsAnaerobeMolecular surveillanceRecurrenceSporesStrain typing

Identifiers

PMID32007682
PMCPMC7153973

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.