Evidence map›Paper›PMID 33842195›Full record

ArticleCurrent clinical microbiology reports2020

Giovanni Ghielmetti, Urs Giger

Abstract read
In one paragraph

Article in Current clinical microbiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Isolation of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Identification and Phylogenetic Analysis ofTransboundary and emerging diseases · 2023
    Article
  15. Detection of theIranian journal of veterinary research · 2023
    Article
  16. Article
  17. Article
  18. Unusual Presentation of Feline Leprosy Caused byPathogens (Basel, Switzerland) · 2021
    Article
  19. Frontiers in cellular and infection microbiology · 2020
    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

2 authors.

Giovanni GhielmettiInstitute for Food Safety and Hygiene, Section of Veterinary Bacteriology, University of Zurich, Winterthurerstrasse 270, 8057 Zurich, Switzerland.
Urs GigerClinic for Small Animal Internal Medicine, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, 8057 Zürich, Switzerland.

Funding

Referral Ctr-Animal models of human genetic diseaseP40OD010939 · OD · UNIVERSITY OF PENNSYLVANIA · PI CASAL, MARGRET L · 2012 to 2023
$7.9M
NIH HHS P40 OD010939
6 · The paper itself

Abstract

purpose of reviewAmong the nontuberculous mycobacteria (NTM), RECENT

findingsAlthough MAC infection is infrequently diagnosed in dogs, a strong breed predisposition particularly for Miniature Schnauzer and Basset Hound dogs is evident. A recessively inherited defect of the adaptor protein CARD9 has recently been documented to be responsible for the increased susceptibility to MAC in the Miniature Schnauzer breed. SUMMARY: Given the zoonotic potential of a MAC infected dog particularly to immunocompromised human patients, diseased dogs pose a public health risk. While not a reportable disease, treatment of systemic mycobacteriosis is generally not effective and discouraged in dogs. The collaborative efforts by microbiologists, veterinary clinicians, dog breeders, primary care physicians, and infectious disease specialists applying the One Health approach is therefore crucial for the best management and prevention of MAC infection.

Indexed as

Cutaneous and disseminated mycobacteriosisDogMycobacterium aviumNon-tuberculous mycobacteriaPrecision medicine

Identifiers

PMID33842195
PMCPMC8034597

What OpenQuestion holds

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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.