Evidence map›Paper›PMID 32441243›Full record

ArticleEmerging infectious diseases2020

Clostridioides difficile in COVID-19 Patients, Detroit, Michigan, USA, March-April 2020.

Avnish Sandhu, Glenn Tillotson, Jordan Polistico, Hossein Salimnia, Mara Cranis, Judy Moshos, Lori Cullen, Lavina Jabbo, Lawrence Diebel, Teena Chopra

Abstract readLetter
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
–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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Journal of clinical medicine · 2026
    Article
  5. Oral Vancomycin in the Treatment ofAntibiotics (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Review
  8. COVID-19 andAntibiotics (Basel, Switzerland) · 2024
    Article
  9. Molecular docking, dynamics andBioinformation · 2024
    Article
  10. Recurrent Clostridioides difficile Infection: Current Clinical Management and Microbiome-Based Therapies.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. The impact of the COVID-19 pandemic onTherapeutic advances in gastroenterology · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Microorganisms · 2022
    Article
  20. Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Avnish Sandhu
Glenn Tillotson
Jordan Polistico
Hossein Salimnia
Mara Cranis
Judy Moshos
Lori Cullen
Lavina Jabbo
Lawrence Diebel
Teena Chopra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe 9 patients at a medical center in Detroit, Michigan, USA, with severe acute respiratory syndrome coronavirus 2 and Clostridioides difficile. Both infections can manifest as digestive symptoms and merit screening when assessing patients with diarrhea during the coronavirus disease pandemic. These co-infections also highlight the continued importance of antimicrobial stewardship.

Indexed as

BetacoronavirusClostridioides difficileAdultAgedAnti-Bacterial AgentsAntimicrobial StewardshipClostridium InfectionsCoinfectionCoronavirus InfectionsCOVID-19FemaleHumansMaleMichiganMiddle AgedPandemicsAnti-Bacterial Agentsantibioticsantimicrobial drug resistancebacteriabacterial infectionsClostridiodes difficileco-infectioncoronavirus diseaseCOVID-19DetroitdiarrheaMichigannosocomial infectionsrespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2United Statesviruseszoonoses

Identifiers

PMID32441243
PMCPMC7454075

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.