Evidence map›Paper›PMID 38257894›Full record

ReviewMicroorganisms2023

Animal and In Vitro Models as Powerful Tools to Decipher the Effects of Enteric Pathogens on the Human Gut Microbiota.

Marco Calvigioni, Diletta Mazzantini, Francesco Celandroni, Emilia Ghelardi

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Demonstration of phage inhibitory action againstFrontiers in antibiotics · 2025
    Article
  5. Review
  6. Review
  7. 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

4 authors at 1 institution in 1 country.

Marco CalvigioniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56127 Pisa, Italy.ORCID 0000-0001-7155-5837
Diletta MazzantiniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56127 Pisa, Italy.
Francesco CelandroniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56127 Pisa, Italy.
Emilia GhelardiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56127 Pisa, Italy.ORCID 0000-0001-6863-1384
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examining the interplay between intestinal pathogens and the gut microbiota is crucial to fully comprehend the pathogenic role of enteropathogens and their broader impact on human health. Valid alternatives to human studies have been introduced in laboratory practice to evaluate the effects of infectious agents on the gut microbiota, thereby exploring their translational implications in intestinal functionality and overall health. Different animal species are currently used as valuable models for intestinal infections. In addition, considering the recent advances in bioengineering, futuristic in vitro models resembling the intestinal environment are also available for this purpose. In this review, the impact of the main human enteropathogens (i.e.,

Indexed as

Bacillus cereusCampylobacter jejuniClostridioides difficileenteric pathogensEscherichia coligut microbiotaintestinal infectionSalmonella entericaShigellaVibrio cholerae

Identifiers

PMID38257894
PMCPMC10818369
OpenAlexW4390405282

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.