Evidence map›Paper›PMID 38927173›Full record

ReviewAntibiotics (Basel, Switzerland)2024

Antibiotic Treatment of Carbapenem-Resistant

Francesca Serapide, Maurizio Guastalegname, Sara Palma Gullì, Rosaria Lionello, Andrea Bruni, Eugenio Garofalo, Federico Longhini, Enrico Maria Trecarichi, Alessandro Russo

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2024. 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. Article
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  4. New Insights intoPathogens (Basel, Switzerland) · 2026
    Review
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  6. Review
  7. Article
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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

9 authors.

Francesca SerapideInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.
Maurizio GuastalegnameInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.
Sara Palma GullìInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.
Rosaria LionelloInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.
Andrea BruniIntensive Care Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.
Eugenio GarofaloIntensive Care Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.
Federico LonghiniIntensive Care Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0002-6970-7202
Enrico Maria TrecarichiInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0001-9064-7745
Alessandro RussoInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0003-3846-4620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is estimated that antimicrobial resistance (AMR) is responsible for nearly 5 million human deaths worldwide each year and will reach 10 million by 2050. Carbapenem-resistant

Indexed as

Acinetobacter baumanniicarbapenem resistancecefiderocolguidelinesreal-world evidencesulbactam/durlobactam

Identifiers

PMID38927173
PMCPMC11201171

What OpenQuestion holds

Textmetadata
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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.