Evidence map›Paper›PMID 41009910›Full record

ArticleAntibiotics (Basel, Switzerland)2025

Time Trends in Prevalence and Antimicrobial Resistance of Respiratory Pathogens in a Tertiary Hospital in Rome, Italy: A Retrospective Analysis (2018-2023).

Fabio Ingravalle, Massimo Maurici, Antonio Vinci, Stefano Di Carlo, Cartesio D'Agostini, Francesca Pica, Marco Ciotti

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

7 authors.

Fabio IngravalleDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0001-6295-9848
Massimo MauriciDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0001-5884-161X
Antonio VinciDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-4915-7733
Stefano Di CarloDepartment of Laboratory Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.
Cartesio D'AgostiniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Francesca PicaDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-7899-889X
Marco CiottiLaboratory of Microbiology and Virology, Tor Vergata University Hospital, 00133 Rome, Italy.ORCID 0000-0002-9943-9130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increase in antimicrobial resistance (AMR) is a growing concern for global health. Understanding longitudinal trends in pathogen prevalence and resistance patterns is essential for guiding clinical management and antibiotic stewardship. This retrospective observational study analyzed respiratory microbial isolates collected from 2018 to 2023 in Tor Vergata University Hospital, Rome, Italy.

methodsThe data were analyzed through WHOnet 2025 software, and the breakpoint references used are those of EUCAST 2025. The data analyzed included pathogen identification, antibiotic resistance rates, and specimen types. Time-trend analyses were conducted to assess changes in pathogen prevalence and antibiotic resistance rates over time, using the Pearson correlation coefficient and linear regression model.

resultsMore than 54,000 unique microorganism/drug associations were analyzed, with the majority of them relative to inpatients (over 90%).

conclusionsThese findings underscore the dynamism of changing patterns of prevalence of microorganisms and their resistance to antimicrobials. They underscore the importance of continuous microbiological surveillance to optimize empirical therapies and guide infection control policies.

Indexed as

antibiotic resistancemoleculespathogens prevalencerespiratory pathogensretrospective analysis

Identifiers

PMID41009910
PMCPMC12466844

What OpenQuestion holds

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Registered trials

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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.